Related Experiment Video
Updated: Jul 18, 2026

Rapid Formation and Testing of Self-expanding NiTi Frames with a Small Form Factor Suitable for Minimally Invasive Implants
Published on: March 7, 2025
Industry-funded positive studies not associated with better design or larger size
Mary R A Cunningham1, Winston J Warme, Douglas C Schaad
1Department of Orthopaedics, University of Washington Medical Center, Seattle, WA 98195, USA.
Abstract:
Previous studies have associated commercial funding with positive outcomes in orthopaedic research. Those reports, however, failed to account for potential confounding variables that can lead to a disproportion of positive outcomes, including sample size, study design, and study quality. We tested the hypothesis that nonscientific factors (funding source, orthopaedic subspecialty, and geographic region of origin) are associated with positive study outcomes, but not the result of differences in study design, study quality, or sample size. All 747 abstracts presented at the 2004 American Academy of Orthopaedic Surgeons annual meeting underwent blinded analysis using previously published criteria. Studies that received commercial funding were more likely to conclude with positive outcomes. Subspecialty and country of origin were not associated with positive outcomes. Commercially funded studies were not more likely than non-funded studies to be well-designed. When control groups were used, those in commercially funded studies were not larger than those used in nonfunded studies. Our data suggest commercial funding was associated with positive outcomes, but we found no evidence to suggest commercially funded studies were better designed or larger than non-funded studies.
Related Concept Videos
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...
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.
Bioequivalence Experimental Study Designs: Repeated Measures, Cross-Over, Carry-Over, and Latin Square Designs