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Presenter: Avantika Gupta
Moderator: Assoc. Prof Vijaya E
BMC 2019 Dec;20(1):1-10
Systematic review of basket trials, umbrella
trials, and platform trials: A landscape analysis
of master protocols
(good title)
Why this article?
• Master protocol
 Basket trial
 Platform trial
 Umbrella trial
ADAPTIVE DESIGN
Features Conventional trial Adaptive design
Design More rigid Flexible
Treatment arms Maximum two or three Many simultaneously
Hypothesis
Test the hypothesis under
consideration
Fit data into a hypothesis
Modifications
Not allowed without protocol
amendments
Pre-specified allowed
Phases Phases I–II well defined Seamless phase II/III design
Statistical analysis frequentists methods complicated Bayesian approach
Organization Much simple Complicated, requiring simulations
Interim analysis Not a routine Done routinely and frequently
Role of IDMC More once trial/phase is over Proactive role throughout the trial
Table: General Characteristics of conventional and adaptive design
Clinical trials are most commonly
based on a “one population, one
drug, one disease” strategy
Precision
medicine? Targeted
therapies?
Heterogenous
population?
Multiple
treatment?
Multiple
disease?
Advanced
cancers and
rare genetic
diseases?
MASTER PROTOCOL
Master protocol is defined as a protocol designed with multiple sub-
studies, which may have different objectives and involves coordinated
efforts to evaluate one or more investigational drugs in one or more
disease subtypes within the overall trial structure
Basket trial
Disease/ histologic
feature 1
Disease/ histologic
feature 2
Disease/ histologic
feature 3
Screen for presence of target
Target positive
Target driven
therapy
BRAF-V600
NSCLC Colorectal
Screen for presence of target
BRAF-V600
Vemurafenib
Cholangio-
carcinoma ECD / LCH Thyroid
Objective response rate
Single disease/ histology
Screening for biomarkers
Biomarker 1 Biomarker 2 Biomarker 3
Targeted
therapy 1
Umbrella trial
Control Targeted
therapy 2
Control Targeted
therapy 3
Control
Squamous cell lung cancer
Genomic screening
Sub-study assignment based on biomarker
Sub-study A
(Non-match)
Sub-study B
(PIK3CA
Mutation)
Sub-study C
(CDK4,
CCND1, 2, 3)
Sub-study D
(FGFR
mutation)
MEDI4736 GDC-0032 Palbociclib AZD4547
LUNG-MAP
CT CT CT
PFS and OS
Trial events
Time (ongoing)
Trialschema
Bm A
Bm B
Bm -ve
Investigational drug 1
Investigational drug 2
Std. of care-A
Stop because criteria for success are met
Recruitment
closed
Investigational drug 1 becomes new std. of care- A
Platform trial
Investigational drug 3
Std. of care-B
Stop for
futility
Investigational drug 4
Std. of care for bm -ve
Stratum continues to
enrol patients
Investigational drug 4
Std. of care-C
Bm C
I-SPY 2 trial
Characteristics Conventional trial Platform trial
Scope
Efficacy of a single agent in a
homogeneous population
Evaluating efficacy of multiple agents in a
heterogeneous population
Duration
Finite, based on time required to
answer the single primary questions
Potentially long-term, as long as there are
suitable treatments requiring evaluation
No. of treatment
groups
Pre-specified and generally limited
Multiple treatment groups (number of
treatment groups and the specific
treatments may change over time)
Stopping rules
Entire trial may be stopped early for
success or futility or harm
Trial continues, with the addition of new
experimental treatment(s)
Allocation
strategy
Fixed randomization Response-adaptive randomization
Sponsor
support
Single federal or industrial sponsor
Multiple federal
or industrial sponsors or a combination
General Characteristics of conventional and platform trial
Seamless design
Challenges faced by
Master Protocols
Protocol
changes
Resources
Appropriate
communication
Innovative
statistical
analysis
Validity,
power
Trial
complexity
Ethics
Consent
Background: Master protocols, classified as basket trials, umbrella trials, and platform trials, are novel designs that investigate multiple
hypotheses through concurrent sub-studies (e.g., multiple treatments or populations or that allow adding/removing arms during the trial),
offering enhanced efficiency and a more ethical approach to trial
evaluation. Despite the many advantages of these designs, they are infrequently used.
Methods: We conducted a landscape analysis of master protocols using a systematic literature search to determine what trials have been
conducted and proposed for an overall goal of improving the literacy in this emerging concept. On July 8, 2019, English-language studies
were identified from MEDLINE, EMBASE, and CENTRAL databases and hand searches of published reviews and registries.
Results: We identified 83 master protocols (49 basket, 18 umbrella, and 16 platform trials). The number of master
protocols has increased rapidly over the last five years. Most have been conducted in the US (n = 44/83) and investigated experimental drugs
(n = 82/83) in the field of oncology (n = 76/83). The majority of basket trials were exploratory (i.e., phase I/II; n = 47/49) and not
randomized (n = 44/49), and more than half (n = 28/48) investigated only a single intervention. The median sample size of basket trials was
205 participants (interquartile range, Q3-Q1 [IQR]: 500–90 = 410), and the median study duration was 22.3 (IQR: 74.1–42.9 = 31.1) months.
Similar to basket trials, most umbrella trials were exploratory (n = 16/18), but the use of randomization was more common (n = 8/18). The
median sample size of umbrella trials was 346 participants (IQR: 565–252 = 313), and the median study duration was 60.9 (IQR: 81.3–46.9
= 34.4) months. The median number of interventions investigated in umbrella trials was 5 (IQR: 6–4 = 2). The majority of platform trials
were randomized (n = 15/16), and phase III investigation (n = 7/15; one did not report information on phase) was more common in platform
trials with four of them using seamless II/III design. The median sample size was 892 (IQR: 1835–255=1580), and the median study
duration was 58.9 (IQR: 101.3–36.9 = 64.4) months.
Conclusions: We anticipate that the number of master protocols will continue to increase at a rapid pace over the
upcoming decades. More efforts to improve awareness and training are needed to apply these innovative trial design
methods to fields outside of oncology.
Keywords: Master protocols, Basket trials, Umbrella trials, Platform trials, Multi-arm, multi-stage design
ABSTRACT
(Structured and informative)
INTRODUCTION
• Advancements in genomics, have improved the ability to differentiate
cancers by their genetic mutations
• Precision oncology: Therapies are selected to specifically target
cancers on the basis of their genetic mutations
• These innovative treatments are commonly referred to as targeted
therapies
• It is unrealistic to investigate the broad spectrum of genetic sub-
populations by conventional trial designs
• Thus, “master protocol” frameworks have been proposed to provide a
means of comprehensively and adaptively evaluating treatments from
the field of oncology
• General goals are improving efficiency and establishing uniformity
• Under a common infrastructure, the master protocol may be
differentiated into multiple parallel sub studies
• Master protocols may be tailored and adapted to suit the research
objectives of multiple clinical indications
• But they have not been well established in fields outside of oncology
• Thus, improved understanding and awareness of these research
designs are important for the research community
• Methodological summaries of master protocols to date have not been
comprehensive
• With the intent of improving literacy in this emerging field, this
comprehensive systematic literature review was conducted
(Rationale for the review well described)
To determine what trials have been conducted and proposed, for an
overall goal of improving the literacy in this emerging concept
OBJECTIVE
(SMART & good action verb is used)
MATERIALS AND METHODS
 Study design:
Systematic review
(Appropriate to answer the objective)
Protocol and registration:
(Not given)
 Eligibility criteria:
Category Inclusion criteria:
Population Humans
Interventions No restrictions
Comparator No restrictions
Outcomes No restrictions
Study design
Basket trials
Umbrella trials
Platform trials
Other Peer-reviewed publications and conference abstracts with
results or published protocols in English language
Table 1. PICOS (population, intervention, comparator, outcomes,
study design) criteria
Mater protocol
Master protocols were defined as a single overarching protocol
that has been designed to be divided into multiple sub-studies that
could allow for evaluation of multiple interventional hypotheses
Basket trials
‘Basket trials’ were defined as any prospective clinical trials that
tested the utility (e.g., effectiveness, dosage, and safety) of
intervention(s) in a study population of multiple diseases with
common predictive biomarkers and/or other common predictive
patient characteristics that can be used to predict whether a
patient will respond to a specific intervention as the unifying
eligibility criteria
Umbrella trials
‘Umbrella trials’ were defined as any prospective clinical trials
that tested the utility of targeted interventions based on predictive
biomarkers or other patient characteristics or both
Platform trials
• ‘Platform trials’ were defined as any clinical trials that allowed
the intervention arm(s) to be dropped and the flexibility of
introducing new intervention(s) during the trial
• Platform trials are sometimes referred to as multi-arm, multi-
stage (MAMS) designs
 Exclusion criteria:
Non-English language studies
(Eligibility criteria for selecting studies are given
but are not mutually exclusive)
 Data sources:
Systematic searches were conducted on July 8, 2019, in:
• MEDLINE
• EMBASE
• Cochrane Central Register of Controlled Trials
• Bibliographies from included publications
• Trial registries (ClinicalTrials.gov and ISRCTN registry)
(Information of sources & last date searched given)
 Search strategy:
• Developed on the basis of a review of key papers, including the Draft
Guidance of the US Food and Drug Administration (FDA)
• Search terms: “master protocols”, “basket trials”, “umbrella trials”,
“platform trials” and “adaptive trial designs”
No. Terms Hits Comments
1
(Master protocol or master trial protocol or trial master
protocol).mp.
69 Master protocol
2
(Platform trial or platform clinical trial or adaptive
platform trial or platform adaptive trial).mp.
42 Platform trial design
3
(Umbrella trial or umbrella clinical trial or adaptive
umbrella trial or umbrella adaptive trial).mp.
11 Umbrella trial
4
(Basket trial or basket clinical trial or adaptive basket trial
or basket adaptive trial).mp.
48 Basket trial
5 (Multi-arm multi-stage or MAMS).mp. 297 Multi-arm multi-stage design
6
((Multi-stage or multi stage or multistage) and (clinical
trial or randomized trial or randomised trial)).mp.
