Related Experiment Video
Updated: Jun 20, 2026

Inverse Probability of Treatment Weighting (Propensity Score) using the Military Health System Data Repository and National Death Index
Published on: January 8, 2020
Constructing common cohorts from trials with overlapping eligibility criteria: implications for comparing effect
David L Mount1, Patricia Feeney, Anthony N Fabricatore
1Wake Forest University School of Medicine, Winston-Salem, NC, USA.
Comparing clinical trial results is crucial for treatment decisions. However, significant differences in participant populations between the Look AHEAD and ACCORD trials limit the feasibility of direct cross-trial comparisons for type 2 diabetes interventions.
Area of Science:
- Cardiology
- Endocrinology
- Clinical Trials Methodology
Background:
- Comparing findings from separate clinical trials is essential for treatment selection.
- Differences in study cohorts across trials can hinder direct comparisons.
Purpose of the Study:
- To examine cohort overlap between the Look AHEAD and ACCORD trials.
- To assess the feasibility of cross-trial comparisons for cardiovascular disease interventions in adults with type 2 diabetes.
Main Methods:
- Compared eligibility criteria and participant characteristics between the Look AHEAD and ACCORD trials.
- Constructed a sample of participants from each trial who met the other trial's eligibility criteria.
- Analyzed demographic, health status, and outcome differences between eligible and ineligible participants.
Main Results:
- Nearly 80% of Look AHEAD participants were ineligible for ACCORD, often due to better glycemic control or lack of prior cardiovascular disease.
- Approximately 30% of ACCORD participants were ineligible for Look AHEAD, frequently due to poorer health status.
- Even jointly eligible participants showed differences impacting retention, adherence, and outcomes.
Conclusions:
- Differences in study protocols significantly hampered accurate cross-trial eligibility assessment.
- The Look AHEAD and ACCORD cohorts represent distinct populations, compromising direct comparisons of lifestyle and pharmacologic interventions.
Related Concept Videos
Comparing the Survival Analysis of Two or More Groups
Crossover Experiments
Crossover designs are performed even with smaller sample sizes since the samples can act as their controls. These are better than simple randomized trials since patients are exposed to all the treatments.
Study Designs in Epidemiology
Observational studies are those where the researcher does not intervene but rather observes natural variations. They include cross-sectional, cohort, and case-control studies.
Clinical Trials
There are four phases in a clinical trial. A phase one...
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs
Types of Biopharmaceutical Studies: Controlled and Non-Controlled Approaches
Non-controlled studies, commonly employed for initial exploration, lack a control group, rendering them susceptible to biases and external influences. In contrast, controlled...