Cited by 110Statistical Methods in Clinical TrialsMeta-analysis and systematic reviewsStatistical Methods in Epidemiology

When are ‘positive’ clinical trials in oncology truly positive?

Ocana, A., Tannock, I. F.·2011·JNCI Journal of the National Cancer Institute

Abstract

The approval of a new drug for cancer treatment by the regulatory authorities, such as the United States Food and Drug Administration or European Medicines Agency, is usually based on the positive results of one or more randomized phase III clinical trials comparing the investigational treatment with the standard treatment. A clinical trial is presented as positive if the new drug tested on an experimental group shows a statistically significant difference with the control group (P < .05) in the primary endpoint, which is usually a time-to-event endpoint (overall survival or progression-free survival). Such apparently positive clinical trials disregard whether the final value of the difference in the primary endpoints between the experimental and control groups (δ) meets the criterion that was predefined in the protocol. Currently, the trend is to design large trials that may detect statistically significant, but often trivial, differences in survival endpoints. However, recent appeals have been made in the oncology literature for the design of smaller clinical trials to detect or exclude only larger, clinically important, values of δ. Here, we have evaluated 18 randomized phase III clinical trials that were used for the approval of molecular-targeted anticancer drugs by the United States Food and Drug Administration. Results showed that in some of the articles the magnitude of the reported values of δ were lower than the values predefined in the protocol. We suggest that trials should not be declared positive based only on a statistically significant P value, but should also require detection of a difference in survival outcome that equals or exceeds a clinically important value that is specified in the protocol.

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Authors
Ocana, A., & Tannock, I. F.
Affiliations
University of Toronto (CA)
Venue
JNCI Journal of the National Cancer Institute
Published
2010-12-03
Volume
103
Issue
1
Pages
16-20
ISSN
  • 0027-8874 (ISSN-L)
  • 1460-2105
OpenAlex
W2115837083
Cited by
110
References
32
Citations by year
2025: 1 · 2024: 2 · 2023: 1 · 2022: 1 · 2021: 5 · 2020: 3 · 2019: 15 · 2018: 9 · 2017: 9 · 2016: 7 · 2015: 10 · 2014: 14 · 2013: 10 · 2012: 13
FWCI
9.00
Type
journal article
Language
en
Open access
closed
Locations
  • JNCI Journal of the National Cancer Institute (publishedVersion)
  • PubMed (publishedVersion)
  • HighWire Press Open Archive (submittedVersion)
Topics
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
  • Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
  • Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Epidemiology
Keywords
oncology drug approval, clinically important difference, statistical significance, time-to-event outcomes, overall survival, progression-free survival, trial design, FDA drug approval
MeSH terms
Antineoplastic Agents, Data Interpretation, Statistical, Europe, Humans, Neoplasms, Quality of Life, United States, United States Food and Drug Administration, Odds Ratio, Survival Analysis, Randomized Controlled Trials as Topic, Treatment Outcome, Drug Approval, Clinical Trials, Phase III as Topic, Sample Size

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