298
7 Adaptive clinical trials.mp. 108
General terms for adaptive trial
designs
8 Adaptive clinical trial.mp. 98
9 Adaptive design.mp. 675
10 Flexible trial design.mp. 2
Table S1. Search strategy Medline
No. Terms Hits Comments
11 (Bayesian clinical trial or bayesian adaptive).mp. 294
12 Adaptive group sequential design.mp.
13
Adaptive group sequential
design
13 Group sequential design.mp. 150
14 (Interim monitoring or stochastic curtailment or futility analysis).mp.
256
Interim monitoring and
stochastic curtailment
15 (Predictive probabilit* or conditional power or bayesian predictive
probabilit*).mp.
484
16 ((Predictive power or posterior probabilit*) and (interim monitoring
or interim analys*)).mp.
30
17 ((Sample size or sample-size) adj3 (reestimation or re-estimation or re
estimation)).mp.
144
Sample size re-estimation
18 ((Sample size or sample-size) adj3 (reassessment or re-assessment or
re assessment)).mp.
47
19 ((Sample size or sample-size) adj3 adjustment).mp. 103
20 ((Sample size or sample-size) adj3 modification).mp. 24
21 (Enrichment design or population enrichment or population
enrichment design or bayesian adaptive enrichment).mp.
111
Population enrichment
design
22 (biomarker design or biomarker adaptive or biomarker adaptive
design or biomarker adjusted).mp.
30
Table S1. Cont.
No. Terms Hits Comments
23 (Responsive adaptive randomization or responsive adaptive
randomisation or responsive adaptive allocation or adaptive allocation
or adaptive randomization or adaptive randomisation or response
adaptive).mp.
389 Responsive adaptive
randomization
24 (Play the winner or play-the-winner or pick the winner or pick-the-
winner or drop the loser or drop-the-loser).mp.
79
25 (Adaptive dose rang* or adaptive dose or bayesian dose).mp. 265
26 (Seamless design or adaptive seamless or operationally seamless or
operational seamless or inferentially seamless or inferential
seamless).mp.
49 Seamless design
27 ("Seamless 2-3" or "seamless 2 to 3" or "seamless 2/3" or "seamless
phase ii/iii" or "seamless phase 2/3").mp.
48
28 ("Seamless 1-2" or "seamless 1 to 2" or "seamless 1/2" or "seamless
phase i/ii" or "seamless phase 1/2").mp.
17
29 or/1-28 3339
30 Humans/ 17835321
31 Animals/ 6430856
32 (29 and 30) not 31 2288 Limiting to studies on
humans
33 limit 32 to english language 2232 English language
Table S1. Cont.
Table S4. Search strategy for ClinicalTrials.gov and ISRCTN registry
Search details URL
Clinicaltrials.gov
"Master protocol"
https://clinicaltrials.gov/ct2/results?cond=&term=%22master
+protocol%22&cntry=&state=&city=&dist=&Search=Search
"Basket trial"
https://clinicaltrials.gov/ct2/results?cond=&term=%22basket
+trial%22&cntry=&state=&city=&dist=&Search=Search
"Umbrella trial"
https://clinicaltrials.gov/ct2/results?cond=&term=%22Umbrel
la+trial%22&cntry=&state=&city=&dist=&Search=Search
"Platform trial"
https://clinicaltrials.gov/ct2/results?cond=&term=%22platfor
m+trial%22&cntry=&state=&city=&dist=&Search=Search
Multi-arm multi-stage
https://clinicaltrials.gov/ct2/results?cond=&term=Multi-
arm+multi-
stage&cntry=&state=&city=&dist=&Search=Search
Table S4. Cont.
Search details URL
ISRCTN registry
Master protocol http://www.isrctn.com/search?q=master+protocol
Basket trial http://www.isrctn.com/search?q=Basket+trial
Umbrella trial http://www.isrctn.com/search?q=Umbrella+trial
Platform trial http://www.isrctn.com/search?q=%22platform+trial%22
Multi-arm multi-stage http://www.isrctn.com/search?q=Multi-arm+multi-stage
• Two reviewers (JJHP and MJZ) independently reviewed all abstracts
and proceedings identified in the literature searches
• Full-text publications of potentially relevant abstracts were then
retrieved and assessed for eligibility
 Study selection:
• Two reviewers also screened the bibliographies of published
literature reviews on master protocols (JJHP and ES) and trial
registries (JJHP and LD)
• Discrepancies in study selection were resolved by discussion or,
when necessary, by a third investigator (KT or EJM)
(Process of selecting studies well stated)
• Two investigators (JJHP and ES) independently extracted using a
standardized, piloted data extraction form to record:
 Study design elements
 Patient characteristics
 Outcomes
 Trial registry
 Data extraction:
 Trial recruitment status
 Phase
 Randomization
 Masking
 Number of clinical centres
 Sample size
 Trial duration
 Interventions
 Control
 Disease area
 Age of population
 Number of conventional diseases recruited
 Key eligibility for stratification
 Number of subgroups defined
 Geographic location of the master protocols
• Method of data extraction from reports described
• Lists all variables for which data were sought
• Use of manual searching of bibliographies mentioned
 Data synthesis:
• Meta-analysis was not conducted for this study
• Findings of this landscape analysis was presented descriptively
• Temporal trends of master protocols, geographical representation, and
trial and disease characteristics of each of the three master protocols
were reported
(well described)
RESULTS
Records identified
through database
searching (n=5869)
Additional records
identified through
other sources (n=140)
IDENTIFICATION
Records
screened
(n=6009)
SCREENING
Records
excluded
(n=5370)
Full text articles
assessed for
eligibility (n=639)
Full text articles excluded,
with reasons (n=424)
• Population : 0
• Interventions : 0
• Comparators : 0
• Outcomes : 0
• Study design : 333
• Other : 91
ELIGIBILITY
Included
publications
(n=214, 83 trials)
INCLUDED
Figure S1. Study flow chart
Literature search:
Master Protocol trials Identification
Basket trials 49
Umbrella trials 18
Platform trials 16
Trial ID Study ID Year Title
Basket trials
AcSe´ NCT02304809 2014
Phase 2 Study Assessing Secured Access to Vemurafenib
for Patients With Tumors Harboring BRAF Genomic
Alterations (AcSé)
Ado-trastuzumab Basket
trial
Li 2017 2017
Ado-trastuzumab emtansine in patients with her2 mutant
lung cancers: Results from a phase ii basket trial
Ado-trastuzumab Basket
trial
Li 2018 2018
A multi-histology basket trial of adotrastuzumab
emtansine in patients with her2 amplified cancers
Ado-trastuzumab Basket
trial
NCT02675829 2016
Trial of Ado-Trastuzumab Emtansine for Patients With
HER2 Amplified or Mutant Cancers
AGADIR NCT03915678 2019
Atezolizumab Combined With Intratumoral G100 AnD
Immunogenic Radiotherapy in Patients With Advanced
Solid Tumors (AGADIR)
ALCHEMIST NCT02193282 2014
Erlotinib Hydrochloride in Treating Patients With Stage
IB-IIIA Non-small Cell Lung Cancer That Has Been
Completely Removed by Surgery (An ALCHEMIST
Treatment Trial)
Table S6. List of included studies: Basket trials
ALCHEMIST NCT02201992 2014
Crizotinib in Treating Patients With Stage IB-IIIA Non-small Cell
Lung Cancer That Has Been Removed by Surgery and ALK
Fusion Mutations (An ALCHEMIST Treatment Trial)
ALCHEMIST NCT02595944 2015
Nivolumab After Surgery and Chemotherapy in Treating Patients
With Stage IB-IIIA Non-small Cell Lung Cancer (An
ALCHEMIST Treatment Trial) (ANVIL)
Bardia 2019 Bardia 2018 2018
Efficacy of sacituzumab govitecan (anti-trop- 2-sn-38 antibody-
drug conjugate) for treatment-refractory hormone-receptor positive
(hr+)/her2- metastatic breast cancer (mbc)
Trial ID Study ID Year Title
Basket trials
Basket of
Basket
NCT03767075 2018
A Modular Multi-Basket Trial to Improve Personalized Medicine
in Cancer Patients (Basket of Baskets) (BoB)
BeGIN NCT03872427 2019
Testing Whether Cancers With Specific Mutations Respond Better
to Glutaminase Inhibitor, CB-839 HCl, Anti-Cancer Treatment,
BeGIN Study
BLU-667
Basket Trial
Iams 2018 2018 Stop fretting the target: Next-generation ret inhibitors have arrived
BLU-667
Basket Trial
NCT03037385 2017
Phase 1 Study of the Highly-selective RET Inhibitor BLU-667 in
Patients With Thyroid Cancer, Non-Small Cell Lung Cancer, and
Other Advanced Solid Tumors
Table S6. Cont.
Table S7. List of included studies: Umbrella trials
Trial ID Study ID Year Title
Umbrella trial
Bardia 2019 Bardia 2019 2019
Sacituzumab Govitecan-hziy in Refractory Metastatic Triple-
Negative Breast Cancer.
Bardia 2019 Cardillo 2015 2015
Sacituzumab Govitecan (IMMU-132), an Anti-Trop-2/SN-38
Antibody-Drug Conjugate: Characterization and Efficacy in
Pancreatic, Gastric, and Other Cancers.
Bardia 2019 NCT01631552 2012 Phase I/II Study of IMMU-132 in Patients With Epithelial Cancers
Bardia 2019 Starodub 2015 2015
First-in-Human Trial of a Novel Anti-Trop-2 Antibody-SN-38
Conjugate, Sacituzumab Govitecan, for the Treatment of Diverse
Metastatic Solid Tumors.
