Survival-inferred fragility of statistical significance in phase III oncology trials

In phase III oncology trials, superiority is defined by statistical significance using P thresholds. However, this approach has been criticized because P is continuous. Here, we reconstruct patient-level data for 230 phase III oncology trials to model the robustness of statistical significance by estimating the survival-inferred fragility index (SIFI), defined as the smallest number of patients changing arms that alters the statistical significance interpretation. The median SIFI was 8 patients (IQR 4-19), representing 1.4% of enrollments (IQR 0.7%-3%). As a continuous statistic, P-but not the significance interpretation-was correlated with SIFI. Moreover, overall survival endpoints were more fragile than surrogate endpoints. Taken together, while phase III oncology trials are intended to robustly inform patient care, shifting the assignment of a few patients is often sufficient to upend the statistical significance interpretation. This vulnerability underscores the need for more robust strategies to identify superiority in oncology.

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Publication Details

Journal
npj Precision Oncology
Published
2025-07-24
DOI
https://doi.org/10.1038/s41698-025-01024-2
Primary Topic
Statistical Methods in Clinical Trials
Type
article
Field-Weighted Citation Impact
0.00

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article

Survival-inferred fragility of statistical significance in phase III oncology trials

Timothy A. Lin, Alexander D. Sherry, Ethan B. Ludmir, Yufei Liu et al.
npj Precision Oncology
Statistical Methods in Clinical Trials
article

Survival-inferred fragility of statistical significance in phase III oncology trials

Timothy A. Lin, Alexander D. Sherry, Ethan B. Ludmir, Yufei Liu, Zachary R. McCaw, David Bomze, Joseph Abi Jaoude, Christine Lin, Ramez Kouzy, Molly B. El Alam, Alex Koong, Pavlos Msaouel, Roshal R. Patel, Jonathan Ofer, Tomer Meirson, Avital M. Miller, Mohannad Owiwi
article en

Abstract

In phase III oncology trials, superiority is defined by statistical significance using P thresholds. However, this approach has been criticized because P is continuous. Here, we reconstruct patient-level data for 230 phase III oncology trials to model the robustness of statistical significance by estimating the survival-inferred fragility index (SIFI), defined as the smallest number of patients changing arms that alters the statistical significance interpretation. The median SIFI was 8 patients (IQR 4-19), representing 1.4% of enrollments (IQR 0.7%-3%). As a continuous statistic, P-but not the significance interpretation-was correlated with SIFI. Moreover, overall survival endpoints were more fragile than surrogate endpoints. Taken together, while phase III oncology trials are intended to robustly inform patient care, shifting the assignment of a few patients is often sufficient to upend the statistical significance interpretation. This vulnerability underscores the need for more robust strategies to identify superiority in oncology.

npj Precision OncologyVol. 9(1)
University of North Carolina at Chapel Hill (US), City Of Hope National Medical Center (US), Memorial Sloan Kettering Cancer Center (US), The University of Texas MD Anderson Cancer Center (US), Tel Aviv University (IL), Rabin Medical Center (IL), Jerusalem Mental Health Center (IL), Stanford University (US)
Andrew Sabin Family Foundation, National Institutes of Health, University of Texas MD Anderson Cancer Center, National Cancer Institute
Zero hunger
Openalex Percentile: Top 82%
Statistical Methods in Clinical Trials
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