SlideShare a Scribd company logo
1 of 33
Download to read offline
1 
CDISC Journey in Leukemia Studies using IWCLL 2008 Kevin Lee
Agenda 
1.Introduction of Oncology 
2.Introduction of Leukemia Studies 
3.Introduction of Chronic Lymphocytic Leukemia and IWCLL 2008 
4.Leukemia Specific CDISC SDTM / ADaM 
5.Leukemia Study Example 
6.Conclusion 
7.Questions 
2
Cancer Trivia 
•The word ‘cancer’ is related to the Greek word “crab” because its finger-like projections were similar to the shape of the crab 
•In 2010, the economic cost of the disease worldwide was estimated at $1.16 trillion. 
•One in eight deaths in the world are due to cancer. 
•Cancer is the leading cause of death in developed countries. 
•WHO predicts new cancer cases of 14 million in 2012 to 22 million in 2030 and cancer deaths from 8.2 million a year to 13 million annually. 
•In 2013, an estimated 119,386 people in US were living with Chronic Lymphocytic Leukemia. 
•There are 28 million cancer survivors worldwide. 
•Men who have never married are up to 35% more likely to die from cancer than those who are married. 
3
FDA CDER NMEs and BLAs Approval 
•2012 
–39 Approval 
–13 Oncology (33 %) 
•2013 
–27 Approval 
–8 Oncology (30 %) 
•2014 ( as of the end of October) 
–34 Approval 
–6 Oncology (18%) 
Note: based on the reports of NMEs and BLAs approved by CDER 
4
Oncology Study 
•How are the oncology studies different from other studies? 
–Tumor measurements and their response to drug 
–Oncology type specific measurements (e.g., liver and spleen Enlargement, Bone Marrow Infiltrate and so on) 
–Toxicity (Lab and AE) 
–Time to Event Analysis 
•What tumor studies and response guidelines? 
–Solid Tumor : RECIST 1.1 
–Lymphoma : Cheson 2007 
–Leukemia : IWCLL 2008, IWAML 2003, NCCN Guideline 2012 on ALL, CML ESMO Guidelines 
5
What is Leukemia 
•Cancer that usually begin in the bone marrow and result in high numbers of abnormal white blood cells(lymphocytes). 
•Type of Leukemia 
–Acute Lymphoblastic Leukemia(ALL) - a rapid increase in the number of immature white blood cells. 
–Acute Myeloid Leukemia (AML) - a rapid increase in the number of abnormal white blood cells in bone marrow that interfere with the production of normal blood cells. 
–Chronic Lymphocytic Leukemia (CLL) - excessive buildup of relatively mature, but still abnormal, white blood cells 
–Chronic Myeloid Leukemia (CML) - the increased and unregulated growth of predominantly myeloid cells in the bone marrow and the accumulation of these cells in the blood. 
6
Guidelines for Responses in Leukemia Studies 
Acute Lymphoblastic Leukemia(ALL) – NCCN(National Comprehensive Cancer Network) Guideline version1.2012 
Acute Myeloid Leukemia (AML) – IWAML 2003 
Chronic Lymphocytic Leukemia (CLL) – IWCLL 2008 
Chronic Myeloid Leukemia (CML) - CML ESMO Guideline 
7
Introduction of Chronic Lymphocytic Leukemia (CLL) 
Lymphocytic – if the cancerous change takes place in marrow that forms lymphocytes 
Myelogenous – if the cell change takes place in marrow that forms red blood cells. 
8
Chronic Lymphocytic Leukemia (CLL) Process 
9 
Mutation of stem cells in Bone Marrow 
Abnormal WBC (CLL cells) are formed 
CLL cells increase in bone marrow 
CLL cells increase in blood
Introduction of IWCLL ( International Workshop on Chronic Lymphocytic Leukemia) 
•History 
–IWCLL 1996 and 2008 
•Diagnosis of CLL 
–Blood : > 5 * 109 B lymphocytes/L (5000 / uL) in blood. 
–Immunophenotype (flow cytometry) of Lymphocytes: 
•A presence of T-cell antigen CD5 
•A presence of B-cell surface CD19, CD20, CD23 
•Low surface immunoglobin CD20, CD79b 
10
Tumor Identification and Measurement according to IWCLL 
11 
•Enlarged Lymph Nodes (long axis > 15 mm) 
•Two-dimensional measurement - product of longest diameter and its greatest perpendicular axis (e.g., 40 mm * 15 mm = 600 mm^2) - up to 5
What are to measure for response criteria according to IWCLL 2008 
•Tumor measurements in CT / MRI 
–Lymph Node 
•Lymphocytes Assessment 
•Spleen and Liver Enlargement Assessment 
•Bone Marrow Assessment 
•Blood Count Assessment – Neutrophils, Platelets, and Hemoglobin. 
12
Additional measurements according to IWCLL 2008 
•Immunophenotype (flow Cytometry) Assessment 
•Performance Status by ECOG(Eastern Cooperative Oncology Group) 
•Staging – assessment of disease progress for treatment plan 
–Rai : 0 (Low risk), 1&2 (Intermediate risk), 3 (High risk) 
–Binet : A, B, C 
13
Response Criteria 
•Complete Response(CR) : 
•Partial Response(PR) : 
•Progressive Diseases (PD) : 
•Stable Disease (SD) : Fail to CR/PR or PD 
•Not Evaluable (NE) 
14
Complete Response (CR) 
•Group A 
–Lymph Nodes – all <= 15 mm in longest diameter 
–Blood Lymphocytes < 4.0 * 109 /L (4,000 /uL) 
–Spleen – Not palpable 
–Liver – Not palpable 
–Bone Marrow 
•Normocelullar for age 
•< 30% Lymphocytes 
•No Lymphoid nodules 
•Group B - Blood Counts 
–Neutrophils > 1.5 * 109 /L (1,500 /uL) 
–Platelets > 100 * 109 /L (100,000 /uL) 
–Hemoglobin > 11.0 g/dL 
•Note : All of the criteria has to be met 
15
Partial Response (PR) 
•Group A 
–Lymph Nodes : Sum of products decreases >= 50%, no increase in any lymph node and no new enlarged lymph nodes 
–Blood Lymphocytes : Decrease >= 50% from baseline 
–Spleen : Decrease >= 50% 
–Liver : Decrease >= 50% 
–Bone Marrow : 50% reduction in marrow infiltrate or B-lymphoid nodules presence 
•Group B - Blood Counts 
–Neutrophils > 1.5 * 109 /L (1,500 /uL) or increase >= 50% 
–Platelets > 100 * 109 /L (100,000 /uL)or increase >= 50% 
–Hemoglobin > 11.0 g/dL or increase >= 50% 
•At least Two of Group A and one of Group B should be met 
16
Progressive Disease (PD) 
•Group A 
–Lymph Nodes : Sum of products increase>= 50% or new enlarged lymph nodes 
–Blood Lymphocytes : Increase >= 50% 
–Spleen : Increase >= 50% 
–Liver : Increase >= 50% 
•Group B - Blood Counts 
–Platelets : Decrease >= 50% or < 100* 109 /L 
–Hemoglobin : Decrease of > 2 g/dL or < 10 g/dL 
•At least one from Group A or Group B 
17
CDISC Domains or Datasets for Leukemia Studies 
•SDTM 
–TU : Tumor Identification 
–TR : Tumor Results 
–PE /FA : Liver and Spleen Enlargement 
–LB / FA : Bone Marrow 
–LB : Lymphocytes, Neutrophils, Platelets, and Hemoglobin 
–RS : Response 
•ADaM 
–-TTE : Time to Event Analysis Datasets 
18
Efficacy Evaluation in Leukemia 
•For physically fit patients 
–Overall Survival : Death as event. 
–Overall Response Rate 
•For patients with reduced physical fitness 
–Time to Progression 
–Health-related quality of life 
19
Example 
•Randomized and open label Phase II Study 
•Leukemia following IWCLL 2008 
•Primary Efficacy – Overall Response Rate 
20
SDTM TU (Tumor Identification) 
USUBJID 
TULINKID 
TUTESTCD 
TUTEST 
TUORRES 
TULOC 
TUMETHOD 
001-01- 001 
T01 
TUMIDENT 
Tumor Identification 
TARGET NODAL 
PELVIC LYMPH NODE 
CT SCAN 
001-01- 001 
T02 
TUMIDENT 
Tumor Identification 
TARGET NODAL 
AXILARY LYMPH NODE 
CT SCAN 
001-01- 001 
T03 
TUMIDENT 
Tumor Identification 
TARGET NODAL 
CERVICAL LYMPH NODE 
CT SCAN 
21 
Key points to note: 
• Subject 001 has 3 target 
• TU.TULINKID is connected TR.TRLINKID using RELREC.
SDTM TR at Screening 
USUBJID 
TRGRID 
TRLINKID 
TRTESTCD 
TRTEST 
TRCAT 
TRORRES 
TRORRESU 
VISIT 
TRMETHOD 
001-01- 001 
Target 
T01 
LDIAM 
Longest Diameter 
Measurement 
20 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T01 
LPERP 
Longest Perpendicular 
Measurement 