BATTLE Kim 2011 2011 The BATTLE Trial: Personalizing Therapy for Lung Cancer
BATTLE NCT00409968 2006
BATTLE Program: Umbrella Protocol for Patients With Non-Small
Cell Lung Cancer (NSCLC)
BATTLE NCT00410059 2006
BATTLE Program: Erlotinib in Previously Treated Subjects With
Advanced NSCLC
BATTLE NCT00410189 2006
BATTLE Program: Erlotinib in Previously Treated Subjects With
Advanced NSCLC
BATTLE NCT00411632 2006
BATTLE Program: Tarceva and Targretin in Patients With Advanced
Non-Small Cell Lung Cancer (NSCLC)
Table S8. List of included studies: Platform trials
Trial ID Study ID Year Title
Platform trials
ALIC4E Butler 2018 2018 A trial like alic4e: Why design a platform, response-adaptive, open,
randomised controlled trial of antivirals for influenza-like illness?
ALIC4E ISRCTN27908921 2015 Antivirals for influenza-like illness? Are they effective?
CREATE NCT01524926 2012 CREATE: Cross-tumoral Phase 2 With Crizotinib (CREATE)
CREATE Peron 2019 2019 A multinational, multi-tumour basket study in very rare cancer types: The
european organization for research and treatment of cancer phase ii 90101
'create' trial
CREATE Schoffski 2017 2017 Activity and safety of crizotinib in patients with advanced clear-cell
sarcoma with MET alterations: European Organization for Research and
Treatment of Cancer phase II trial 90101 ‘CREATE’
CREATE Schoffski 2018 2018 Crizotinib in patients with advanced, inoperable inflammatory
myofibroblastic tumours with and without anaplastic lymphoma kinase
gene alterations (European Organisation for Research and Treatment of
Cancer 90101 CREATE): a multicentre, single-drug, prospective, non-
randomised phase 2 trial.
CREATE Schoffski 2018B 2018 Activity and safety of crizotinib in patients with alveolar soft part
sarcoma with rearrangement of TFE3: European Organization for
Research and Treatment of Cancer (EORTC) phase II trial 90101
‘CREATE’
Fig. 2 Trends of master protocols over time. This figure illustrates the accumulating
number of basket (white), umbrella (gray), and platform (black) trials over time.
Basket trial
(B2225)
Platform trial
(STAMPEDE)
Ongoing trials No.
Master protocol 68
Basket trials 39
Umbrella trials 17
Platform trials 12
11/
8/
4/
09/
Trial
characteristics
Basket trial
(n=49)
Umbrella trial
(n=18)
Platform trial
(n=16)
Drug investigation 48 18 16
Phase I/II (47) I/II (16) III (7/15)
Open label 46 16/18 12/14
Randomization 5 8 15
Sample size
(median, IQR)
205, 410 346, 313 892, 1580
Study duration
(months)
(median, IQR)
22.3, 31.1 60.9, 34.4 58.9, 64.4
Trial characteristics of master protocols
Master
protocol ID
Registry Trial status
Ph
ase
Rando
-mized
(Y/N)
Masking
Total
N
Proposed
trial
duration
(mo)
Interv-
ention
types
No of
interv
en-
tion
Contro
l: Y/N
Basket trials
AcSe´ NCT02304809 Recruiting II No Open label 500 90.9 Drugs 1 No
Ado-
trastuzumab
Basket trial
NCT02675829 Recruiting IIA No Open label 100 35.9 Drugs 1 No
AGADIR NCT03915678
Not yet
recruiting
II No Open label 247 47.9 Drugs 1 No
ALCHEMIST
NCT02201992;
NCT02193282;
NCT02595944
Recruiting III Yes Open label 1542 118.8 Drugs 3 Yes
Bardia 2019 NCT01631552
Active, not
recruiting
I/II No Open label 500 81.8 Drugs 1 No
Basket of
Basket
NCT03767075 Recruiting II No Open label 1000 4.0 Drugs 1 No
BeGIN NCT03872427
Not yet
recruiting
II No Open label 108 20.0 Drugs 1 No
Table S9. Trial characteristics of master protocols
Master protocol
ID
Registry Trial status
Ph
ase
Rando
-mized
(Y/N)
Masking
Total
N
Proposed
trial
duration
(mo)
Interv-
ention
types
No of
interv
en-
tion
Contro
l: Y/N
Umbrella trials
BATTLE-1 NCT00409968
Active, not
recruiting
(results
published)
II Yes Open label 250 167.7 Drugs 4 No
BATTLE-2 NCT01248247
Active, not
recruiting
(results
published)
II Yes Open label 334 95.8 Drugs 4 No
CheckMate 370 NCT02574078
Active, not
recruiting
I/II Yes Open label 342 41.3 Drugs 5 Yes
FOCUS4
ISRCTN90061
546
Completed/
published
II/
III
Yes
Double
blind
384 58.8 Drugs 5 Yes
FUTURE NCT03805399 Recruiting
Ib/I
I
No Open label 140 46.9 Drugs 7 No
Genomics
Enabled Medicine
for Melanoma
NCT02094872
Active, not
recruiting
II Yes Open label 47 46.9 Drugs 19 Yes
LUNG-MAP NCT02154490 Recruiting
II/
III
Yes Open label 10000 93.8 Drugs 5 Yes
Table S9. Cont.
Master
protocol ID
Registry Trial status
Ph
ase
Rando
-mized
(Y/N)
Masking
Total
N
Proposed
trial
duration
(mo)
Interv-
ention
types
No of
interv
en-
tion
Contro
l: Y/N
Platform trials
ALIC4E
ISRCTN279089
21
Completed
"N
A"
Yes Open label 675 39.0 Drugs NR Yes
EBOLA NCT02380625 Terminated II Yes Open label 150 35.9 Drugs 3 Yes
FRACTION
NCT02935634;
NCT02750514;
NCT02996110
Recruiting II Yes Open label 1004 68.3 Drugs 5+ Yes
GBM AGILE NR Recruiting
II/
III
Yes NR NR -- Drugs NR Yes
I-SPY2 NCT01042379
Recruiting/pub
lished
II Yes Open label 1920 128.8 Drugs 18 Yes
INSIGhT NCT02977780 Recruiting II Yes Open label 280 50.8 Drugs 3 Yes
LEAP NCT03092674
Suspended
(Unscheduled
safety data
review)
II/
III
Yes Open label 1670 67.8 Drugs 4+ Yes
Table S9. Cont.
Umbrella
trial
Platform
trial
Basket
trial
Fig. 3 Sample size distribution of master protocols
Abbreviation: IQR interquartile range
Median: 346
IQR: 565-252 = 313
Median: 892
IQR: 1835-
255 = 1580
Median: 205
IQR: 500-90 = 410
Disease characteristics of master protocols
• Most studies were in adult populations (n = 69/83)
• Nearly all were in the field of oncology (n = 76/83)
Master protocol ID
Disease
area
Type of
population
Age
eligibility
(yr)
Number
of
diseases
Key eligibility
criteria for
stratification
Number
of
subgroups
Basket trials
AcSe´ Oncology Adults ≥18 11+ Biomarkers 11
Ado-trastuzumab Basket
trial
Oncology Adults ≥18 4+ Biomarkers 4
AGADIR Oncology Adults ≥18 6 Tumour type 6
ALCHEMIST Oncology Adults ≥18 1
Biomarkers and
treatment history
3
Bardia 2019 Oncology Adults ≥18 16 Biomarker 16+
Basket of Basket Oncology Adults ≥18 2+ Biomarkers 6
BeGIN Oncology Mixed ≥18 4+ Biomarkers 4+
BLU-667 Basket Trial Oncology Adults ≥18 4+
Biomarkers and
treatment history
6
Table S10. Disease characteristics of master protocols
Master protocol ID
Disease
area
Type of
population
Age
eligibility
Number
of
diseases
Key eligibility
criteria for
stratification
Number
of
subgroups
Basket trials
CLUSTER
Hereditary
Periodic
Fevers
Mixed 1mo or
older
3 Disease type 3
TNT0009 Basket Trial
Complement
-Mediated
Disorders
Adults
18yr or
older
4 Biomarkers 3
Master protocol ID
Disease
area
Type of
population
Age
eligibility
Number
of
diseases
Key eligibility
criteria for
stratification
Number
of
subgroups
Umbrella trials
BATTLE-1 Oncology Adults ≥18 1
Biomarkers and
tumour type
4
BATTLE-2 Oncology Adults ≥18 1
Biomarkers and
tumour type
NR
CheckMate 370 Oncology Adults ≥18 1 Biomarkers NR
FOCUS4 Oncology Adults ≥18 1
Biomarkers and
tumour type
5
FUTURE Oncology Adults ≥18 1 Biomarkers 4
Genomics Enabled
Medicine for Melanoma
Oncology Adults ≥18 1 Biomarkers 19
LUNG-MAP Oncology Adults ≥18 1
Biomarkers and
tumour type
5
BATTLE-1 Oncology Adults ≥18 1
Biomarkers and
tumour type
4
Table S10. Cont.
Master protocol ID
Disease
area
Type of
population
Age
eligibility
Number
of
diseases
Key eligibility
criteria for
stratification
Number
of
subgroups
Platform trials
ALIC4E Influenza Mixed
At least
1yr
1
Disease type and risk
factors
NR
EBOLA Ebola Mixed
6mo or
older
1 Disease type NR
FRACTION Oncology Adults
18 yrs or
older
3 Biomarkers 12
GBM AGILE Oncology NR NR 1
Biomarkers and
tumour type
6
I-SPY2 Oncology Adults
18yr or
older
1
Biomarkers and
tumour type
3
INSIGhT Oncology Adults
18yr or
older
1
Biomarkers and
tumour type
4
LEAP Oncology
Adults
(older)
60yr or
older
1 Biomarkers NR
ALIC4E Influenza Mixed
At least
1yr
1
Disease type and risk
factors
NR
Table S10. Cont.
