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Trends and Predictors of Premature Termination of Cardiovascular Trials: A Systematic Review
Frederick Berro Rivera1, Nathan Ross B Bantayan2, John Vincent Magalong3
1Division of Cardiovascular Medicine, Mayo Clinic, Rochester, Minnesota, USA.
Background:
Premature termination of cardiovascular trials undermines evidence generation and wastes resources.
Objectives:
The objective of the study was to evaluate trends, predictors, and recruitment adequacy among prematurely terminated cardiovascular trials.
Methods:
We analyzed adult cardiovascular trials registered on ClinicalTrials.gov (2000-2025). Trial characteristics, early termination, and reported reasons were extracted. Computed low recruitment was defined as actual enrollment <80% of target. Multivariable logistic regression identified independent predictors of termination.
Results:
Among 19,191 trials, 2,202 (11.5%) were prematurely terminated. Low recruitment was the most common reported reason (946/2,202, 42.9%), yet 625/1,571 (39.9%) underenrolled trials did not report recruitment failure. Termination peaked in 2020 (155/1,033, 15.0%). Termination risk was the highest in early-phase trials (phases 1/2 or 2; 371/2,325, 16.0%) and lowest for behavioral/lifestyle interventions (146/2,998, 4.9%) and female-only trials (23/475, 4.8%). In multivariable analysis, small sample size (1-100 participants; OR: 3.37; 95% CI: 2.98-3.80) and later-phase trials (phase 2/3 or 3; OR: 1.69; 95% CI: 1.41-1.97) were associated with higher odds of termination, whereas behavioral/lifestyle interventions (OR: 0.40; 95% CI: 0.32-0.49), crossover designs (OR: 0.53; 95% CI: 0.42-0.65), and non-U.S. government funding (OR: 0.50; 95% CI: 0.31-0.78) were protective.
Conclusions:
More than 1 in 10 cardiovascular trials terminate early, most often due to poor recruitment, which is frequently under-reported. Improved feasibility assessment and transparent reporting are needed. (Trends and Predictors of Premature Termination of Cardiovascular Trials: A Systematic Review; CRD420251155096).
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