TY - JOUR
T1 - Inferences about drug safety in phase III trials in oncology
T2 - Examples from advanced prostate cancer
AU - Drago, Joshua Z.
AU - Gönen, Mithat
AU - Thanarajasingam, Gita
AU - Sacks, Chana A.
AU - Morris, Michael J.
AU - Kantoff, Philip W.
AU - Stopsack, Konrad H.
N1 - Funding Information:
This work was supported in part by a National Cancer Institute Cancer Center Support Grant (P30CA008748), the Department of Defense (Early Investigator Research Award W81XWH-18-1-0330 to KHS), and the Prostate Cancer Foundation (Young Investigator Award to KHS).
Publisher Copyright:
© 2020 The Author(s). Published by Oxford University Press. All rights reserved.
PY - 2021/5/1
Y1 - 2021/5/1
N2 - Background: Safety is a central consideration when choosing between multiple medications with similar efficacy. We aimed to evaluate whether adverse event (AE) profiles of 3 such drugs in advanced prostate cancer could be distinguished based on published literature. Methods: We assessed consistency in AE reporting, AE risk in placebo arms, and methodology used for risk estimates and quantification of statistical uncertainty in randomized placebo-controlled phase III trials of apalutamide, enzalutamide, and darolutamide in advanced prostate cancer. Results: Seven included clinical trials enrolled a total of 9215 participants (range = 1051-1715 per trial) across 3 prostate cancer disease states. Within disease states, baseline patient characteristics appeared similar between trials. Of 54 distinct AE types in total, only 3 (fatigue, hypertension, and seizure) were reported by all 7 trials. Absolute risks of AEs in the placebo arms differed systematically and more than twofold between trials, which was associated with visit frequency and resulted in different degrees of uncertainty in AE profiles between trials. No trial used inferential methodology to quantify statistical uncertainty in AE risks, but 6 of 7 trials drew overall conclusions. Two trials concluded that there was no elevated AE risk because of the intervention, including the trial of darolutamide, which had the greatest statistical uncertainty. Conclusions: Rigorous comparison of drug safety was precluded by heterogeneity in AE reporting, variation in AE risks in the placebo arms, and lack of inferential statistical methodology, underscoring considerable opportunities to improve how AE data are collected, analyzed, and interpreted in oncology trials.
AB - Background: Safety is a central consideration when choosing between multiple medications with similar efficacy. We aimed to evaluate whether adverse event (AE) profiles of 3 such drugs in advanced prostate cancer could be distinguished based on published literature. Methods: We assessed consistency in AE reporting, AE risk in placebo arms, and methodology used for risk estimates and quantification of statistical uncertainty in randomized placebo-controlled phase III trials of apalutamide, enzalutamide, and darolutamide in advanced prostate cancer. Results: Seven included clinical trials enrolled a total of 9215 participants (range = 1051-1715 per trial) across 3 prostate cancer disease states. Within disease states, baseline patient characteristics appeared similar between trials. Of 54 distinct AE types in total, only 3 (fatigue, hypertension, and seizure) were reported by all 7 trials. Absolute risks of AEs in the placebo arms differed systematically and more than twofold between trials, which was associated with visit frequency and resulted in different degrees of uncertainty in AE profiles between trials. No trial used inferential methodology to quantify statistical uncertainty in AE risks, but 6 of 7 trials drew overall conclusions. Two trials concluded that there was no elevated AE risk because of the intervention, including the trial of darolutamide, which had the greatest statistical uncertainty. Conclusions: Rigorous comparison of drug safety was precluded by heterogeneity in AE reporting, variation in AE risks in the placebo arms, and lack of inferential statistical methodology, underscoring considerable opportunities to improve how AE data are collected, analyzed, and interpreted in oncology trials.
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U2 - 10.1093/jnci/djaa134
DO - 10.1093/jnci/djaa134
M3 - Article
C2 - 32857839
AN - SCOPUS:85106069200
SN - 0027-8874
VL - 113
SP - 553
EP - 561
JO - Journal of the National Cancer Institute
JF - Journal of the National Cancer Institute
IS - 5
ER -