15 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T01 
AREA 
Area 
Measurement 
300 
mm^2 
Screening 
CT SCAN 
001-01- 001 
Target 
T02 
LDIAM 
Longest Diameter 
Measurement 
25 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T02 
LPERP 
Longest Perpendicular 
Measurement 
20 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T02 
AREA 
Area 
Measurement 
500 
mm^2 
Screening 
CT SCAN 
001-01- 001 
Target 
SUMAREA 
Sum of Products of Perpendicular Diameters 
Measurement 
2560 
mm^2 
Screening 
22 
Key points to note: 
• Area and Sum of Area were collected 
• SPD at screening for 001 is 2,560 mm^2
SDTM TR at Cycle 1 
USUBJID 
TRGRID 
TRLINKID 
TRTESTCD 
TRTEST 
TRCAT 
TRORRES 
TRORRESU 
VISIT 
TRMETHOD 
001-01- 001 
Target 
T01 
LDIAM 
Longest Diameter 
Measurement 
15 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T01 
LPERP 
Longest Perpendicular 
Measurement 
10 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T01 
AREA 
Area 
Measurement 
150 
mm^2 
Screening 
CT SCAN 
001-01- 001 
Target 
T02 
LDIAM 
Longest Diameter 
Measurement 
15 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T02 
LPERP 
Longest Perpendicular 
Measurement 
10 
mm 
Screening 
CT SCAN 
001-01- 001 
Target 
T02 
AREA 
Area 
Measurement 
300 
mm^2 
Screening 
CT SCAN 
001-01- 001 
Target 
SUMAREA 
Sum of Products of Perpendicular Diameters 
Measurement 
1200 
mm^2 
Screening 
23 
Key points to note: 
• SPD at visit 1 for 001 is 1,200, more than 50 % decrease.
Bone Marrow - SDTM LB and FA 
USUBJID 
LBCAT 
LBSPEC 
LBSPID 
LBTEST 
LBORRES 
LBORRESU 
VISIT 
001-01- 001 
HEMATOLOGY 
BONE MARROW 
BR01 
Percentage of Cellularity 
75 
% 
Screening 
001-01- 001 
HEMATOLOGY 
BONE MARROW 
BR01 
Percentage of Cellularity 
65 
% 
Cycle 1 
24 
Key points to note: 
• LB.LBSPID is connected to FA.FASPID 
• We can also use BR (Biopsy) domain 
• If nodules are present in Bone Marrow, they are collected in TR and TU. 
USUBJID 
FACAT 
FASPID 
FATEST 
FAORRES 
VISIT 
001-01-001 
BONE MARROW 
BIOPSY 
BR01 
Bone Marrow Cellularity 
HYPERCELLULAR 
Screening 
001-01-001 
BONE MARROW 
BIOPSY 
BR01 
Bone Marrow Cellularity 
NORMOCELLULAR 
Cycle 1 
001-01-001 
BONE MARROW 
BIOPSY 
BR01 
B-Lymphoid Nodule 
PRESENT 
Screening 
001-01-001 
BONE MARROW 
BIOPSY 
BR01 
B-Lymphoid Nodule 
ABSENT 
Cycle 1
Liver Palpable Assessment - SDTM PE and FA at Screening & Visit 1 
USUBJID 
PECAT 
PESPID 
PEMETHOD 
PETESTCD 
PETEST 
PEORRES 
VISIT 
001-01- 001 
PHYSICAL EXAMINATION 
LP01 
PALPATION 
LIVEREN 
Liver Enlargement 
YES 
Screening 
001-01- 001 
PHYSICAL EXAMINATION 
LP01 
PALPATION 
LIVEREN 
Liver Enlargement 
NO 
Cycle 1 
25 
Key points to note: 
•PE.PESPID and FA.FASPID are linked thru RELREC 
•The liver of Subject 001 was palpable at Screening, but not at Visit 1. Its size decreased from 16 to 10 cm. 
USUBJID 
FACAT 
FASPID 
FATEST 
FAORRES 
FAORRESU 
VISIT 
001-01- 001 
SPLEEN AND LIVER MEASUREMENT 
LP01 
Measurement of Liver Enlargement 
16 
cm 
Screening 
001-01- 001 
SPLEEN AND LIVER MEASUREMENT 
LP01 
Measurement of Liver Enlargement 
10 
cm 
Cycle 1
Spleen Palpable Assessment - SDTM PE and FA at Screening & Visit 1 
USUBJID 
PECAT 
PESPID 
PEMETHOD 
PETESTCD 
PETEST 
PEORRES 
VISIT 
001-01- 001 
PHYSICAL EXAMINATION 
SP01 
PALPATION 
SPLEENEN 
Spleen Enlargement 
YES 
Screening 
001-01- 001 
PHYSICAL EXAMINATION 
SP01 
PALPATION 
SPLEENEN 
Spleen Enlargement 
YES 
Cycle 1 
26 
Key points to note: 
•PE.PESPID and FA.FASPID are linked thru RELREC 
•The spleen of Subject 001 was palpable at Screening and visit 1. Its size decreased from 15 to 14 cm. 
USUBJID 
FACAT 
FASPID 
FATEST 
FAORRES 
FAORRESU 
VISIT 
001-01- 001 
SPLEEN AND LIVER MEASUREMENT 
SP01 
Measurement of Spleen Enlargement 
15 
cm 
Screening 
001-01- 001 
SPLEEN AND LIVER MEASUREMENT 
SP01 
Measurement of Spleen Enlargement 
14 
cm 
Cycle 1
SDTM LB for Leukemia Blood counts 
USUBJID 
LBCAT 
LBTESTCD 
LBTEST 
LBORRES 
LBORRESU 
VISIT 
001-01-001 
HEMATOLOGY 
LYM 
Lymphocytes 
6,000 
/uL 
Screening 
001-01-001 
HEMATOLOGY 
NEUT 
Neutrophils 
1,400 
/uL 
Screening 
001-01-001 
HEMATOLOGY 
PLAT 
Platelets 
90,000 
g/dL 
Screening 
001-01-001 
HEMATOLOGY 
HGB 
Hemoglobin 
13 
/uL 
Screening 
…. 
001-01-001 
HEMATOLOGY 
LYM 
Lymphocytes 
4,500 
/uL 
Cycle 1 
001-01-001 
HEMATOLOGY 
NEUT 
Neutrophils 
1,600 
/uL 
Cycle 1 
001-01-001 
HEMATOLOGY 
PLAT 
Platelets 
100,500 
g/dL 
Cycle 1 
001-01-001 
HEMATOLOGY 
HGB 
Hemoglobin 
13 
/uL 
Cycle 1 
27 
Key points to note: 
•Lymphocytes counts decreased from 6,000 to 4,500 /uL 
•Neutrophils counts increased from 1,400 to 1,600 /uL 
•Platelets counts increased from 90,000 to 100,500 /uL 
•Hemoglobin counts did not change 
•Lab blood counts improved to PR (red-circled) according to response criteria
Response Assessment at Visit 1 
28 
Partial Response at Visit 1 
Tumor measurement decreases more than 50% 
Bone Marrow Cellularity decrease by 13% 
Liver size decrease about 37% 
Spleen size decrease about 7% 
Lymphocytes decrease 33% 
Neutrophils counts increase to 1,600 /uL 
Platelets counts increase to 100,500/uL 
Hemoglobin counts does not change
SDTM RS (Response) – overall response at each visit 
USUBJID 
RSTESTCD 
RSTEST 
RSCAT 
RSORRES 
VISIT 
RSDTC 
RSSEQ 
001-01- 001 
OVRLRESP 
Overall Response 
IWCLL 2008 
PR 
Cycle 1 
2011-03- 01 
1 
001-01- 001 
OVRLRESP 
Overall Response 
IWCLL 2008 
SD 
Cycle 2 
2011-06- 01 
2 
001-01- 001 
OVRLRESP 
Overall Response 
IWCLL 2008 
PR 
Cycle 3 
2011-09- 01 
3 
001-01- 001 
OVRLRESP 
Overall Response 
IWCLL 2008 
PD 
Cycle 4 
2011-12- 01 
4 
001-01- 001 
OVRLRESP 
Overall Response 
IWCLL 2008 
PD 
Cycle 5 
2012-03- 01 
5 
29 
Key points to note: 
• Using Tumor measurement, Bone Marrow Checkup, Spleen/Live assessment and Blood counts, overall Response for each visit was measured and collected. 
•Usually, Responses were measured and collected by investigator, not programmatically.
Response Assessment at given visit 
30 
Response (RS) 
Tumor measurement in SPD by CT SCAN (TR) 
Bone Marrow (LB, FA) 
Spleen and Liver Enlargement (PE, FA) 
Blood Counts (LB)
ADaM : Objective Response Rate 
31 
Key points to note: 
• Best overall response for each subject is obtained overall response from all the visits. 
USUBJID 
TRTP 
PARAMCD 
PARAM 
AVISIT 
AVALC 
001-01-001 
Study Drug 
BESTRESP 
Best Overall Response 
End of Study 
PR 
001-01-001 
Study Drug 
OBJRESP 
Objective Response 
End of Study 
Y 
001-01-002 
Control 
BESTRESP 
Best Overall Response 
End of Study 
SD 
001-01-002 
Control 
OBJRESP 
Objective Response 
End of Study 
N 
001-01-003 
Control 
BESTRESP 
Best Overall Response 
End of Study 
SD 
001-01-003 
Control 
OBJRESP 
Objective Response 
End of Study 
N 
001-01-004 
Study Drug 
BESTRESP 
Best Overall Response 
End of Study 
PR 
001-01-004 
Study Drug 
OBJRESP 
Objective Response 
End of Study 
Y 
001-01-005 
Study Drug 
BESTRESP 
Best Overall Response 
End of Study 
PD 
001-01-005 
Study Drug 
OBJRESP 
Objective Response 
End of Study 
N
Conclusion 
•Standard for Leukemia Studies 
1.IWCLL 2008 : CLL Measurements 
2.CDISC 
•SDTM : submission data 
•ADaM : analysis data 
32
Contact Information and Questions 
33 
© 2014 Accenture All Rights Reserved. 
Email address : kevin.kyosun.lee@gmail.com Linkedin Profile : www.linkedin.com/in/HelloKevinLee/ Tweet : @HelloKevinLee Slide share : http://www.slideshare.net/KevinLee56 Blogs : HiKevinLee.tumbrl.com

