Table 5.
Model | No. of Authors | Adjusted Odds of Reporting Financial Ties | 99% CI | P |
---|---|---|---|---|
All studies | 2,927 | 4.3 | 3.0 to 6.0 | < .0001 |
Subgroup analyses | ||||
Industry-sponsored studies | 1,518 | 5.0 | 3.4 to 7.5 | < .0001 |
Non–industry-sponsored studies | 1,409 | 2.5 | 1.3 to 4.8 | .0002 |
Sensitivity analyses | ||||
Exclusion of research funding from the financial ties composite dependent variable* | 2,927 | 4.4 | 3.1 to 6.3 | < .0001 |
Exclusion of sponsor employees from the analysis | 2,742 | 3.6 | 2.5 to 5.1 | < .0001 |
Satisfaction of ICMJE authorship criteria rather than key role as the independent variable† | 2,927 | 3.6 | 2.6 to 5.0 | < .0001 |
NOTE. Each cell reports the results of a separate generalized linear mixed model (PROC NLMIXED in PC-SAS) that tests the association between existence of a financial tie and performance of at least one key authorship role. All models adjust for age of study participants (adult v pediatric), and corresponding author address (United States v other). Models that include all studies also adjust for source of funding (industry v nonindustry).
Abbreviation: ICMJE, International Committee of Medical Journal Editors.
We repeated the main model after removing research funds from the financial ties composite variable.
We used satisfaction of ICMJE authorship criteria, rather than the study-defined key-role variable, as the main independent variable of interest.