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Clinical Conference 2017
Non commercial clinical studies: their
contribution and the main barriers in
their implementation
Giota Touloumi
Professor of Biostatistics and Epidemiology
Dept. Hygiene, Epidemiology & Medical Statistics
Medical School
National and Kapodistrian University of Athens (NKUA)
gtouloum@med.uoa.grDept. Hygiene, Epidemiology & Medical Statistics
Medical School, NKUA
Substantial contribution of non-
commercial or academic clinical
research
Dept. Hygiene, Epidemiology & Medical Statistics
Medical School, NKUA
Main Barriers
Dept. Hygiene, Epidemiology & Medical Statistics
Medical School, NKUA
Main Barriers
Dept. Hygiene, Epidemiology & Medical Statistics
Medical School, NKUA
 Luck of funding
 Increased costs (large-scale Clinical Trials)
 Insurance coverage
 Based on risk assessment
 Excessive Monitoring (ICH-GCP)
 FDA-EMA: risk based approach
 Complex and time costly regulatory requirements
 Harmonization and simplification
 Inadequate Infrastructure
 Background data
Registries, Health surveys, epidemiological studies

International Network for Strategic
Initiatives in Global HIV Trials
To develop strategies for the optimization of
treatment -- ART, immunomodulatory therapies,
and interventions to prevent and treat the
complications of HIV and ART – in order to
prolong disease-free survival in an
demographically, socio-economically, and
geographically diverse group of individuals with
HIV.
Strategies for Management of
Antiretroviral Therapy (SMART) Study
SMART study group. CD4+ count-guided interruption of antiretroviral therapy.
N Engl J Med 2006; 355:2283-96
Countries Participating in SMART
CPCRA
RCC
Brazil
Canada
Peru
South Africa
United States
Sydney
RCC
Argentina
Australia
Chile
Israel
Japan
New Zealand
Thailand
Uruguay
Copenhagen
RCC
Austria
Belgium
Denmark
Estonia
Finland
Germany
Lithuania
Luxembourg
Norway
Poland
Portugal
Russia
Spain
London
RCC
France
Greece
Ireland
Italy
Morocco
Switzerland
United Kingdom
SMART Study Design
Drug Conservation
(DC) Strategy
[Stop or defer ART until CD4+
< 250; then episodic ART
based on CD4+ cell count to
increase counts to > 350]
Virologic Suppression
(VS) Strategy
[Use ART to maintain viral
load as low as possible
throughout follow-up]
Participants with CD4+ > 350
n = 3000 n = 3000
Expected follow-up period: 7-8 years
Conclusion
Episodic use of ART based on CD4+ cell
count levels as per the SMART study
design is inferior to continuous ART for
the management of treatment experienced
patients and thus should not be routinely
recommended
Unexpected results in SMART led
to a new way of thinking about
non-AIDS events. The findings
from SMART motivate START
START design
HIV-infected individuals who are ART-naïve with
CD4+ count > 500 cells/mm3
Early ART Group
Initiate ART immediately
following randomization
N=450 in pilot phase and
estimated as N=2,000 for
definitive trial
Deferred ART Group
Defer ART until the CD4+ count
declines to < 350 cells/mm3 or
AIDS develops
N=450 in pilot phase and
estimated as N=2,000 for
definitive trial
Interin analysis results
START
Conclusion
cART should be offered to all individuals
diagnosed with HIV, irrespectively of the
CD4 cell count
NEJM 2015; 373: 795-807
START: Greek participation
 Approval: 10/2009
 Clinics: 6
 No of patients: 102
 Total money received so far: >1,500,000 euros
 Free cART for 8 years
Barriers in initiating and
implementing START (NOM)
 Patient’s Insurance
 total coverage: 60*200,000=12,000,000
Risk assessment
 Complex procedures
 Simplification, harmonization
 Time
1-2 months the approval letters to arrive
Barriers in initiating and
implementing START (SARGs)
 Hospitals’ Scientific council
 for years didn’t exist
 fees
 Contracts
Between Universities and clinics
 3-6 months
 University’s SARGS
 >2 months for the NOM fees
 >3 months to employ personnel
 Difficult to keep the trained personnel
 3-6 months to pay clinics
Background data
 Registries
Rare diseases? Cancer?