More Related Content

What's hot

A Systematic Review of ADaM IG Interpretation
A Systematic Review of ADaM IG InterpretationA Systematic Review of ADaM IG Interpretation
A Systematic Review of ADaM IG InterpretationAngelo Tinazzi
 
Oncology Therapeutic Area Workshop
Oncology Therapeutic Area WorkshopOncology Therapeutic Area Workshop
Oncology Therapeutic Area WorkshopAngelo Tinazzi
 
Trial Design Domains
Trial Design DomainsTrial Design Domains
Trial Design DomainsAnkur Sharma
 
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...Epochresearch
 
Metadata and ADaM
Metadata and ADaMMetadata and ADaM
Metadata and ADaMKevin Lee
 
define_xml_tutorial .ppt
define_xml_tutorial .pptdefine_xml_tutorial .ppt
define_xml_tutorial .pptssuser660bb1
 
SURVIVAL ANALYSIS 1.pptx
SURVIVAL ANALYSIS 1.pptxSURVIVAL ANALYSIS 1.pptx
SURVIVAL ANALYSIS 1.pptxDrVikasKaushik1
 
How to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up tableHow to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up tableKevin Lee
 
Study data tabulation model
Study data tabulation modelStudy data tabulation model
Study data tabulation modelrahulrabbit
 
Chapter 28 clincal trials
Chapter 28 clincal trials Chapter 28 clincal trials
Chapter 28 clincal trials Nilesh Kucha
 
CDISC SDTM Domain Presentation
CDISC SDTM Domain PresentationCDISC SDTM Domain Presentation
CDISC SDTM Domain PresentationAnkur Sharma
 
Survival analysis
Survival analysisSurvival analysis
Survival analysisHar Jindal
 
SDTM modelling: from study protocol to SDTM-compliant datasets
SDTM modelling: from study protocol to SDTM-compliant datasets SDTM modelling: from study protocol to SDTM-compliant datasets
SDTM modelling: from study protocol to SDTM-compliant datasets Angelo Tinazzi
 
Survival Analysis
Survival AnalysisSurvival Analysis
Survival AnalysisSMAliKazemi
 
Analiz sonuçlarının istatistiksel değerlendirilmesi
Analiz sonuçlarının istatistiksel değerlendirilmesiAnaliz sonuçlarının istatistiksel değerlendirilmesi
Analiz sonuçlarının istatistiksel değerlendirilmesiibrahim bulduk
 
Cdisc sdtm implementation_process _v1
Cdisc sdtm implementation_process _v1Cdisc sdtm implementation_process _v1
Cdisc sdtm implementation_process _v1ray4hz
 

What's hot (20)

A Systematic Review of ADaM IG Interpretation
A Systematic Review of ADaM IG InterpretationA Systematic Review of ADaM IG Interpretation
A Systematic Review of ADaM IG Interpretation
 
Oncology Therapeutic Area Workshop
Oncology Therapeutic Area WorkshopOncology Therapeutic Area Workshop
Oncology Therapeutic Area Workshop
 
Trial Design Domains
Trial Design DomainsTrial Design Domains
Trial Design Domains
 
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...
Clinical SAS Programming | SAS Training | Big Data | Hadoop | Business Analyt...
 
