challenges in classifying adverse events in cancer clinical trials

26
Challenges in Classifying Adverse Events in Cancer Clinical Trials Steven Joffe, MD, MPH Dave Harrington, PhD David Studdert, JD, PhD Saul Weingart, MD, PhD Damiana Maloof, RN

Upload: jules

Post on 23-Mar-2016

32 views

Category:

Documents


0 download

DESCRIPTION

Challenges in Classifying Adverse Events in Cancer Clinical Trials. Steven Joffe, MD, MPH Dave Harrington, PhD David Studdert, JD, PhD Saul Weingart, MD, PhD Damiana Maloof, RN . Disclosure. Member of clinical trial adverse event review board for Genzyme Corp (not oncology-related). - PowerPoint PPT Presentation

TRANSCRIPT

Page 1: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Challenges in Classifying Adverse Events in Cancer

Clinical Trials

Steven Joffe, MD, MPHDave Harrington, PhD

David Studdert, JD, PhDSaul Weingart, MD, PhD

Damiana Maloof, RN

Page 2: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Disclosure

• Member of clinical trial adverse event review board for Genzyme Corp (not oncology-related)

Page 3: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Adverse Events in Clinical Trials

• Adverse events (AEs) are critically important outcomes of clinical trials– Human subjects protection– Endpoints for judgments about benefits &

risks of study interventions

• Captured on Case Report Forms• Reported to oversight agencies

Page 4: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Components of AE Assessment

• Type• Severity• Relatedness to study agent(s)• Expectedness

Page 5: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Components of AE Assessment

• Type• Severity• Relatedness to study agent(s)• Expectedness

Global judgment about reportability to IRB

Page 6: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Reporting Criteria(to Dana-Farber IRB)

• Grade 5 (fatal)• Grade 4, unless specifically exempted• Grade 2/3, if unexpected AND possibly,

probably or definitely related

• Virtually identical to NCI’s Adverse Event Expedited Reporting System (AdEERS) criteria

Page 7: Challenges in Classifying Adverse Events in Cancer Clinical Trials

AE Grading in Oncology• NCI’s Common Terminology Criteria for

Adverse Events (CTCAE) typically used– Effort to standardize nomenclature– developed by consensus methods; no formal

process to establish reliability of grading

http://ctep.cancer.gov/protocolDevelopment/electronic_applications/ctc.htm#ctc_v30

Page 8: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Aims1. To assess the validity of physician reviewers’

determinations about whether AEs in cancer trials meet IRB reporting criteria

2. To assess the interrater reliability of reviewers’ determinations about whether AEs that occur in cancer trials meet IRB reporting criteria

3. To assess the validity and reliability of revie-wers’ judgments about the components of AEs

Page 9: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Study Methods

Page 10: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Panelists’ Roles

• Review primary data from criterion sets of AEs

• Rate each AE:– Classification– Grade– Relatedness– Expectedness– Reportable to IRB

} from CTCAE

Page 11: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Panelist DemographicsExpert Panel

(n=3)Second Panel

(n=10)

Years since fellowship trainingMean 20 yrs 6.3 yrs

Range 10 – 32 yrs 2 – 17 yrs

Academic rankInstructor / Asst Prof 1 10

Assoc Prof / Prof 2 0

Page 12: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Panelists’ Experience

Expert Panel(n=3)

Second Panel(n=10)

Clinical trials served as overall Principal Investigator0 – 5 0 7

≥ 6 3 3

Clinical trials served as PI, site PI, or Co-Investigator 0 – 5 0 2

6 – 20 0 3

>20 3 5

Page 13: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Panelists’ ExperienceExpert Panel

(n=3)Second Panel

(n=10)Patients personally enrolled in a clinical trial during past 3 years

0 – 10 0 1

11 – 30 1 4

>30 2 5

Adverse event reports personally filed with the IRB during past 3 years0 – 10 1 6

11 – 30 0 1

>30 2 3

Page 14: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Statistical Analysis

• Validity of judgments regarding reportability to IRB– % agreement with gold standard

• Interrater reliability of raters’ judgments– Kappa coefficients

Page 15: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Results

Page 16: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Criterion Set of AEsType of AE Grad

eRelated Expected Reportable

High triglycerides 4 Definite Y YOsteonecrosis 3 Definite Y NSensory neuropathy 1 Probable Y NCardiac ischemia 4 Possible Y YRash 2 Probable Y NThrombosis 4 Unlikely N YHigh uric acid 4 Probable N YCardiac dysfunction 2 Definite Y NThrombotic thrombo- cytopenic purpura 4 Possibly N Y

Renal failure 4 Definite Y Y

Page 17: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Validity of Judgments Regarding Reportability to IRB

Adverse Event Not Reportable Reportable % Agree1. High triglycerides 0 10 1002. Osteonecrosis 6 4 60

3. Sensory neuropathy 10 0 1004. Cardiac ischemia 0 10 1005. Rash 9 1 90

6. Thrombosis 0 10 1007. High uric acid 0 10 1008. Cardiac dysfunction 8 2 809. TTP 0 10 10010. Renal failure 0 10 100

TOTAL 93%

Page 18: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Interrater Reliability of Panelists’ Judgments

Judgment Kappa P value

Reportability 0.75 <0.0001

Grade 0.52 <0.0001

Relatedness 0.22 <0.0001

Expectedness 0.88 <0.0001

Page 19: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Role of Experience: Rank

Kappa

Page 20: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Role of Experience: Service as PI

Kappa

Page 21: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Role of Experience: Number of AE Reports Filed

Kappa

Page 22: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Conclusions• Oncologists’ judgments about whether or not

AEs require reporting to the IRB show high agreement with gold standard

• Interrater reliability of oncologists’ judgments about components of AEs varies– High: expectedness of AE; need for reporting– Moderate: grade of AE– Low: relationship of AE to study agents

Page 23: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Limitations• Small sample sizes

– Criterion set of AEs– Panel of physician reviewers

• Generalizability of set of AEs

• Reviewers may not reflect population of investigators who file AE reports

• Judgments based on document review rather than on firsthand knowledge

Page 24: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Thoughts About Direction of Bias in Agreement Statistics

• Factors biasing towards less agreement– Reviewer experience

• Factors biasing towards greater agreement– Standardized set of documents for review– Criterion set selected based on maximum

agreement among expert panel reviewers

Page 25: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Implications• Judgments about AEs are complex

– Human subjects: efforts to enhance reliability, or to minimize reliance on judgments about causation, are needed

– Science: toxicity data from uncontrolled trials may be misleading

– RCR: education about need for reporting is important but insufficient

Page 26: Challenges in Classifying Adverse Events in Cancer Clinical Trials

Acknowledgments• Debra Morley• Anna Mattson-DiCecca• Physician panelists

• ORI• NCI• Milton Fund