 Health Surveys
Hprolipsis
(prolipsis=prevention)
Health Examination Survey
(questionnaires and collection of biological samples)
General population
N=6,000
Roma
N=500
Migrants
N=600
Field survey:
3/2014 - 6/2016
Funded by EU structural funds and by National funds
Estimated Prevalence
General
population
Migrants Roma
HBsAg +
95% CI
1.74%
1.36-2.23
7.3%
5.35-9.96
7.5%
5.50-10.07
Anti-HCV +
95% CI
0.83%
0.57-1.19
3.0%
1.80-4.88
1.34%
0.64-2.79
EMENO preliminary results
Estimated
Prevalence
95% CI
Hypertension 38.3 36.8-39.8
Diabetes 10.6 9.7-11.5
Smoking 37.8 36.4 – 39.2
Dyslipidemia 44.7 43.1-46.4
Obesity 30.4 29,1-31.6
Background data
 Registries
Rare diseases? Cancer?
 Health Surveys
Luck of funding
 Epidemiological studies
Cascade of care in HIV + individuals
in Greece at the end 0f 2013
14147
[VALUE] (78.4%)
[VALUE] (67.5%)
[VALUE] (52.9%) [VALUE] (52.5%)
[VALUE] (43.4%)
[VALUE] (38.5%)
0
2000
4000
6000
8000
10000
12000
14000
16000
PLHIV Diagnosed Linked Ever Treated Retained on care On trt Suppressed
(200cps/ml)
78.4%
78.5%
77.9%
64.3%
57.1%
86.0%
AMACS: Athens Multicenter AIDS Cohort Study
Initiated: 1996; patients: >9,000
Conclusions
 There is potential for increase in the number
of non commercial clinical studies BUT
 simplification of regulatory procedures
 effective ways to reduce cost
 Reduce hospitals and Universities
bureaucracy; simplification; more effective
management
 Funding
 for non-commercial studies
 for epidemiological studies offering useful
public health data but also background data
for RCTs
Thank you

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Γιώτα Τουλούμη, 6th Clinical Research Conference

  • 1. Clinical Conference 2017 Non commercial clinical studies: their contribution and the main barriers in their implementation Giota Touloumi Professor of Biostatistics and Epidemiology Dept. Hygiene, Epidemiology & Medical Statistics Medical School National and Kapodistrian University of Athens (NKUA) gtouloum@med.uoa.grDept. Hygiene, Epidemiology & Medical Statistics Medical School, NKUA
  • 2. Substantial contribution of non- commercial or academic clinical research Dept. Hygiene, Epidemiology & Medical Statistics Medical School, NKUA
  • 3. Main Barriers Dept. Hygiene, Epidemiology & Medical Statistics Medical School, NKUA
  • 4. Main Barriers Dept. Hygiene, Epidemiology & Medical Statistics Medical School, NKUA  Luck of funding  Increased costs (large-scale Clinical Trials)  Insurance coverage  Based on risk assessment  Excessive Monitoring (ICH-GCP)  FDA-EMA: risk based approach  Complex and time costly regulatory requirements  Harmonization and simplification  Inadequate Infrastructure  Background data Registries, Health surveys, epidemiological studies 
  • 5. International Network for Strategic Initiatives in Global HIV Trials To develop strategies for the optimization of treatment -- ART, immunomodulatory therapies, and interventions to prevent and treat the complications of HIV and ART – in order to prolong disease-free survival in an demographically, socio-economically, and geographically diverse group of individuals with HIV.