Metadata and ADaM
Metadata and ADaMMetadata and ADaM
Metadata and ADaM
 
define_xml_tutorial .ppt
define_xml_tutorial .pptdefine_xml_tutorial .ppt
define_xml_tutorial .ppt
 
SURVIVAL ANALYSIS 1.pptx
SURVIVAL ANALYSIS 1.pptxSURVIVAL ANALYSIS 1.pptx
SURVIVAL ANALYSIS 1.pptx
 
Survival analysis
Survival analysisSurvival analysis
Survival analysis
 
How to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up tableHow to build ADaM BDS dataset from mock up table
How to build ADaM BDS dataset from mock up table
 
Study data tabulation model
Study data tabulation modelStudy data tabulation model
Study data tabulation model
 
Chapter 28 clincal trials
Chapter 28 clincal trials Chapter 28 clincal trials
Chapter 28 clincal trials
 
regulatory.pptx
regulatory.pptxregulatory.pptx
regulatory.pptx
 
CDISC SDTM Domain Presentation
CDISC SDTM Domain PresentationCDISC SDTM Domain Presentation
CDISC SDTM Domain Presentation
 
Introduction to SDTM
Introduction to SDTMIntroduction to SDTM
Introduction to SDTM
 
Survival analysis
Survival analysisSurvival analysis
Survival analysis
 
SDTM modelling: from study protocol to SDTM-compliant datasets
SDTM modelling: from study protocol to SDTM-compliant datasets SDTM modelling: from study protocol to SDTM-compliant datasets
SDTM modelling: from study protocol to SDTM-compliant datasets
 
ADaM - Where Do I Start?
ADaM - Where Do I Start?ADaM - Where Do I Start?
ADaM - Where Do I Start?
 
Survival Analysis
Survival AnalysisSurvival Analysis
Survival Analysis
 
Analiz sonuçlarının istatistiksel değerlendirilmesi
Analiz sonuçlarının istatistiksel değerlendirilmesiAnaliz sonuçlarının istatistiksel değerlendirilmesi
Analiz sonuçlarının istatistiksel değerlendirilmesi
 
Cdisc sdtm implementation_process _v1
Cdisc sdtm implementation_process _v1Cdisc sdtm implementation_process _v1
Cdisc sdtm implementation_process _v1
 

Similar to CDISC journey in Leukemia studies using IWCLL 2008

CDISC journey using Cheson 2007
CDISC journey using Cheson 2007CDISC journey using Cheson 2007
CDISC journey using Cheson 2007Kevin Lee
 
Chronic Lymphocytic Leukemia
Chronic Lymphocytic LeukemiaChronic Lymphocytic Leukemia
Chronic Lymphocytic LeukemiaDrAyush Garg
 
Standards-driven Oncology Studies
Standards-driven Oncology StudiesStandards-driven Oncology Studies
Standards-driven Oncology StudiesKevin Lee
 
Nuclear medicine in systemic lymphomas
Nuclear medicine in systemic lymphomasNuclear medicine in systemic lymphomas
Nuclear medicine in systemic lymphomasGanesh Kumar
 
Role of Surgery
 Role of Surgery Role of Surgery
Role of SurgeryPAIRS WEB
 
Inotuzumab ozogamicin (BESPONSA)
Inotuzumab ozogamicin (BESPONSA) Inotuzumab ozogamicin (BESPONSA)
Inotuzumab ozogamicin (BESPONSA) OscarKwan6
 
Chronic myeloid leukaemia
Chronic myeloid leukaemiaChronic myeloid leukaemia
Chronic myeloid leukaemiajackson711
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...Ugo161BB
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...JoannalynDivino1
 
Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...
Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...
Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...ssuser5c2cc31
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sharvani23
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...Loshseni
 
032 hossein eftekhari,md
032 hossein eftekhari,md032 hossein eftekhari,md
032 hossein eftekhari,mdSHAPE Society
 
Chronic lymphocytic leukaemia.pptx
Chronic lymphocytic leukaemia.pptxChronic lymphocytic leukaemia.pptx
Chronic lymphocytic leukaemia.pptxJulianah9
 
LAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERY
LAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERYLAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERY
LAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERYPunam Nagargoje
 
SCREENING TUBES
SCREENING TUBESSCREENING TUBES
SCREENING TUBESAmr Rajab
 

Similar to CDISC journey in Leukemia studies using IWCLL 2008 (20)

CDISC journey using Cheson 2007
CDISC journey using Cheson 2007CDISC journey using Cheson 2007
CDISC journey using Cheson 2007
 
Chronic Lymphocytic Leukemia
Chronic Lymphocytic LeukemiaChronic Lymphocytic Leukemia
Chronic Lymphocytic Leukemia
 
Standards-driven Oncology Studies
Standards-driven Oncology StudiesStandards-driven Oncology Studies
Standards-driven Oncology Studies
 
Nuclear medicine in systemic lymphomas
Nuclear medicine in systemic lymphomasNuclear medicine in systemic lymphomas
Nuclear medicine in systemic lymphomas
 
Role of Surgery
 Role of Surgery Role of Surgery
Role of Surgery
 
Inotuzumab ozogamicin (BESPONSA)
Inotuzumab ozogamicin (BESPONSA) Inotuzumab ozogamicin (BESPONSA)
Inotuzumab ozogamicin (BESPONSA)
 
Lab section 2 O6U
Lab section 2 O6ULab section 2 O6U
Lab section 2 O6U
 
Chronic myeloid leukaemia
Chronic myeloid leukaemiaChronic myeloid leukaemia
Chronic myeloid leukaemia
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
 
Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...
Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...
Sepsis powerpoint-slide-presentation---the-guidelines -implementation-for-the...
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
 
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
sepsis-powerpoint-slide-presentation---the-guidelines_-implementation-for-the...
 