Master protocol
ID
Disease
area
Type
of
popula
-tion
Age
eligibi
-lity
Number
of
diseases
Key
eligibility
criteria for
stratification
Number
of sub-
groups
Platform trials
ALIC4E Influenza Mixed
At least
1yr
1
Disease type
and risk factors
NR
EBOLA Ebola Mixed
6mo or
older
1 Disease type NR
REMAP-CAP Pneumonia Adults
18yr or
older
1 NR NR
UPMC REMAP Surgery Adults
18 yrs
or older
1 NR NR
The DIAN-TU
platform
Alzheimer's Adults 18-80yr 3 Biomarkers NR
Geographic representation of master protocols
Fig 4. Geographical representation of master protocols. This figure illustrates
the accumulating number of basket (white), umbrella (gray), and platform
(black) trials over time
n=44/83
FUTURE, GBM
AGILE, TRUMP
AND VE BASKET
Table S11. Geographic location of master protocols
Master protocol ID
N of
centers
involved
LMICs
involved
Countries
Basket trials
AcSe´ NR No France
Ado-trastuzumab Basket trial 1 No US
AGADIR 10 No France
ALCHEMIST 1349 No US
Bardia 2019 12 No US
Basket of Basket 3 No France, Spain, and UK
BeGIN 1 No US
Table S11. Cont.
Master protocol ID
N of
centers
involved
LMICs
involved
Countries
Umbrella trials
BATTLE-1 1 No US
BATTLE-2 2 No US
CheckMate 370 133 No US
FOCUS4 18 No UK
FUTURE 1
Yes
(China)
China
Genomics Enabled Medicine
for Melanoma
8 No US
LUNG-MAP 1004 No US, Canada
Table S11. Cont.
Master protocol ID
N of centers
involved
LMICs
involved
Countries
Platform trials
ALIC4E 39 No
Belgium, Croatia, Czech Republic, Denmark, France,
Greece, Hungary, Ireland, Lithuania, Netherlands,
Norway, Poland, Spain, Sweden, Switzerland, United
Kingdom
EBOLA NR
Yes (West
Africa)
Guinea, Sierra Leone, Liberia
FRACTION 50 No
US, Australia, Austria, Canada, France, Italy, Spain,
Switzerland
GBM AGILE NR Yes (China) US, Australia, China
I-SPY2 24 No US
INSIGhT 10 No US
LEAP 508 No US
• In line with objectives
• PRISMA flow diagram given
• Tables are self-explanatory
• Footnotes are given
• Fig 4. labelling is not proper
To their knowledge, this is the first landscape analysis of master
protocols
STRENGTH
LIMITATION
Variability of terminology and lack of standardized nomenclatures and
indexing of master protocols in the medical databases
CONCLUSIONS
• Number of master protocols, especially in the last five years, has
increased dramatically and is anticipated to continue over the coming
years
• Master protocols, particularly platform trials, have the potential to
improve the efficiency across the broad spectrum of clinical trial
research
(In line with objective and derived from study results)
RECOMMENDATIONS
• Improved approach to standardized nomenclature and database
indexing is essential to improve the identification and retrieval of these
study designs
• Efforts are needed to improve the awareness and technical expertise of
master protocols to investigators in fields outside of oncology and in
geographic regions outside of high-income countries
(Derived from conclusion, specific and doable)
FUNDING:
This study was not funded
DECLARATION OF INTERESTS:
Authors declare that they have no competing interests
ETHICS APPROVAL:
Not applicable
What did I learn?
• Adaptive designs
• Master protocol
 Basket trial
 Platform trial
 Umbrella trial
COVID-19 Trials
COVID-19 Trials
ACTIV ( Accelerating COVID-19 Therapeutic
Interventions and Vaccines )
REMAP-CAP REMAP-COVID
AGILE-ACCORD
(ACcelerating COVID-19 dRug Development)
PRINCIPLE ( Platform Randomised trial of
INtervention against COVID-19 In older peoPLE)
SOLIDARITY
Thank You

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Systematic review of master protocols

  • 1. Presenter: Avantika Gupta Moderator: Assoc. Prof Vijaya E BMC 2019 Dec;20(1):1-10 Systematic review of basket trials, umbrella trials, and platform trials: A landscape analysis of master protocols (good title)
  • 2. Why this article? • Master protocol  Basket trial  Platform trial  Umbrella trial
  • 4. Features Conventional trial Adaptive design Design More rigid Flexible Treatment arms Maximum two or three Many simultaneously Hypothesis Test the hypothesis under consideration Fit data into a hypothesis Modifications Not allowed without protocol amendments Pre-specified allowed Phases Phases I–II well defined Seamless phase II/III design Statistical analysis frequentists methods complicated Bayesian approach Organization Much simple Complicated, requiring simulations Interim analysis Not a routine Done routinely and frequently Role of IDMC More once trial/phase is over Proactive role throughout the trial Table: General Characteristics of conventional and adaptive design
  • 5. Clinical trials are most commonly based on a “one population, one drug, one disease” strategy Precision medicine? Targeted therapies? Heterogenous population? Multiple treatment? Multiple disease? Advanced cancers and rare genetic diseases?
  • 6. MASTER PROTOCOL Master protocol is defined as a protocol designed with multiple sub- studies, which may have different objectives and involves coordinated efforts to evaluate one or more investigational drugs in one or more disease subtypes within the overall trial structure
  • 7. Basket trial Disease/ histologic feature 1 Disease/ histologic feature 2 Disease/ histologic feature 3 Screen for presence of target Target positive Target driven therapy
  • 8. BRAF-V600 NSCLC Colorectal Screen for presence of target BRAF-V600 Vemurafenib Cholangio- carcinoma ECD / LCH Thyroid Objective response rate
  • 9. Single disease/ histology Screening for biomarkers Biomarker 1 Biomarker 2 Biomarker 3 Targeted therapy 1 Umbrella trial Control Targeted therapy 2 Control Targeted therapy 3 Control
  • 10. Squamous cell lung cancer Genomic screening Sub-study assignment based on biomarker Sub-study A (Non-match) Sub-study B (PIK3CA Mutation) Sub-study C (CDK4, CCND1, 2, 3) Sub-study D (FGFR mutation) MEDI4736 GDC-0032 Palbociclib AZD4547 LUNG-MAP CT CT CT PFS and OS
  • 11. Trial events Time (ongoing) Trialschema Bm A Bm B Bm -ve Investigational drug 1 Investigational drug 2 Std. of care-A Stop because criteria for success are met Recruitment closed Investigational drug 1 becomes new std. of care- A Platform trial Investigational drug 3 Std. of care-B Stop for futility Investigational drug 4 Std. of care for bm -ve Stratum continues to enrol patients Investigational drug 4 Std. of care-C Bm C
  • 13. Characteristics Conventional trial Platform trial Scope Efficacy of a single agent in a homogeneous population Evaluating efficacy of multiple agents in a heterogeneous population Duration Finite, based on time required to answer the single primary questions Potentially long-term, as long as there are suitable treatments requiring evaluation No. of treatment groups Pre-specified and generally limited Multiple treatment groups (number of treatment groups and the specific treatments may change over time) Stopping rules Entire trial may be stopped early for success or futility or harm Trial continues, with the addition of new experimental treatment(s) Allocation strategy Fixed randomization Response-adaptive randomization Sponsor support Single federal or industrial sponsor Multiple federal or industrial sponsors or a combination General Characteristics of conventional and platform trial
  • 14.
  • 16. Challenges faced by Master Protocols Protocol changes Resources Appropriate communication Innovative statistical analysis Validity, power Trial complexity Ethics Consent
  • 17. Background: Master protocols, classified as basket trials, umbrella trials, and platform trials, are novel designs that investigate multiple hypotheses through concurrent sub-studies (e.g., multiple treatments or populations or that allow adding/removing arms during the trial), offering enhanced efficiency and a more ethical approach to trial evaluation. Despite the many advantages of these designs, they are infrequently used. Methods: We conducted a landscape analysis of master protocols using a systematic literature search to determine what trials have been conducted and proposed for an overall goal of improving the literacy in this emerging concept. On July 8, 2019, English-language studies were identified from MEDLINE, EMBASE, and CENTRAL databases and hand searches of published reviews and registries. Results: We identified 83 master protocols (49 basket, 18 umbrella, and 16 platform trials). The number of master protocols has increased rapidly over the last five years. Most have been conducted in the US (n = 44/83) and investigated experimental drugs (n = 82/83) in the field of oncology (n = 76/83). The majority of basket trials were exploratory (i.e., phase I/II; n = 47/49) and not randomized (n = 44/49), and more than half (n = 28/48) investigated only a single intervention. The median sample size of basket trials was 205 participants (interquartile range, Q3-Q1 [IQR]: 500–90 = 410), and the median study duration was 22.3 (IQR: 74.1–42.9 = 31.1) months. Similar to basket trials, most umbrella trials were exploratory (n = 16/18), but the use of randomization was more common (n = 8/18). The median sample size of umbrella trials was 346 participants (IQR: 565–252 = 313), and the median study duration was 60.9 (IQR: 81.3–46.9 = 34.4) months. The median number of interventions investigated in umbrella trials was 5 (IQR: 6–4 = 2). The majority of platform trials were randomized (n = 15/16), and phase III investigation (n = 7/15; one did not report information on phase) was more common in platform trials with four of them using seamless II/III design. The median sample size was 892 (IQR: 1835–255=1580), and the median study duration was 58.9 (IQR: 101.3–36.9 = 64.4) months. Conclusions: We anticipate that the number of master protocols will continue to increase at a rapid pace over the upcoming decades. More efforts to improve awareness and training are needed to apply these innovative trial design methods to fields outside of oncology. Keywords: Master protocols, Basket trials, Umbrella trials, Platform trials, Multi-arm, multi-stage design ABSTRACT (Structured and informative)
  • 19. • Advancements in genomics, have improved the ability to differentiate cancers by their genetic mutations • Precision oncology: Therapies are selected to specifically target cancers on the basis of their genetic mutations • These innovative treatments are commonly referred to as targeted therapies
  • 20. • It is unrealistic to investigate the broad spectrum of genetic sub- populations by conventional trial designs • Thus, “master protocol” frameworks have been proposed to provide a means of comprehensively and adaptively evaluating treatments from the field of oncology • General goals are improving efficiency and establishing uniformity
  • 21. • Under a common infrastructure, the master protocol may be differentiated into multiple parallel sub studies • Master protocols may be tailored and adapted to suit the research objectives of multiple clinical indications • But they have not been well established in fields outside of oncology
  • 22. • Thus, improved understanding and awareness of these research designs are important for the research community • Methodological summaries of master protocols to date have not been comprehensive • With the intent of improving literacy in this emerging field, this comprehensive systematic literature review was conducted (Rationale for the review well described)
