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Prevalence and implications of significance testing for baseline covariate imbalance in randomised cancer clinical trials: The Table 1 Fallacy

Alexander D. Sherry, Pavlos Msaouel, Zachary R. McCaw, Joseph Abi Jaoude, Eric J. Hsu, Ramez Kouzy, Roshal R. Patel, Yumeng Yang, Timothy A. Lin, Cullen M. Taniguchi, Claus Rödel, Emmanouil Fokas, Chad Tang, Clifton D. Fuller, Bruce D. Minsky, Tomer Meirson, Ryan Sun, Ethan B. Ludmir

2023European Journal of Cancer18 citationsDOIOpen Access PDF

Abstract

BACKGROUND: The 'Table 1 Fallacy' refers to the unsound use of significance testing for comparing the distributions of baseline variables between randomised groups to draw erroneous conclusions about balance or imbalance. We performed a cross-sectional study of the Table 1 Fallacy in phase III oncology trials. METHODS: From ClinicalTrials.gov, 1877 randomised trials were screened. Multivariable logistic regressions evaluated predictors of the Table 1 Fallacy. RESULTS: A total of 765 randomised controlled trials involving 553,405 patients were analysed. The Table 1 Fallacy was observed in 25% of trials (188 of 765), with 3% of comparisons deemed significant (59 of 2353), approximating the typical 5% type I error assertion probability. Application of trial-level multiplicity corrections reduced the rate of significant findings to 0.3% (six of 2345 tests). Factors associated with lower odds of the Table 1 Fallacy included industry sponsorship (adjusted odds ratio [aOR] 0.29, 95% confidence interval [CI] 0.18-0.47; multiplicity-corrected P < 0.0001), larger trial size (≥795 versus <280 patients; aOR 0.32, 95% CI 0.19-0.53; multiplicity-corrected P = 0.0008), and publication in a European versus American journal (aOR 0.06, 95% CI 0.03-0.13; multiplicity-corrected P < 0.0001). CONCLUSIONS: This study highlights the persistence of the Table 1 Fallacy in contemporary oncology randomised controlled trials, with one of every four trials testing for baseline differences after randomisation. Significance testing is a suboptimal method for identifying unsound randomisation procedures and may encourage misleading inferences. Journal-level enforcement is a possible strategy to help mitigate this fallacy.

Topics & Concepts

FallacyMedicineConfidence intervalOdds ratioClinical trialConfoundingOddsStatistical significanceRandomized controlled trialLogistic regressionSample size determinationInternal medicineStatisticsMathematicsEpistemologyPhilosophyStatistical Methods in Clinical TrialsMeta-analysis and systematic reviewsCancer Treatment and Pharmacology
Prevalence and implications of significance testing for baseline covariate imbalance in randomised cancer clinical trials: The Table 1 Fallacy | Litcius