032 hossein eftekhari,md
032 hossein eftekhari,md032 hossein eftekhari,md
032 hossein eftekhari,md
 
032 hossein eftekhari,md
032 hossein eftekhari,md032 hossein eftekhari,md
032 hossein eftekhari,md
 
Percutaneous coronary intervention by hossein
Percutaneous coronary intervention  by hosseinPercutaneous coronary intervention  by hossein
Percutaneous coronary intervention by hossein
 
Chronic lymphocytic leukaemia.pptx
Chronic lymphocytic leukaemia.pptxChronic lymphocytic leukaemia.pptx
Chronic lymphocytic leukaemia.pptx
 
LAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERY
LAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERYLAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERY
LAB INVESTIGATIONS IN ORAL AND MAXILLOFACIAL SURGERY
 
Bjh12067
Bjh12067Bjh12067
Bjh12067
 
SCREENING TUBES
SCREENING TUBESSCREENING TUBES
SCREENING TUBES
 

More from Kevin Lee

Patient’s Journey using Real World Data and its Advanced Analytics
Patient’s Journey using Real World Data and its Advanced AnalyticsPatient’s Journey using Real World Data and its Advanced Analytics
Patient’s Journey using Real World Data and its Advanced AnalyticsKevin Lee
 
Introduction of AWS Cloud Computing and its future for Biometric Department
Introduction of AWS Cloud Computing and its future for Biometric DepartmentIntroduction of AWS Cloud Computing and its future for Biometric Department
Introduction of AWS Cloud Computing and its future for Biometric DepartmentKevin Lee
 
A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...
A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...
A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...Kevin Lee
 
Prompt it, not Google it - Prompt Engineering for Data Scientists
Prompt it, not Google it - Prompt Engineering for Data ScientistsPrompt it, not Google it - Prompt Engineering for Data Scientists
Prompt it, not Google it - Prompt Engineering for Data ScientistsKevin Lee
 
Leading into the Unknown? Yes, we need Change Management Leadership
Leading into the Unknown? Yes, we need Change Management LeadershipLeading into the Unknown? Yes, we need Change Management Leadership
Leading into the Unknown? Yes, we need Change Management LeadershipKevin Lee
 
How to create SDTM DM.xpt using Python v1.1
How to create SDTM DM.xpt using Python v1.1How to create SDTM DM.xpt using Python v1.1
How to create SDTM DM.xpt using Python v1.1Kevin Lee
 
Enterprise-level Transition from SAS to Open-source Programming for the whole...
Enterprise-level Transition from SAS to Open-source Programming for the whole...Enterprise-level Transition from SAS to Open-source Programming for the whole...
Enterprise-level Transition from SAS to Open-source Programming for the whole...Kevin Lee
 
How I became ML Engineer
How I became ML Engineer How I became ML Engineer
How I became ML Engineer Kevin Lee
 
Artificial Intelligence in Pharmaceutical Industry
Artificial Intelligence in Pharmaceutical IndustryArtificial Intelligence in Pharmaceutical Industry
Artificial Intelligence in Pharmaceutical IndustryKevin Lee
 
Tell stories with jupyter notebook
Tell stories with jupyter notebookTell stories with jupyter notebook
Tell stories with jupyter notebookKevin Lee
 
Perfect partnership - machine learning and CDISC standard data
Perfect partnership - machine learning and CDISC standard dataPerfect partnership - machine learning and CDISC standard data
Perfect partnership - machine learning and CDISC standard dataKevin Lee
 
Machine Learning : why we should know and how it works
Machine Learning : why we should know and how it worksMachine Learning : why we should know and how it works
Machine Learning : why we should know and how it worksKevin Lee
 
Big data for SAS programmers
Big data for SAS programmersBig data for SAS programmers
Big data for SAS programmersKevin Lee
 
Big data in pharmaceutical industry
Big data in pharmaceutical industryBig data in pharmaceutical industry
Big data in pharmaceutical industryKevin Lee
 
How FDA will reject non compliant electronic submission
How FDA will reject non compliant electronic submissionHow FDA will reject non compliant electronic submission
How FDA will reject non compliant electronic submissionKevin Lee
 
End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...
End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...
End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...Kevin Lee
 
Are you ready for Dec 17, 2016 - CDISC compliant data?
Are you ready for Dec 17, 2016 - CDISC compliant data?Are you ready for Dec 17, 2016 - CDISC compliant data?
Are you ready for Dec 17, 2016 - CDISC compliant data?Kevin Lee
 
SAS integration with NoSQL data
SAS integration with NoSQL dataSAS integration with NoSQL data
SAS integration with NoSQL dataKevin Lee
 
Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmersIntroduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmersKevin Lee
 
Standards Metadata Management (system)
Standards Metadata Management (system)Standards Metadata Management (system)
Standards Metadata Management (system)Kevin Lee
 

More from Kevin Lee (20)

Patient’s Journey using Real World Data and its Advanced Analytics
Patient’s Journey using Real World Data and its Advanced AnalyticsPatient’s Journey using Real World Data and its Advanced Analytics
Patient’s Journey using Real World Data and its Advanced Analytics
 
Introduction of AWS Cloud Computing and its future for Biometric Department
Introduction of AWS Cloud Computing and its future for Biometric DepartmentIntroduction of AWS Cloud Computing and its future for Biometric Department
Introduction of AWS Cloud Computing and its future for Biometric Department
 
A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...
A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...
A fear of missing out and a fear of messing up : A Strategic Roadmap for Chat...
 
Prompt it, not Google it - Prompt Engineering for Data Scientists
Prompt it, not Google it - Prompt Engineering for Data ScientistsPrompt it, not Google it - Prompt Engineering for Data Scientists
Prompt it, not Google it - Prompt Engineering for Data Scientists
 
Leading into the Unknown? Yes, we need Change Management Leadership
Leading into the Unknown? Yes, we need Change Management LeadershipLeading into the Unknown? Yes, we need Change Management Leadership
Leading into the Unknown? Yes, we need Change Management Leadership
 
How to create SDTM DM.xpt using Python v1.1
How to create SDTM DM.xpt using Python v1.1How to create SDTM DM.xpt using Python v1.1
How to create SDTM DM.xpt using Python v1.1
 
Enterprise-level Transition from SAS to Open-source Programming for the whole...
Enterprise-level Transition from SAS to Open-source Programming for the whole...Enterprise-level Transition from SAS to Open-source Programming for the whole...
Enterprise-level Transition from SAS to Open-source Programming for the whole...
 
How I became ML Engineer
How I became ML Engineer How I became ML Engineer
How I became ML Engineer
 
Artificial Intelligence in Pharmaceutical Industry
Artificial Intelligence in Pharmaceutical IndustryArtificial Intelligence in Pharmaceutical Industry
Artificial Intelligence in Pharmaceutical Industry
 
Tell stories with jupyter notebook
Tell stories with jupyter notebookTell stories with jupyter notebook
Tell stories with jupyter notebook
 
Perfect partnership - machine learning and CDISC standard data
Perfect partnership - machine learning and CDISC standard dataPerfect partnership - machine learning and CDISC standard data
Perfect partnership - machine learning and CDISC standard data
 
Machine Learning : why we should know and how it works
Machine Learning : why we should know and how it worksMachine Learning : why we should know and how it works
Machine Learning : why we should know and how it works
 
Big data for SAS programmers
Big data for SAS programmersBig data for SAS programmers
Big data for SAS programmers
 
Big data in pharmaceutical industry
Big data in pharmaceutical industryBig data in pharmaceutical industry
Big data in pharmaceutical industry
 
How FDA will reject non compliant electronic submission
How FDA will reject non compliant electronic submissionHow FDA will reject non compliant electronic submission
How FDA will reject non compliant electronic submission
 
End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...
End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...
End to end standards driven oncology study (solid tumor, Immunotherapy, Leuke...
 
Are you ready for Dec 17, 2016 - CDISC compliant data?
Are you ready for Dec 17, 2016 - CDISC compliant data?Are you ready for Dec 17, 2016 - CDISC compliant data?
Are you ready for Dec 17, 2016 - CDISC compliant data?
 