  • 23. To determine what trials have been conducted and proposed, for an overall goal of improving the literacy in this emerging concept OBJECTIVE (SMART & good action verb is used)
  • 25.  Study design: Systematic review (Appropriate to answer the objective) Protocol and registration: (Not given)
  • 26.  Eligibility criteria: Category Inclusion criteria: Population Humans Interventions No restrictions Comparator No restrictions Outcomes No restrictions Study design Basket trials Umbrella trials Platform trials Other Peer-reviewed publications and conference abstracts with results or published protocols in English language Table 1. PICOS (population, intervention, comparator, outcomes, study design) criteria
  • 27. Mater protocol Master protocols were defined as a single overarching protocol that has been designed to be divided into multiple sub-studies that could allow for evaluation of multiple interventional hypotheses
  • 28. Basket trials ‘Basket trials’ were defined as any prospective clinical trials that tested the utility (e.g., effectiveness, dosage, and safety) of intervention(s) in a study population of multiple diseases with common predictive biomarkers and/or other common predictive patient characteristics that can be used to predict whether a patient will respond to a specific intervention as the unifying eligibility criteria
  • 29. Umbrella trials ‘Umbrella trials’ were defined as any prospective clinical trials that tested the utility of targeted interventions based on predictive biomarkers or other patient characteristics or both
  • 30. Platform trials • ‘Platform trials’ were defined as any clinical trials that allowed the intervention arm(s) to be dropped and the flexibility of introducing new intervention(s) during the trial • Platform trials are sometimes referred to as multi-arm, multi- stage (MAMS) designs
  • 31.  Exclusion criteria: Non-English language studies (Eligibility criteria for selecting studies are given but are not mutually exclusive)
  • 32.  Data sources: Systematic searches were conducted on July 8, 2019, in: • MEDLINE • EMBASE • Cochrane Central Register of Controlled Trials • Bibliographies from included publications • Trial registries (ClinicalTrials.gov and ISRCTN registry) (Information of sources & last date searched given)
  • 33.  Search strategy: • Developed on the basis of a review of key papers, including the Draft Guidance of the US Food and Drug Administration (FDA) • Search terms: “master protocols”, “basket trials”, “umbrella trials”, “platform trials” and “adaptive trial designs”
  • 34. No. Terms Hits Comments 1 (Master protocol or master trial protocol or trial master protocol).mp. 69 Master protocol 2 (Platform trial or platform clinical trial or adaptive platform trial or platform adaptive trial).mp. 42 Platform trial design 3 (Umbrella trial or umbrella clinical trial or adaptive umbrella trial or umbrella adaptive trial).mp. 11 Umbrella trial 4 (Basket trial or basket clinical trial or adaptive basket trial or basket adaptive trial).mp. 48 Basket trial 5 (Multi-arm multi-stage or MAMS).mp. 297 Multi-arm multi-stage design 6 ((Multi-stage or multi stage or multistage) and (clinical trial or randomized trial or randomised trial)).mp. 298 7 Adaptive clinical trials.mp. 108 General terms for adaptive trial designs 8 Adaptive clinical trial.mp. 98 9 Adaptive design.mp. 675 10 Flexible trial design.mp. 2 Table S1. Search strategy Medline
  • 35. No. Terms Hits Comments 11 (Bayesian clinical trial or bayesian adaptive).mp. 294 12 Adaptive group sequential design.mp. 13 Adaptive group sequential design 13 Group sequential design.mp. 150 14 (Interim monitoring or stochastic curtailment or futility analysis).mp. 256 Interim monitoring and stochastic curtailment 15 (Predictive probabilit* or conditional power or bayesian predictive probabilit*).mp. 484 16 ((Predictive power or posterior probabilit*) and (interim monitoring or interim analys*)).mp. 30 17 ((Sample size or sample-size) adj3 (reestimation or re-estimation or re estimation)).mp. 144 Sample size re-estimation 18 ((Sample size or sample-size) adj3 (reassessment or re-assessment or re assessment)).mp. 47 19 ((Sample size or sample-size) adj3 adjustment).mp. 103 20 ((Sample size or sample-size) adj3 modification).mp. 24 21 (Enrichment design or population enrichment or population enrichment design or bayesian adaptive enrichment).mp. 111 Population enrichment design 22 (biomarker design or biomarker adaptive or biomarker adaptive design or biomarker adjusted).mp. 30 Table S1. Cont.
  • 36. No. Terms Hits Comments 23 (Responsive adaptive randomization or responsive adaptive randomisation or responsive adaptive allocation or adaptive allocation or adaptive randomization or adaptive randomisation or response adaptive).mp. 389 Responsive adaptive randomization 24 (Play the winner or play-the-winner or pick the winner or pick-the- winner or drop the loser or drop-the-loser).mp. 79 25 (Adaptive dose rang* or adaptive dose or bayesian dose).mp. 265 26 (Seamless design or adaptive seamless or operationally seamless or operational seamless or inferentially seamless or inferential seamless).mp. 49 Seamless design 27 ("Seamless 2-3" or "seamless 2 to 3" or "seamless 2/3" or "seamless phase ii/iii" or "seamless phase 2/3").mp. 48 28 ("Seamless 1-2" or "seamless 1 to 2" or "seamless 1/2" or "seamless phase i/ii" or "seamless phase 1/2").mp. 17 29 or/1-28 3339 30 Humans/ 17835321 31 Animals/ 6430856 32 (29 and 30) not 31 2288 Limiting to studies on humans 33 limit 32 to english language 2232 English language Table S1. Cont.
  • 37. Table S4. Search strategy for ClinicalTrials.gov and ISRCTN registry Search details URL Clinicaltrials.gov "Master protocol" https://clinicaltrials.gov/ct2/results?cond=&term=%22master +protocol%22&cntry=&state=&city=&dist=&Search=Search "Basket trial" https://clinicaltrials.gov/ct2/results?cond=&term=%22basket +trial%22&cntry=&state=&city=&dist=&Search=Search "Umbrella trial" https://clinicaltrials.gov/ct2/results?cond=&term=%22Umbrel la+trial%22&cntry=&state=&city=&dist=&Search=Search "Platform trial" https://clinicaltrials.gov/ct2/results?cond=&term=%22platfor m+trial%22&cntry=&state=&city=&dist=&Search=Search Multi-arm multi-stage https://clinicaltrials.gov/ct2/results?cond=&term=Multi- arm+multi- stage&cntry=&state=&city=&dist=&Search=Search
  • 38. Table S4. Cont. Search details URL ISRCTN registry Master protocol http://www.isrctn.com/search?q=master+protocol Basket trial http://www.isrctn.com/search?q=Basket+trial Umbrella trial http://www.isrctn.com/search?q=Umbrella+trial Platform trial http://www.isrctn.com/search?q=%22platform+trial%22 Multi-arm multi-stage http://www.isrctn.com/search?q=Multi-arm+multi-stage
  • 39. • Two reviewers (JJHP and MJZ) independently reviewed all abstracts and proceedings identified in the literature searches • Full-text publications of potentially relevant abstracts were then retrieved and assessed for eligibility  Study selection:
  • 40. • Two reviewers also screened the bibliographies of published literature reviews on master protocols (JJHP and ES) and trial registries (JJHP and LD) • Discrepancies in study selection were resolved by discussion or, when necessary, by a third investigator (KT or EJM) (Process of selecting studies well stated)
  • 41. • Two investigators (JJHP and ES) independently extracted using a standardized, piloted data extraction form to record:  Study design elements  Patient characteristics  Outcomes  Trial registry  Data extraction:
  • 42.  Trial recruitment status  Phase  Randomization  Masking  Number of clinical centres  Sample size  Trial duration  Interventions
  • 43.  Control  Disease area  Age of population  Number of conventional diseases recruited  Key eligibility for stratification  Number of subgroups defined  Geographic location of the master protocols
  • 44. • Method of data extraction from reports described • Lists all variables for which data were sought • Use of manual searching of bibliographies mentioned
  • 45.  Data synthesis: • Meta-analysis was not conducted for this study • Findings of this landscape analysis was presented descriptively • Temporal trends of master protocols, geographical representation, and trial and disease characteristics of each of the three master protocols were reported (well described)
  • 47. Records identified through database searching (n=5869) Additional records identified through other sources (n=140) IDENTIFICATION Records screened (n=6009) SCREENING Records excluded (n=5370)
  • 48. Full text articles assessed for eligibility (n=639) Full text articles excluded, with reasons (n=424) • Population : 0 • Interventions : 0 • Comparators : 0 • Outcomes : 0 • Study design : 333 • Other : 91 ELIGIBILITY Included publications (n=214, 83 trials) INCLUDED Figure S1. Study flow chart
  • 49. Literature search: Master Protocol trials Identification Basket trials 49 Umbrella trials 18 Platform trials 16
  • 50. Trial ID Study ID Year Title Basket trials AcSe´ NCT02304809 2014 Phase 2 Study Assessing Secured Access to Vemurafenib for Patients With Tumors Harboring BRAF Genomic Alterations (AcSé) Ado-trastuzumab Basket trial Li 2017 2017 Ado-trastuzumab emtansine in patients with her2 mutant lung cancers: Results from a phase ii basket trial Ado-trastuzumab Basket trial Li 2018 2018 A multi-histology basket trial of adotrastuzumab emtansine in patients with her2 amplified cancers Ado-trastuzumab Basket trial NCT02675829 2016 Trial of Ado-Trastuzumab Emtansine for Patients With HER2 Amplified or Mutant Cancers AGADIR NCT03915678 2019 Atezolizumab Combined With Intratumoral G100 AnD Immunogenic Radiotherapy in Patients With Advanced Solid Tumors (AGADIR) ALCHEMIST NCT02193282 2014 Erlotinib Hydrochloride in Treating Patients With Stage IB-IIIA Non-small Cell Lung Cancer That Has Been Completely Removed by Surgery (An ALCHEMIST Treatment Trial) Table S6. List of included studies: Basket trials
  • 51. ALCHEMIST NCT02201992 2014 Crizotinib in Treating Patients With Stage IB-IIIA Non-small Cell Lung Cancer That Has Been Removed by Surgery and ALK Fusion Mutations (An ALCHEMIST Treatment Trial) ALCHEMIST NCT02595944 2015 Nivolumab After Surgery and Chemotherapy in Treating Patients With Stage IB-IIIA Non-small Cell Lung Cancer (An ALCHEMIST Treatment Trial) (ANVIL) Bardia 2019 Bardia 2018 2018 Efficacy of sacituzumab govitecan (anti-trop- 2-sn-38 antibody- drug conjugate) for treatment-refractory hormone-receptor positive (hr+)/her2- metastatic breast cancer (mbc) Trial ID Study ID Year Title Basket trials Basket of Basket NCT03767075 2018 A Modular Multi-Basket Trial to Improve Personalized Medicine in Cancer Patients (Basket of Baskets) (BoB) BeGIN NCT03872427 2019 Testing Whether Cancers With Specific Mutations Respond Better to Glutaminase Inhibitor, CB-839 HCl, Anti-Cancer Treatment, BeGIN Study BLU-667 Basket Trial Iams 2018 2018 Stop fretting the target: Next-generation ret inhibitors have arrived BLU-667 Basket Trial NCT03037385 2017 Phase 1 Study of the Highly-selective RET Inhibitor BLU-667 in Patients With Thyroid Cancer, Non-Small Cell Lung Cancer, and Other Advanced Solid Tumors Table S6. Cont.