  • 6. Strategies for Management of Antiretroviral Therapy (SMART) Study SMART study group. CD4+ count-guided interruption of antiretroviral therapy. N Engl J Med 2006; 355:2283-96
  • 7. Countries Participating in SMART CPCRA RCC Brazil Canada Peru South Africa United States Sydney RCC Argentina Australia Chile Israel Japan New Zealand Thailand Uruguay Copenhagen RCC Austria Belgium Denmark Estonia Finland Germany Lithuania Luxembourg Norway Poland Portugal Russia Spain London RCC France Greece Ireland Italy Morocco Switzerland United Kingdom
  • 8. SMART Study Design Drug Conservation (DC) Strategy [Stop or defer ART until CD4+ < 250; then episodic ART based on CD4+ cell count to increase counts to > 350] Virologic Suppression (VS) Strategy [Use ART to maintain viral load as low as possible throughout follow-up] Participants with CD4+ > 350 n = 3000 n = 3000 Expected follow-up period: 7-8 years
  • 9. Conclusion Episodic use of ART based on CD4+ cell count levels as per the SMART study design is inferior to continuous ART for the management of treatment experienced patients and thus should not be routinely recommended
  • 10. Unexpected results in SMART led to a new way of thinking about non-AIDS events. The findings from SMART motivate START
  • 11. START design HIV-infected individuals who are ART-naïve with CD4+ count > 500 cells/mm3 Early ART Group Initiate ART immediately following randomization N=450 in pilot phase and estimated as N=2,000 for definitive trial Deferred ART Group Defer ART until the CD4+ count declines to < 350 cells/mm3 or AIDS develops N=450 in pilot phase and estimated as N=2,000 for definitive trial
  • 12. Interin analysis results START Conclusion cART should be offered to all individuals diagnosed with HIV, irrespectively of the CD4 cell count NEJM 2015; 373: 795-807
  • 13. START: Greek participation  Approval: 10/2009  Clinics: 6  No of patients: 102  Total money received so far: >1,500,000 euros  Free cART for 8 years
  • 14. Barriers in initiating and implementing START (NOM)  Patient’s Insurance  total coverage: 60*200,000=12,000,000 Risk assessment  Complex procedures  Simplification, harmonization  Time 1-2 months the approval letters to arrive
  • 15. Barriers in initiating and implementing START (SARGs)  Hospitals’ Scientific council  for years didn’t exist  fees  Contracts Between Universities and clinics  3-6 months  University’s SARGS  >2 months for the NOM fees  >3 months to employ personnel  Difficult to keep the trained personnel  3-6 months to pay clinics
  • 16. Background data  Registries Rare diseases? Cancer?  Health Surveys
  • 17. Hprolipsis (prolipsis=prevention) Health Examination Survey (questionnaires and collection of biological samples) General population N=6,000 Roma N=500 Migrants N=600 Field survey: 3/2014 - 6/2016 Funded by EU structural funds and by National funds
  • 18. Estimated Prevalence General population Migrants Roma HBsAg + 95% CI 1.74% 1.36-2.23 7.3% 5.35-9.96 7.5% 5.50-10.07 Anti-HCV + 95% CI 0.83% 0.57-1.19 3.0% 1.80-4.88 1.34% 0.64-2.79
  • 19. EMENO preliminary results Estimated Prevalence 95% CI Hypertension 38.3 36.8-39.8 Diabetes 10.6 9.7-11.5 Smoking 37.8 36.4 – 39.2 Dyslipidemia 44.7 43.1-46.4 Obesity 30.4 29,1-31.6
  • 20. Background data  Registries Rare diseases? Cancer?  Health Surveys Luck of funding  Epidemiological studies
  • 21. Cascade of care in HIV + individuals in Greece at the end 0f 2013 14147 [VALUE] (78.4%) [VALUE] (67.5%) [VALUE] (52.9%) [VALUE] (52.5%) [VALUE] (43.4%) [VALUE] (38.5%) 0 2000 4000 6000 8000 10000 12000 14000 16000 PLHIV Diagnosed Linked Ever Treated Retained on care On trt Suppressed (200cps/ml) 78.4% 78.5% 77.9% 64.3% 57.1% 86.0% AMACS: Athens Multicenter AIDS Cohort Study Initiated: 1996; patients: >9,000
  • 22. Conclusions  There is potential for increase in the number of non commercial clinical studies BUT  simplification of regulatory procedures  effective ways to reduce cost  Reduce hospitals and Universities bureaucracy; simplification; more effective management  Funding  for non-commercial studies  for epidemiological studies offering useful public health data but also background data for RCTs