SAS integration with NoSQL data
SAS integration with NoSQL dataSAS integration with NoSQL data
SAS integration with NoSQL data
 
Introduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmersIntroduction of semantic technology for SAS programmers
Introduction of semantic technology for SAS programmers
 
Standards Metadata Management (system)
Standards Metadata Management (system)Standards Metadata Management (system)
Standards Metadata Management (system)
 

Recently uploaded

Udaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in UdaipurUdaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in Udaipurseemahedar019
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅gragmanisha42
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Memriyagarg453
 
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meetpriyashah722354
 
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171Call Girls Service Gurgaon
 
Dehradun Call Girls Service 8854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 8854095900 Real Russian Girls Looking ModelsDehradun Call Girls Service 8854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 8854095900 Real Russian Girls Looking Modelsindiancallgirl4rent
 
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...Niamh verma
 
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In LudhianaHot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In LudhianaRussian Call Girls in Ludhiana
 
❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF ...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF  ...❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF  ...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF ...Gfnyt.com
 
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near MeVIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Memriyagarg453
 
Call Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In Raipur
Call Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In RaipurCall Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In Raipur
Call Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In Raipurgragmanisha42
 
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591adityaroy0215
 
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Miss joya
 
Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★
Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★
Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★indiancallgirl4rent
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Vipesco
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.ktanvi103
 
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in LucknowRussian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknowgragteena
 
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Sheetaleventcompany
 
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591adityaroy0215
 
Bangalore call girl 👯‍♀️@ Simran Independent Call Girls in Bangalore GIUXUZ...
Bangalore call girl  👯‍♀️@ Simran Independent Call Girls in Bangalore  GIUXUZ...Bangalore call girl  👯‍♀️@ Simran Independent Call Girls in Bangalore  GIUXUZ...
Bangalore call girl 👯‍♀️@ Simran Independent Call Girls in Bangalore GIUXUZ...Gfnyt
 

Recently uploaded (20)

Udaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in UdaipurUdaipur Call Girls 📲 9999965857 Call Girl in Udaipur
Udaipur Call Girls 📲 9999965857 Call Girl in Udaipur
 
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
Russian Call Girls Kota * 8250192130 Service starts from just ₹9999 ✅
 
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near MeVIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
VIP Call Girls Noida Sia 9711199171 High Class Call Girl Near Me
 
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real MeetCall Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
Call Girls Chandigarh 👙 7001035870 👙 Genuine WhatsApp Number for Real Meet
 
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171VIP Call Girl Sector 32 Noida Just Book Me 9711199171
VIP Call Girl Sector 32 Noida Just Book Me 9711199171
 
Dehradun Call Girls Service 8854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 8854095900 Real Russian Girls Looking ModelsDehradun Call Girls Service 8854095900 Real Russian Girls Looking Models
Dehradun Call Girls Service 8854095900 Real Russian Girls Looking Models
 
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
Call Girls Service Chandigarh Gori WhatsApp ❤7710465962 VIP Call Girls Chandi...
 
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In LudhianaHot  Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
Hot Call Girl In Ludhiana 👅🥵 9053'900678 Call Girls Service In Ludhiana
 
❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF ...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF  ...❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF  ...
❤️♀️@ Jaipur Call Girls ❤️♀️@ Jaispreet Call Girl Services in Jaipur QRYPCF ...
 
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near MeVIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
VIP Call Girls Noida Jhanvi 9711199171 Best VIP Call Girls Near Me
 
Call Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In Raipur
Call Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In RaipurCall Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In Raipur
Call Girl Raipur 📲 9999965857 ヅ10k NiGhT Call Girls In Raipur
 
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
VIP Call Girl Sector 25 Gurgaon Just Call Me 9899900591
 
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
Vip Kolkata Call Girls Cossipore 👉 8250192130 ❣️💯 Available With Room 24×7
 
Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★
Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★
Enjoyment ★ 8854095900 Indian Call Girls In Dehradun 🍆🍌 By Dehradun Call Girl ★
 
Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510Krishnagiri call girls Tamil aunty 7877702510
Krishnagiri call girls Tamil aunty 7877702510
 
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
Call Now ☎ 9999965857 !! Call Girls in Hauz Khas Escort Service Delhi N.C.R.
 
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in LucknowRussian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
Russian Escorts Aishbagh Road * 9548273370 Naughty Call Girls Service in Lucknow
 
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
Call Girl In Zirakpur ❤️♀️@ 9988299661 Zirakpur Call Girls Near Me ❤️♀️@ Sexy...
 
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
VIP Call Girl Sector 88 Gurgaon Delhi Just Call Me 9899900591
 
Bangalore call girl 👯‍♀️@ Simran Independent Call Girls in Bangalore GIUXUZ...
Bangalore call girl  👯‍♀️@ Simran Independent Call Girls in Bangalore  GIUXUZ...Bangalore call girl  👯‍♀️@ Simran Independent Call Girls in Bangalore  GIUXUZ...
Bangalore call girl 👯‍♀️@ Simran Independent Call Girls in Bangalore GIUXUZ...
 

