Regional Variations in Clinical Trial Outcomes in Oncology

Author:

Wilson Brooke E.12,Pearson Sallie-Anne34,Barton Michael B.1,Amir Eitan2

Affiliation:

1. 1Collaboration for Cancer Outcomes, Research and Evaluation, South West Clinical School, University of New South Wales, Liverpool, New South Wales, Australia;

2. 2Princess Margaret Hospital, University of Toronto, Toronto, Ontario, Canada;

3. 3Centre for Big Data Research in Health, UNSW, Sydney, Australia; and

4. 4Menzies Centre for Health Policy, University of Sydney, Sydney, Australia.

Abstract

Background: It is unknown how often regional differences in oncology trials are observed. Based on our study findings, we quantified regional variation in registration studies in oncology and developed a question guide to help clinicians evaluate regional differences. Methods: Using FDA archives, we identified registration studies in solid tumor malignancies from 2010 to 2020. We extracted the baseline study characteristics and participating countries and determined whether the primary publication reported a regional subgroup analysis. For studies presenting outcomes stratified by region, we extracted the stratified hazard ratios (HRs) and extracted or calculated the test for heterogeneity. We performed a random effects meta-analysis and a pairwise comparison to determine whether outcomes differed between high-income versus mixed-income regions. Results: We included 147 studies in our final analysis. Studies supporting FDA drug approval have become increasingly multinational over time (β = 0.5; P=.04). The median proportion of countries from high-income groups was 81.2% (range, 44%–100%), with no participation from low-income countries in our cohort. Regional subgroup analysis was presented for 78 studies (53%). Regional heterogeneity was found in 17.8% (8/45) and 18% (8/44) of studies presenting an overall survival (OS) and progression-free survival endpoint, respectively. After grouping regions by income level, we found no difference in OS outcomes in high-income regions compared with mixed-income regions (n=20; HR, 0.95; 95% CI, 0.84–1.07). To determine whether regional variation is genuine, clinicians should evaluate the data according to the following 5 questions: (1) Are the regional groupings logical? (2) Is the regional difference on an absolute or relative scale? (3) Is the regional difference consistent and plausible? (4) Is the regional difference statistically significant? (5) Is there a clinical explanation? Conclusions: As registration studies in oncology become increasingly international, regional variations in trial outcomes may be detected. The question guide herein will help clinicians determine whether regional variations are likely to be clinically meaningful or statistical anomalies.

Publisher

Harborside Press, LLC

Subject

Oncology

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