  • 52. Table S7. List of included studies: Umbrella trials Trial ID Study ID Year Title Umbrella trial Bardia 2019 Bardia 2019 2019 Sacituzumab Govitecan-hziy in Refractory Metastatic Triple- Negative Breast Cancer. Bardia 2019 Cardillo 2015 2015 Sacituzumab Govitecan (IMMU-132), an Anti-Trop-2/SN-38 Antibody-Drug Conjugate: Characterization and Efficacy in Pancreatic, Gastric, and Other Cancers. Bardia 2019 NCT01631552 2012 Phase I/II Study of IMMU-132 in Patients With Epithelial Cancers Bardia 2019 Starodub 2015 2015 First-in-Human Trial of a Novel Anti-Trop-2 Antibody-SN-38 Conjugate, Sacituzumab Govitecan, for the Treatment of Diverse Metastatic Solid Tumors. BATTLE Kim 2011 2011 The BATTLE Trial: Personalizing Therapy for Lung Cancer BATTLE NCT00409968 2006 BATTLE Program: Umbrella Protocol for Patients With Non-Small Cell Lung Cancer (NSCLC) BATTLE NCT00410059 2006 BATTLE Program: Erlotinib in Previously Treated Subjects With Advanced NSCLC BATTLE NCT00410189 2006 BATTLE Program: Erlotinib in Previously Treated Subjects With Advanced NSCLC BATTLE NCT00411632 2006 BATTLE Program: Tarceva and Targretin in Patients With Advanced Non-Small Cell Lung Cancer (NSCLC)
  • 53. Table S8. List of included studies: Platform trials Trial ID Study ID Year Title Platform trials ALIC4E Butler 2018 2018 A trial like alic4e: Why design a platform, response-adaptive, open, randomised controlled trial of antivirals for influenza-like illness? ALIC4E ISRCTN27908921 2015 Antivirals for influenza-like illness? Are they effective? CREATE NCT01524926 2012 CREATE: Cross-tumoral Phase 2 With Crizotinib (CREATE) CREATE Peron 2019 2019 A multinational, multi-tumour basket study in very rare cancer types: The european organization for research and treatment of cancer phase ii 90101 'create' trial CREATE Schoffski 2017 2017 Activity and safety of crizotinib in patients with advanced clear-cell sarcoma with MET alterations: European Organization for Research and Treatment of Cancer phase II trial 90101 ‘CREATE’ CREATE Schoffski 2018 2018 Crizotinib in patients with advanced, inoperable inflammatory myofibroblastic tumours with and without anaplastic lymphoma kinase gene alterations (European Organisation for Research and Treatment of Cancer 90101 CREATE): a multicentre, single-drug, prospective, non- randomised phase 2 trial. CREATE Schoffski 2018B 2018 Activity and safety of crizotinib in patients with alveolar soft part sarcoma with rearrangement of TFE3: European Organization for Research and Treatment of Cancer (EORTC) phase II trial 90101 ‘CREATE’
  • 54. Fig. 2 Trends of master protocols over time. This figure illustrates the accumulating number of basket (white), umbrella (gray), and platform (black) trials over time. Basket trial (B2225) Platform trial (STAMPEDE)
  • 55. Ongoing trials No. Master protocol 68 Basket trials 39 Umbrella trials 17 Platform trials 12 11/ 8/ 4/ 09/
  • 56. Trial characteristics Basket trial (n=49) Umbrella trial (n=18) Platform trial (n=16) Drug investigation 48 18 16 Phase I/II (47) I/II (16) III (7/15) Open label 46 16/18 12/14 Randomization 5 8 15 Sample size (median, IQR) 205, 410 346, 313 892, 1580 Study duration (months) (median, IQR) 22.3, 31.1 60.9, 34.4 58.9, 64.4 Trial characteristics of master protocols
  • 57. Master protocol ID Registry Trial status Ph ase Rando -mized (Y/N) Masking Total N Proposed trial duration (mo) Interv- ention types No of interv en- tion Contro l: Y/N Basket trials AcSe´ NCT02304809 Recruiting II No Open label 500 90.9 Drugs 1 No Ado- trastuzumab Basket trial NCT02675829 Recruiting IIA No Open label 100 35.9 Drugs 1 No AGADIR NCT03915678 Not yet recruiting II No Open label 247 47.9 Drugs 1 No ALCHEMIST NCT02201992; NCT02193282; NCT02595944 Recruiting III Yes Open label 1542 118.8 Drugs 3 Yes Bardia 2019 NCT01631552 Active, not recruiting I/II No Open label 500 81.8 Drugs 1 No Basket of Basket NCT03767075 Recruiting II No Open label 1000 4.0 Drugs 1 No BeGIN NCT03872427 Not yet recruiting II No Open label 108 20.0 Drugs 1 No Table S9. Trial characteristics of master protocols
  • 58. Master protocol ID Registry Trial status Ph ase Rando -mized (Y/N) Masking Total N Proposed trial duration (mo) Interv- ention types No of interv en- tion Contro l: Y/N Umbrella trials BATTLE-1 NCT00409968 Active, not recruiting (results published) II Yes Open label 250 167.7 Drugs 4 No BATTLE-2 NCT01248247 Active, not recruiting (results published) II Yes Open label 334 95.8 Drugs 4 No CheckMate 370 NCT02574078 Active, not recruiting I/II Yes Open label 342 41.3 Drugs 5 Yes FOCUS4 ISRCTN90061 546 Completed/ published II/ III Yes Double blind 384 58.8 Drugs 5 Yes FUTURE NCT03805399 Recruiting Ib/I I No Open label 140 46.9 Drugs 7 No Genomics Enabled Medicine for Melanoma NCT02094872 Active, not recruiting II Yes Open label 47 46.9 Drugs 19 Yes LUNG-MAP NCT02154490 Recruiting II/ III Yes Open label 10000 93.8 Drugs 5 Yes Table S9. Cont.
  • 59. Master protocol ID Registry Trial status Ph ase Rando -mized (Y/N) Masking Total N Proposed trial duration (mo) Interv- ention types No of interv en- tion Contro l: Y/N Platform trials ALIC4E ISRCTN279089 21 Completed "N A" Yes Open label 675 39.0 Drugs NR Yes EBOLA NCT02380625 Terminated II Yes Open label 150 35.9 Drugs 3 Yes FRACTION NCT02935634; NCT02750514; NCT02996110 Recruiting II Yes Open label 1004 68.3 Drugs 5+ Yes GBM AGILE NR Recruiting II/ III Yes NR NR -- Drugs NR Yes I-SPY2 NCT01042379 Recruiting/pub lished II Yes Open label 1920 128.8 Drugs 18 Yes INSIGhT NCT02977780 Recruiting II Yes Open label 280 50.8 Drugs 3 Yes LEAP NCT03092674 Suspended (Unscheduled safety data review) II/ III Yes Open label 1670 67.8 Drugs 4+ Yes Table S9. Cont.
  • 60. Umbrella trial Platform trial Basket trial Fig. 3 Sample size distribution of master protocols Abbreviation: IQR interquartile range Median: 346 IQR: 565-252 = 313 Median: 892 IQR: 1835- 255 = 1580 Median: 205 IQR: 500-90 = 410
  • 61. Disease characteristics of master protocols • Most studies were in adult populations (n = 69/83) • Nearly all were in the field of oncology (n = 76/83)
  • 62. Master protocol ID Disease area Type of population Age eligibility (yr) Number of diseases Key eligibility criteria for stratification Number of subgroups Basket trials AcSe´ Oncology Adults ≥18 11+ Biomarkers 11 Ado-trastuzumab Basket trial Oncology Adults ≥18 4+ Biomarkers 4 AGADIR Oncology Adults ≥18 6 Tumour type 6 ALCHEMIST Oncology Adults ≥18 1 Biomarkers and treatment history 3 Bardia 2019 Oncology Adults ≥18 16 Biomarker 16+ Basket of Basket Oncology Adults ≥18 2+ Biomarkers 6 BeGIN Oncology Mixed ≥18 4+ Biomarkers 4+ BLU-667 Basket Trial Oncology Adults ≥18 4+ Biomarkers and treatment history 6 Table S10. Disease characteristics of master protocols
  • 63. Master protocol ID Disease area Type of population Age eligibility Number of diseases Key eligibility criteria for stratification Number of subgroups Basket trials CLUSTER Hereditary Periodic Fevers Mixed 1mo or older 3 Disease type 3 TNT0009 Basket Trial Complement -Mediated Disorders Adults 18yr or older 4 Biomarkers 3
  • 64. Master protocol ID Disease area Type of population Age eligibility Number of diseases Key eligibility criteria for stratification Number of subgroups Umbrella trials BATTLE-1 Oncology Adults ≥18 1 Biomarkers and tumour type 4 BATTLE-2 Oncology Adults ≥18 1 Biomarkers and tumour type NR CheckMate 370 Oncology Adults ≥18 1 Biomarkers NR FOCUS4 Oncology Adults ≥18 1 Biomarkers and tumour type 5 FUTURE Oncology Adults ≥18 1 Biomarkers 4 Genomics Enabled Medicine for Melanoma Oncology Adults ≥18 1 Biomarkers 19 LUNG-MAP Oncology Adults ≥18 1 Biomarkers and tumour type 5 BATTLE-1 Oncology Adults ≥18 1 Biomarkers and tumour type 4 Table S10. Cont.