CDISC journey in Leukemia studies using IWCLL 2008

  • 1. 1 CDISC Journey in Leukemia Studies using IWCLL 2008 Kevin Lee
  • 2. Agenda 1.Introduction of Oncology 2.Introduction of Leukemia Studies 3.Introduction of Chronic Lymphocytic Leukemia and IWCLL 2008 4.Leukemia Specific CDISC SDTM / ADaM 5.Leukemia Study Example 6.Conclusion 7.Questions 2
  • 3. Cancer Trivia •The word ‘cancer’ is related to the Greek word “crab” because its finger-like projections were similar to the shape of the crab •In 2010, the economic cost of the disease worldwide was estimated at $1.16 trillion. •One in eight deaths in the world are due to cancer. •Cancer is the leading cause of death in developed countries. •WHO predicts new cancer cases of 14 million in 2012 to 22 million in 2030 and cancer deaths from 8.2 million a year to 13 million annually. •In 2013, an estimated 119,386 people in US were living with Chronic Lymphocytic Leukemia. •There are 28 million cancer survivors worldwide. •Men who have never married are up to 35% more likely to die from cancer than those who are married. 3
  • 4. FDA CDER NMEs and BLAs Approval •2012 –39 Approval –13 Oncology (33 %) •2013 –27 Approval –8 Oncology (30 %) •2014 ( as of the end of October) –34 Approval –6 Oncology (18%) Note: based on the reports of NMEs and BLAs approved by CDER 4
  • 5. Oncology Study •How are the oncology studies different from other studies? –Tumor measurements and their response to drug –Oncology type specific measurements (e.g., liver and spleen Enlargement, Bone Marrow Infiltrate and so on) –Toxicity (Lab and AE) –Time to Event Analysis •What tumor studies and response guidelines? –Solid Tumor : RECIST 1.1 –Lymphoma : Cheson 2007 –Leukemia : IWCLL 2008, IWAML 2003, NCCN Guideline 2012 on ALL, CML ESMO Guidelines 5
  • 6. What is Leukemia •Cancer that usually begin in the bone marrow and result in high numbers of abnormal white blood cells(lymphocytes). •Type of Leukemia –Acute Lymphoblastic Leukemia(ALL) - a rapid increase in the number of immature white blood cells. –Acute Myeloid Leukemia (AML) - a rapid increase in the number of abnormal white blood cells in bone marrow that interfere with the production of normal blood cells. –Chronic Lymphocytic Leukemia (CLL) - excessive buildup of relatively mature, but still abnormal, white blood cells –Chronic Myeloid Leukemia (CML) - the increased and unregulated growth of predominantly myeloid cells in the bone marrow and the accumulation of these cells in the blood. 6
  • 7. Guidelines for Responses in Leukemia Studies Acute Lymphoblastic Leukemia(ALL) – NCCN(National Comprehensive Cancer Network) Guideline version1.2012 Acute Myeloid Leukemia (AML) – IWAML 2003 Chronic Lymphocytic Leukemia (CLL) – IWCLL 2008 Chronic Myeloid Leukemia (CML) - CML ESMO Guideline 7
  • 8. Introduction of Chronic Lymphocytic Leukemia (CLL) Lymphocytic – if the cancerous change takes place in marrow that forms lymphocytes Myelogenous – if the cell change takes place in marrow that forms red blood cells. 8
  • 9. Chronic Lymphocytic Leukemia (CLL) Process 9 Mutation of stem cells in Bone Marrow Abnormal WBC (CLL cells) are formed CLL cells increase in bone marrow CLL cells increase in blood
  • 10. Introduction of IWCLL ( International Workshop on Chronic Lymphocytic Leukemia) •History –IWCLL 1996 and 2008 •Diagnosis of CLL –Blood : > 5 * 109 B lymphocytes/L (5000 / uL) in blood. –Immunophenotype (flow cytometry) of Lymphocytes: •A presence of T-cell antigen CD5 •A presence of B-cell surface CD19, CD20, CD23 •Low surface immunoglobin CD20, CD79b 10
  • 11. Tumor Identification and Measurement according to IWCLL 11 •Enlarged Lymph Nodes (long axis > 15 mm) •Two-dimensional measurement - product of longest diameter and its greatest perpendicular axis (e.g., 40 mm * 15 mm = 600 mm^2) - up to 5
  • 12. What are to measure for response criteria according to IWCLL 2008 •Tumor measurements in CT / MRI –Lymph Node •Lymphocytes Assessment •Spleen and Liver Enlargement Assessment •Bone Marrow Assessment •Blood Count Assessment – Neutrophils, Platelets, and Hemoglobin. 12
  • 13. Additional measurements according to IWCLL 2008 •Immunophenotype (flow Cytometry) Assessment •Performance Status by ECOG(Eastern Cooperative Oncology Group) •Staging – assessment of disease progress for treatment plan –Rai : 0 (Low risk), 1&2 (Intermediate risk), 3 (High risk) –Binet : A, B, C 13
  • 14. Response Criteria •Complete Response(CR) : •Partial Response(PR) : •Progressive Diseases (PD) : •Stable Disease (SD) : Fail to CR/PR or PD •Not Evaluable (NE) 14
  • 15. Complete Response (CR) •Group A –Lymph Nodes – all <= 15 mm in longest diameter –Blood Lymphocytes < 4.0 * 109 /L (4,000 /uL) –Spleen – Not palpable –Liver – Not palpable –Bone Marrow •Normocelullar for age •< 30% Lymphocytes •No Lymphoid nodules •Group B - Blood Counts –Neutrophils > 1.5 * 109 /L (1,500 /uL) –Platelets > 100 * 109 /L (100,000 /uL) –Hemoglobin > 11.0 g/dL •Note : All of the criteria has to be met 15
  • 16. Partial Response (PR) •Group A –Lymph Nodes : Sum of products decreases >= 50%, no increase in any lymph node and no new enlarged lymph nodes –Blood Lymphocytes : Decrease >= 50% from baseline –Spleen : Decrease >= 50% –Liver : Decrease >= 50% –Bone Marrow : 50% reduction in marrow infiltrate or B-lymphoid nodules presence •Group B - Blood Counts –Neutrophils > 1.5 * 109 /L (1,500 /uL) or increase >= 50% –Platelets > 100 * 109 /L (100,000 /uL)or increase >= 50% –Hemoglobin > 11.0 g/dL or increase >= 50% •At least Two of Group A and one of Group B should be met 16
  • 17. Progressive Disease (PD) •Group A –Lymph Nodes : Sum of products increase>= 50% or new enlarged lymph nodes –Blood Lymphocytes : Increase >= 50% –Spleen : Increase >= 50% –Liver : Increase >= 50% •Group B - Blood Counts –Platelets : Decrease >= 50% or < 100* 109 /L –Hemoglobin : Decrease of > 2 g/dL or < 10 g/dL •At least one from Group A or Group B 17
  • 18. CDISC Domains or Datasets for Leukemia Studies •SDTM –TU : Tumor Identification –TR : Tumor Results –PE /FA : Liver and Spleen Enlargement –LB / FA : Bone Marrow –LB : Lymphocytes, Neutrophils, Platelets, and Hemoglobin –RS : Response •ADaM –-TTE : Time to Event Analysis Datasets 18
  • 19. Efficacy Evaluation in Leukemia •For physically fit patients –Overall Survival : Death as event. –Overall Response Rate •For patients with reduced physical fitness –Time to Progression –Health-related quality of life 19
  • 20. Example •Randomized and open label Phase II Study •Leukemia following IWCLL 2008 •Primary Efficacy – Overall Response Rate 20
  • 21. SDTM TU (Tumor Identification) USUBJID TULINKID TUTESTCD TUTEST TUORRES TULOC TUMETHOD 001-01- 001 T01 TUMIDENT Tumor Identification TARGET NODAL PELVIC LYMPH NODE CT SCAN 001-01- 001 T02 TUMIDENT Tumor Identification TARGET NODAL AXILARY LYMPH NODE CT SCAN 001-01- 001 T03 TUMIDENT Tumor Identification TARGET NODAL CERVICAL LYMPH NODE CT SCAN 21 Key points to note: • Subject 001 has 3 target • TU.TULINKID is connected TR.TRLINKID using RELREC.
  • 22. SDTM TR at Screening USUBJID TRGRID TRLINKID TRTESTCD TRTEST TRCAT TRORRES TRORRESU VISIT TRMETHOD 001-01- 001 Target T01 LDIAM Longest Diameter Measurement 20 mm Screening CT SCAN 001-01- 001 Target T01 LPERP Longest Perpendicular Measurement 15 mm Screening CT SCAN 001-01- 001 Target T01 AREA Area Measurement 300 mm^2 Screening CT SCAN 001-01- 001 Target T02 LDIAM Longest Diameter Measurement 25 mm Screening CT SCAN 001-01- 001 Target T02 LPERP Longest Perpendicular Measurement 20 mm Screening CT SCAN 001-01- 001 Target T02 AREA Area Measurement 500 mm^2 Screening CT SCAN 001-01- 001 Target SUMAREA Sum of Products of Perpendicular Diameters Measurement 2560 mm^2 Screening 22 Key points to note: • Area and Sum of Area were collected • SPD at screening for 001 is 2,560 mm^2
  • 23. SDTM TR at Cycle 1 USUBJID TRGRID TRLINKID TRTESTCD TRTEST TRCAT TRORRES TRORRESU VISIT TRMETHOD 001-01- 001 Target T01 LDIAM Longest Diameter Measurement 15 mm Screening CT SCAN 001-01- 001 Target T01 LPERP Longest Perpendicular Measurement 10 mm Screening CT SCAN 001-01- 001 Target T01 AREA Area Measurement 150 mm^2 Screening CT SCAN 001-01- 001 Target T02 LDIAM Longest Diameter Measurement 15 mm Screening CT SCAN 001-01- 001 Target T02 LPERP Longest Perpendicular Measurement 10 mm Screening CT SCAN 001-01- 001 Target T02 AREA Area Measurement 300 mm^2 Screening CT SCAN 001-01- 001 Target SUMAREA Sum of Products of Perpendicular Diameters Measurement 1200 mm^2 Screening 23 Key points to note: • SPD at visit 1 for 001 is 1,200, more than 50 % decrease.
  • 24. Bone Marrow - SDTM LB and FA USUBJID LBCAT LBSPEC LBSPID LBTEST LBORRES LBORRESU VISIT 001-01- 001 HEMATOLOGY BONE MARROW BR01 Percentage of Cellularity 75 % Screening 001-01- 001 HEMATOLOGY BONE MARROW BR01 Percentage of Cellularity 65 % Cycle 1 24 Key points to note: • LB.LBSPID is connected to FA.FASPID • We can also use BR (Biopsy) domain • If nodules are present in Bone Marrow, they are collected in TR and TU. USUBJID FACAT FASPID FATEST FAORRES VISIT 001-01-001 BONE MARROW BIOPSY BR01 Bone Marrow Cellularity HYPERCELLULAR Screening 001-01-001 BONE MARROW BIOPSY BR01 Bone Marrow Cellularity NORMOCELLULAR Cycle 1 001-01-001 BONE MARROW BIOPSY BR01 B-Lymphoid Nodule PRESENT Screening 001-01-001 BONE MARROW BIOPSY BR01 B-Lymphoid Nodule ABSENT Cycle 1
  • 25. Liver Palpable Assessment - SDTM PE and FA at Screening & Visit 1 USUBJID PECAT PESPID PEMETHOD PETESTCD PETEST PEORRES VISIT 001-01- 001 PHYSICAL EXAMINATION LP01 PALPATION LIVEREN Liver Enlargement YES Screening 001-01- 001 PHYSICAL EXAMINATION LP01 PALPATION LIVEREN Liver Enlargement NO Cycle 1 25 Key points to note: •PE.PESPID and FA.FASPID are linked thru RELREC •The liver of Subject 001 was palpable at Screening, but not at Visit 1. Its size decreased from 16 to 10 cm. USUBJID FACAT FASPID FATEST FAORRES FAORRESU VISIT 001-01- 001 SPLEEN AND LIVER MEASUREMENT LP01 Measurement of Liver Enlargement 16 cm Screening 001-01- 001 SPLEEN AND LIVER MEASUREMENT LP01 Measurement of Liver Enlargement 10 cm Cycle 1
  • 26. Spleen Palpable Assessment - SDTM PE and FA at Screening & Visit 1 USUBJID PECAT PESPID PEMETHOD PETESTCD PETEST PEORRES VISIT 001-01- 001 PHYSICAL EXAMINATION SP01 PALPATION SPLEENEN Spleen Enlargement YES Screening 001-01- 001 PHYSICAL EXAMINATION SP01 PALPATION SPLEENEN Spleen Enlargement YES Cycle 1 26 Key points to note: •PE.PESPID and FA.FASPID are linked thru RELREC •The spleen of Subject 001 was palpable at Screening and visit 1. Its size decreased from 15 to 14 cm. USUBJID FACAT FASPID FATEST FAORRES FAORRESU VISIT 001-01- 001 SPLEEN AND LIVER MEASUREMENT SP01 Measurement of Spleen Enlargement 15 cm Screening 001-01- 001 SPLEEN AND LIVER MEASUREMENT SP01 Measurement of Spleen Enlargement 14 cm Cycle 1
  • 27. SDTM LB for Leukemia Blood counts USUBJID LBCAT LBTESTCD LBTEST LBORRES LBORRESU VISIT 001-01-001 HEMATOLOGY LYM Lymphocytes 6,000 /uL Screening 001-01-001 HEMATOLOGY NEUT Neutrophils 1,400 /uL Screening 001-01-001 HEMATOLOGY PLAT Platelets 90,000 g/dL Screening 001-01-001 HEMATOLOGY HGB Hemoglobin 13 /uL Screening …. 001-01-001 HEMATOLOGY LYM Lymphocytes 4,500 /uL Cycle 1 001-01-001 HEMATOLOGY NEUT Neutrophils 1,600 /uL Cycle 1 001-01-001 HEMATOLOGY PLAT Platelets 100,500 g/dL Cycle 1 001-01-001 HEMATOLOGY HGB Hemoglobin 13 /uL Cycle 1 27 Key points to note: •Lymphocytes counts decreased from 6,000 to 4,500 /uL •Neutrophils counts increased from 1,400 to 1,600 /uL •Platelets counts increased from 90,000 to 100,500 /uL •Hemoglobin counts did not change •Lab blood counts improved to PR (red-circled) according to response criteria
  • 28. Response Assessment at Visit 1 28 Partial Response at Visit 1 Tumor measurement decreases more than 50% Bone Marrow Cellularity decrease by 13% Liver size decrease about 37% Spleen size decrease about 7% Lymphocytes decrease 33% Neutrophils counts increase to 1,600 /uL Platelets counts increase to 100,500/uL Hemoglobin counts does not change
  • 29. SDTM RS (Response) – overall response at each visit USUBJID RSTESTCD RSTEST RSCAT RSORRES VISIT RSDTC RSSEQ 001-01- 001 OVRLRESP Overall Response IWCLL 2008 PR Cycle 1 2011-03- 01 1 001-01- 001 OVRLRESP Overall Response IWCLL 2008 SD Cycle 2 2011-06- 01 2 001-01- 001 OVRLRESP Overall Response IWCLL 2008 PR Cycle 3 2011-09- 01 3 001-01- 001 OVRLRESP Overall Response IWCLL 2008 PD Cycle 4 2011-12- 01 4 001-01- 001 OVRLRESP Overall Response IWCLL 2008 PD Cycle 5 2012-03- 01 5 29 Key points to note: • Using Tumor measurement, Bone Marrow Checkup, Spleen/Live assessment and Blood counts, overall Response for each visit was measured and collected. •Usually, Responses were measured and collected by investigator, not programmatically.
  • 30. Response Assessment at given visit 30 Response (RS) Tumor measurement in SPD by CT SCAN (TR) Bone Marrow (LB, FA) Spleen and Liver Enlargement (PE, FA) Blood Counts (LB)
  • 31. ADaM : Objective Response Rate 31 Key points to note: • Best overall response for each subject is obtained overall response from all the visits. USUBJID TRTP PARAMCD PARAM AVISIT AVALC 001-01-001 Study Drug BESTRESP Best Overall Response End of Study PR 001-01-001 Study Drug OBJRESP Objective Response End of Study Y 001-01-002 Control BESTRESP Best Overall Response End of Study SD 001-01-002 Control OBJRESP Objective Response End of Study N 001-01-003 Control BESTRESP Best Overall Response End of Study SD 001-01-003 Control OBJRESP Objective Response End of Study N 001-01-004 Study Drug BESTRESP Best Overall Response End of Study PR 001-01-004 Study Drug OBJRESP Objective Response End of Study Y 001-01-005 Study Drug BESTRESP Best Overall Response End of Study PD 001-01-005 Study Drug OBJRESP Objective Response End of Study N
  • 32. Conclusion •Standard for Leukemia Studies 1.IWCLL 2008 : CLL Measurements 2.CDISC •SDTM : submission data •ADaM : analysis data 32
  • 33. Contact Information and Questions 33 © 2014 Accenture All Rights Reserved. Email address : kevin.kyosun.lee@gmail.com Linkedin Profile : www.linkedin.com/in/HelloKevinLee/ Tweet : @HelloKevinLee Slide share : http://www.slideshare.net/KevinLee56 Blogs : HiKevinLee.tumbrl.com