  • 65. Master protocol ID Disease area Type of population Age eligibility Number of diseases Key eligibility criteria for stratification Number of subgroups Platform trials ALIC4E Influenza Mixed At least 1yr 1 Disease type and risk factors NR EBOLA Ebola Mixed 6mo or older 1 Disease type NR FRACTION Oncology Adults 18 yrs or older 3 Biomarkers 12 GBM AGILE Oncology NR NR 1 Biomarkers and tumour type 6 I-SPY2 Oncology Adults 18yr or older 1 Biomarkers and tumour type 3 INSIGhT Oncology Adults 18yr or older 1 Biomarkers and tumour type 4 LEAP Oncology Adults (older) 60yr or older 1 Biomarkers NR ALIC4E Influenza Mixed At least 1yr 1 Disease type and risk factors NR Table S10. Cont.
  • 66. Master protocol ID Disease area Type of popula -tion Age eligibi -lity Number of diseases Key eligibility criteria for stratification Number of sub- groups Platform trials ALIC4E Influenza Mixed At least 1yr 1 Disease type and risk factors NR EBOLA Ebola Mixed 6mo or older 1 Disease type NR REMAP-CAP Pneumonia Adults 18yr or older 1 NR NR UPMC REMAP Surgery Adults 18 yrs or older 1 NR NR The DIAN-TU platform Alzheimer's Adults 18-80yr 3 Biomarkers NR
  • 67. Geographic representation of master protocols Fig 4. Geographical representation of master protocols. This figure illustrates the accumulating number of basket (white), umbrella (gray), and platform (black) trials over time n=44/83 FUTURE, GBM AGILE, TRUMP AND VE BASKET
  • 68. Table S11. Geographic location of master protocols Master protocol ID N of centers involved LMICs involved Countries Basket trials AcSe´ NR No France Ado-trastuzumab Basket trial 1 No US AGADIR 10 No France ALCHEMIST 1349 No US Bardia 2019 12 No US Basket of Basket 3 No France, Spain, and UK BeGIN 1 No US
  • 69. Table S11. Cont. Master protocol ID N of centers involved LMICs involved Countries Umbrella trials BATTLE-1 1 No US BATTLE-2 2 No US CheckMate 370 133 No US FOCUS4 18 No UK FUTURE 1 Yes (China) China Genomics Enabled Medicine for Melanoma 8 No US LUNG-MAP 1004 No US, Canada
  • 70. Table S11. Cont. Master protocol ID N of centers involved LMICs involved Countries Platform trials ALIC4E 39 No Belgium, Croatia, Czech Republic, Denmark, France, Greece, Hungary, Ireland, Lithuania, Netherlands, Norway, Poland, Spain, Sweden, Switzerland, United Kingdom EBOLA NR Yes (West Africa) Guinea, Sierra Leone, Liberia FRACTION 50 No US, Australia, Austria, Canada, France, Italy, Spain, Switzerland GBM AGILE NR Yes (China) US, Australia, China I-SPY2 24 No US INSIGhT 10 No US LEAP 508 No US
  • 71. • In line with objectives • PRISMA flow diagram given • Tables are self-explanatory • Footnotes are given • Fig 4. labelling is not proper
  • 72. To their knowledge, this is the first landscape analysis of master protocols STRENGTH
  • 73. LIMITATION Variability of terminology and lack of standardized nomenclatures and indexing of master protocols in the medical databases
  • 74. CONCLUSIONS • Number of master protocols, especially in the last five years, has increased dramatically and is anticipated to continue over the coming years • Master protocols, particularly platform trials, have the potential to improve the efficiency across the broad spectrum of clinical trial research (In line with objective and derived from study results)
  • 75. RECOMMENDATIONS • Improved approach to standardized nomenclature and database indexing is essential to improve the identification and retrieval of these study designs • Efforts are needed to improve the awareness and technical expertise of master protocols to investigators in fields outside of oncology and in geographic regions outside of high-income countries (Derived from conclusion, specific and doable)
  • 76. FUNDING: This study was not funded DECLARATION OF INTERESTS: Authors declare that they have no competing interests ETHICS APPROVAL: Not applicable
  • 77. What did I learn? • Adaptive designs • Master protocol  Basket trial  Platform trial  Umbrella trial
  • 79. COVID-19 Trials ACTIV ( Accelerating COVID-19 Therapeutic Interventions and Vaccines ) REMAP-CAP REMAP-COVID AGILE-ACCORD (ACcelerating COVID-19 dRug Development) PRINCIPLE ( Platform Randomised trial of INtervention against COVID-19 In older peoPLE) SOLIDARITY

Editor's Notes

  1. A clinical trial design that offers pre-planned opportunities to use accumulating trial data to modify aspects of an ongoing trial while preserving the validity and integrity of that trial (ACE steering committee) .They add a review–adapt loop to the linear design–conduct–analysis sequence The purpose is to make clinical trials more flexible, efficient and fast. Due to the level of flexibility involved, these trial designs are also termed as “flexible designs.” Flexibility here does not mean that the trial can be modified any time at will. The modification and adaptations have to be pre-planned and should be based on data collected from the study itself. Not all changes in the design after study initiation are considered adaptive design. The FDA defines some types of changes as reactive revisions. A reactive revision is a change that was made due to unplanned findings during an interim analysis or revisions based on information that is received from a source external the study. Thus, it is imperative to consider the possible outcomes for each interim analysis when planning the protocol and to write out, as thoroughly as we can, the next steps that will be taken for each of the outcomes. If the revisions to a study design are not incorporated into the protocol at the outset, reactive revision could invalidate a study.  Interim analysis—A statistical analysis or review of accumulating data from an ongoing trial (interim data) to inform trial adaptations (before the final analysis), which may or may not involve treatment group comparisons
  2. Frequentist inference is a type of statistical inference that draws conclusions from sample data by emphasizing the frequency or proportion of the data. Bayesian analysis based on bayseian Interpretation of probability which is based on element of belief. Bayes theorem based on conditional probability.
  3. in which the clinical trial infrastructure is created to test a single treatment in a homogeneous population. There has been increasing interest in efficient trial Strategies designed to evaluate multiple treatments and combinations of treatments, in heterogeneous patient populations, with the capability to add new treatments in the future and eliminate investigational treatments lacking efficacy Precision medicine (PM) is a medical model that proposes the customization of healthcare, with medical decisions, treatments, practices, or products being tailored to a subgroup of patients, instead of a one‐drug‐fits‐all model. In precision medicine, diagnostic testing is often employed for selecting appropriate and optimal therapies based on the context of a patient’s genetic content or other molecular or cellular analysis Effective treatments for such diseases (sepsis, alzheimers, demetia, stroke) will likely require combining treatments to affect multiple targets in complex cellular pathways and, perhaps, tailoring treatments to subgroups defined by genetic, proteomic, metabolomic, or other markers.
  4. All constitute a collection of trials or substudies that share key design components and operational aspects to achieve better coordination than can be achieved in single trials designed and conducted independently The ability to use a single infrastructure, trial design, and protocol to simultaneously evaluate multiple drugs and/or disease populations in multiple substudies speeds up drug development and makes it more efficient Thus , mp is a unifying design that includes multiple subgrps or sub studies, with pts having same or diff ds and that employ one or multiple drugs to treat it. Mp facilitates screening and pt accrual. Saves time by 18% (117 weeks – 96-102 weeks) Saves cost (12-15%) (dollar 11.2M --- 9.5M)
  5. A MP DESIGNED to test a single ind or combo in diff pop defined by disease stage, or histology, genetic or other biomarkers Usually early phase, single-arm sub-studies Design: often single stage or Simon two-stage with futility stopping Usually 20-30 patients per “basket” or molecular sub-study  Could drugs that target specific gene alterations cause responses across a wide variety of diseases? Could drugs work based on genomics rather than the site of origin of the cancer?  Studies rare types (broad eligib crit), smaller sample size req, when tt already approved for one tumor type – it can be extrapolated to diff tumor immediately PIC 2: Unlike traditional clinical trials which focus on patients with a single cancer histology, the core organizing principle of basket trials is concentrated on a specific genomic alteration found in the tumor, regardless of where the cancer originated. A basket trial tests the effect of one drug (Drug A/B/C) that targets the same genomic alteration (Mutation A/B/C) across a variety of tumor types.
  6. HYMAN ET AL: A total of 120 patients with refractory cancer who harbored BRAF mutation received vemurafenib. In NSCLC patients after multiple-line therapy, the ORRs were 42% with a disease control rate (DCR) of 84%. This rate compares favorably with the 7% ORR reported for standard second-line docetaxel in molecularly unselected patients. The DCR was 62% in a cholangiocarcinoma cohort, which was also better than second-line chemotherapy (49.5%).  study demonstrated that histology-independent, biomarker-selected basket studies are feasible and can serve as tools for developing molecular-targeted cancer therapies Erdheim-Chester disease or LCH had significant clinical benefits from vemurafenib . Thus, this basket trial established a standard of care for these rare cancers with BRAF mutation. 
  7. A protocol with more than one targeted therapy studied for a single disease.  Patients are divided into multiple parallel treatment arms, receiving different drugs or drug combinations. Such studies usually include a control arm. Umbrella design studies may include multiple doses of the same drug for dose-finding purposes
  8. Lung-MAP is a Phase 2/3 umbrella trial enrolling patients with advanced LUSC June 2014, Lung-MAP originally had four biomarker-driven substudies and one nonmatch substudy Patients with genomic alterations that qualify for multiple substudies are assigned to treatment based on a weighted-randomization algorithm that gives preference to molecular targets of lowest prevalence.   If no actionable marker was detected, they were enrolled to the non-match sub-trial, allowing all eligible patients to be treated Since June 16, 2017 all of these five original sub-studies have been closed . March 2015: FDA approved nivolumab in same patient population (SOC) Oct 2017: 1,400 patients registered As of June 2018, over 1700 patients have been accrued to the screening component. Nine substudies have activated; the original 5 are completed/closed and 4 are currently accruing. Completed studies evaluated taselisib for phosphoinositide 3-kinase mutations, palbociclib for cell-cycle gene alterations, AZD4547 for fibroblast growth factor receptor alterations, rilotumumab and erlotinib for c-MET+ tumors, and durvalumab. The results to date demonstrate the feasibility of the Lung-MAP trial platform and the ability to simultaneously accrue and evaluate therapies in rare prevalence patient populations. currently, four new sub-studies (S1400F, S1400G, S1400I and S1400K) are a part of the Lung-MAP trial and are open for accrual
  9. Instead of “intervention-focused” designs, platform trials are more “disease-focused” because they allow for more efficient evaluation of multiple interventions in a perpetual manner  Because there are usually multiple candidates in a given research area, intervention-focused approaches can result in multiple, independent trials being conducted with redundant infrastructures being created for shorter-term evaluation and the larger number of patients being randomized to standard of care or placebo  Multiarm CT: If a therapeutic discovery is made after a clinical trial begins, regardless of whether they are two-arm or multiarm studies, a new trial may be needed to determine its efficacy CHALLENGES: POP DRIFT, BLINDING?, TYPE 1 ERROR, RESOURCES
  10. (Investigation of Serial Studies to Predict Your Therapeutic Response With Imaging And moLecular Analysis 2 I-SPY 2 is a clinical trial for women with newly diagnosed locally advanced breast cancer [8].  regimens that show a high Bayesian predictive probability of being more effective than standard therapy will graduate from the trial with their corresponding biomarker signature RCB: RESIDUAL CANCER BURDEN / PCR: PATHOLOGIC COMPLETE RESPONSE (tumour disappeared completely)  If predictive probabilities for an experimental agent reach a pre-determined level of efficacy in one or more molecular subtypes, it is declared a success (“graduates”) Based on the participant's tumor subtype, outcome and treatment received, the predictive probabilities of the agent in the various subtypes are updated in real time. I-SPY 2’s adaptive randomization engine assigns a participant to a study arm; it gives greater weight to arms that have been successful in the participant's tumor subtype.
  11. The defining characteristic of all ADs is that results from interim data analyses are used to modify the ongoing trial, without undermining its integrity or validity
  12. smooth and continuous, with no apparent gaps or spaces between one part and the next. fundamentally better answers about how the safety and effectiveness of new products can be demonstrated, n in faster time frames, n with more certainty, n and at lower costs” Operationally: faster …. (by cutting out the ‘white space’ between Ph II and Ph III, using the same operational infrastructure ) Ineferentially: lower cost Since we can combine Phase 2 and Phase 3 data in an adaptive seamless design, we can use data from the Phase 2 trial to inform Phase 3: More efficiently use patient data to infer strong conclusions Reduce the number of patients who must be enrolled at Phase 3, thus saving time and money Improve selection of target doses and participants in Phase 3 Investigate possible covariates between short-term endpoints derived from Phase 2 and long-term clinical outcomes in Phase 3 Continue to follow patients on terminated treatment groups from Phase 2 throughout Phase 3, providing more information on time effects of treatment as well as safety Change or cut treatments during the study, resulting in patients having a greater chance of receiving safe and efficacious treatment.
  13. Validity: TUMORAL HETEROGENETY (bias) Power: sample size not reached? Resources: apt infrastructure, money? Consents. Informed consent documents used in novel clinical trials are often overly cumbersome and confusing for both patients and investigators in large part because the trials themselves are so complicated and difficult to explain
  14. through standardization of procedures in the development and evaluation of different interventions
  15. to include standardized trial operational structures, patient recruitment and selection, data collection, analysis, and management
  16. The second part is the aim of the study
  17. Protocol articles will only be considered for proposed or ongoing research that has not yet started the final data extraction stage of the review at the time of submission, and should provide a detailed account of the hypothesis, rationale and methodology of the study. Systematic Reviews requires the submission of a populated PRISMA-P checklist for all study protocols. Systematic Reviews encourages prospective registration of systematic reviews in PROSPERO or Open Science Framework and encourages registration of scoping and other types of review in other relevant registration platforms.
  18. THAT HAVE BEEN PROPOSED, ONGOING, ALREADY CONDUCTED
  19. In umbrella trials, the single disease study population is stratified into multiple subgroups on predictive biomarkers or other characteristics or both
  20. , but the MAMS designs that do not allow flexibility of adding new arms during the trial are not truly platform trials
  21. MEDLINE: MEDLARS ONLINE( medical literature analysis and retrieval system online):1946: mesh [pubmed:1996] EMBASE : EXCERPTA MEDICA DATABASE : 1947 [EMTREE]-ELSEVIER-NETHERLANDS COCHRANE :UK, 1993 International Standard Randomised Controlled Trial Number: IS A numeric system for the identification of RCTS worldwide. Simplifies identification of trials and provides a unique no. used to track all publications and reports resulting from each trial. Recognized by who and ICMJE
  22. EXECUTED ON JULY 8TH , 2019
  23. EMBASE: 1343 CENTRAL: 361
  24. MP: 52 BASKET: 34 Umbrella:18 PLATFORM:24 MAMS: 11
  25. MP: 49 BASKET: 19 UMBRELLA: 22 PLATFORM: 7 MAMS: 13
  26. JJHP: JAY.J.H.PARK MJZ: MICHAEL J ZORATTI.
  27. WHICH FORM NOT MENTIONED?
  28. Discrepancies were resolved by discussion.
  29. Conventional: based on or in accordance with what is generally done or believed
  30. Other sources: hand searches of bibliographies and trial registries Screening criteria?
  31. Thirty-four trials were available only through trial registries, and three trials were in the pre-recruitment phase (NCT03339843, NCT03915678, and NCT03872427)
  32. The first master protocol conducted was a basket trial called the Imatinib Target Exploration Consortium Study B2225 which started in 2001. This was followed by the platform trial STAMPEDE, which was first proposed in 2005 for advanced prostate cancer. Results have been published , 2017
  33. NCT03003195 was the exception as a proposed vaccine basket trial
  34. UMBRELLA TRIALS HAVE NARROW IQR COMPARED TO OTHER TWO (MORE DISPERESED) SAMPLE SIZE DIST IS DIFF IN ALL THREE TRIALS OUTLIERS IN UMB Umb req larger sample size compared to basket coz they are confirmatory whereas basket exploratory (less sample size)
  35. Two basket trials conducted outside oncology The hereditary periodic fever syndromes are autoinflammatory diseases that mostly present in childhood and are characterized by recurrent, self-limiting, seemingly unprovoked episodes of fever and systemic inflammation that occur in the absence of autoantibody production or identifiable infection. CLUSTER: 2017
  36. UPMC: univ of Pittsburgh medical centre Remap: random, embedded, multifactorial adaptive platform trial Antivirals for influenza-Like Illness? An rCt of Clinical and Cost effectiveness in primary CarE (ALIC4E) Dominantly Inherited Alzheimer Network Trials Unit (DIAN-TU) trial
  37. OUT OF 83 , 44 studies have been conducted in US Other high-income countries such as the UK (n = 25), France (n = 23), Spain (n = 17), and Canada (n = 13) were the next most common countries. There were no master protocols observed from low-income countries, although the EBOLA (NCT02380625) trial had been proposed for Guinea, Sierra Leone, and Liberia Two upper-middle-income countries, Brazil and Mexico, were involved in the DIAN-TU platform trial (NCT0760005), but these countries accounted for only three of 36 study sites China, an upper-middle-income country, has centers participating in GBM AGILE : ADAPTIVE GLOBAL INNOVATIVE LEARNING ENV FOR GLIOBLASTOMA
  38. this was offset by our rigorous approach that had strong supplemental searching strategies inclusive of several search terms on adaptive trial designs.
  39. Coz in this article no studies represent developing countries It is a general statement
  40. Mixing of diff types of control will affect the comparability Low adherence to treatment may introduce bias coz those who left may have more depression, anxiety etc  National Health and Medical Research Council (NHMRC) is Australia's peak funding body for medical research, Excluded those without internet access
  41. Who’s mast ct protocol could speed up development of covid therapies (4th mar) Fda has stated from the ebola outbreak lessons: the feasibility and desirability to meet the demands of emerging public health crises, rare ds, cancer subtypes
  42. On April 17, 2020 the National Institutes of Health (NIH) announced the Accelerating COVID-19 Therapeutic Interventions and Vaccines (ACTIV) public-private partnership to develop a coordinated research strategy for prioritizing and speeding development of the most promising treatments and vaccines. ACTIV brings NIH together with its sibling agencies in the Department of Health and Human Services, including the Biomedical Advanced Research and Development Authority (BARDA), Centers for Disease Control and Prevention (CDC), and the U.S. Food and Drug Administration (FDA); other government agencies including the Department of Defense (DOD) and Department of Veterans Affairs (VA); the European Medicines Agency (EMA); and representatives from academia, philanthropic organizations, and numerous biopharmaceutical companies Develop a collaborative, streamlined forum to identify preclinical treatments. Establishing a steering committee with relevant expertise to set criteria for and rank potential candidates submitted by industry partners for testing Designing, launching, and openly sharing master protocols with agreed-upon endpoints, sampling, and analysis for evaluating candidates Specializing in different populations and disease stages Leveraging infrastructure and expertise from across NIH and non-NIH networks and clinical research organizations Using a single control arm to enhance trial efficiency