The DOI matches its Crossref record; 68 of the 68 references it cites were found in a registry or an index.
Association of Funding and Conclusions in Randomized Drug Trials: A Reflection of Treatment Effect or Adverse Events?
Abstract
CONTEXT: Previous studies indicate that industry-sponsored trials tend to draw proindustry conclusions. OBJECTIVE: To explore whether the association between funding and conclusions in randomized drug trials reflects treatment effects or adverse events. DESIGN: Observational study of 370 randomized drug trials included in meta-analyses from Cochrane reviews selected from the Cochrane Library, May 2001. From a random sample of 167 Cochrane reviews, 25 contained eligible meta-analyses (assessed a binary outcome; pooled at least 5 full-paper trials of which at least 1 reported adequate and 1 reported inadequate allocation concealment). The primary binary outcome from each meta-analysis was considered the primary outcome for all trials included in each meta-analysis. The association between funding and conclusions was analyzed by logistic regression with adjustment for treatment effect, adverse events, and additional confounding factors (methodological quality, control intervention, sample size, publication year, and place of publication). MAIN OUTCOME MEASURE: Conclusions in trials, classified into whether the experimental drug was recommended as the treatment of choice or not. RESULTS: The experimental drug was recommended as treatment of choice in 16% of trials funded by nonprofit organizations, 30% of trials not reporting funding, 35% of trials funded by both nonprofit and for-profit organizations, and 51% of trials funded by for-profit organizations (P<.001; chi2 test). Logistic regression analyses indicated that funding, treatment effect, and double blinding were the only significant predictors of conclusions. Adjusted analyses showed that trials funded by for-profit organizations were significantly more likely to recommend the experimental drug as treatment of choice (odds ratio, 5.3; 95% confidence interval, 2.0-14.4) compared with trials funded by nonprofit organizations. This association did not appear to reflect treatment effect or adverse events. CONCLUSIONS: Conclusions in trials funded by for-profit organizations may be more positive due to biased interpretation of trial results. Readers should carefully evaluate whether conclusions in randomized trials are supported by data.
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“The conclusions in randomised trials recommended the experimental drug as the drug of choice much more often (odds ratio 5.3) if the trial was funded by for-profit organisations, even after adjustment for the effect size [ 223 ].”
From Strengthening the Reporting of Observational Studies in Epidemiology (STROBE): Explanation and Elaboration (2007) · cites this paper as [223]
In the citing paper
“Lexchin and colleagues [166] observed that outcomes of reports of randomized trials and meta-analyses of clinical trials funded by the pharmaceutical industry are more likely to favor the sponsor's product compared to studies with other sources of funding.”
From The PRISMA Statement for Reporting Systematic Reviews and Meta-Analyses of Studies That Evaluate Health Care Interventions: Explanation and Elaboration (2009) · cites this paper as [167]
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Metadata
- Authors
- Als-Nielsen, B., Chen, W., Gluud, C., & Kjaergard, L. L.
- Affiliations
- Copenhagen University Hospital (DK)
- Venue
- JAMA
- Publisher
- American Medical Association (AMA)
- Published
- 2003-08-20
- Volume
- 290
- Issue
- 7
- Pages
- 921
- ISSN
- 0002-9955 (ISSN-L)
- 0098-7484
- OpenAlex
- W2142947341
- Cited by
- 746
- References
- 68
- Citations by year
- 2026: 12 · 2025: 9 · 2024: 10 · 2023: 15 · 2022: 27 · 2021: 22 · 2020: 18 · 2019: 9 · 2018: 27 · 2017: 30 · 2016: 20 · 2015: 26 · 2014: 37 · 2013: 53 · 2012: 46
- FWCI
- 34.42
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- JAMA (publishedVersion)
- PubMed (publishedVersion)
- DigitalGeorgetown (Georgetown University Library) (submittedVersion)
- Topics
- Health Sciences › Nursing › Issues, ethics and legal aspects › Pharmaceutical industry and healthcare
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods in Clinical Trials
- Social Sciences › Decision Sciences › Statistics, Probability and Uncertainty › Meta-analysis and systematic reviews
- Keywords
- industry funding, pharmaceutical industry funding, nonprofit funding, treatment guidelines, allocation concealment, double blinding, meta-analysis
- MeSH terms
- Drug Evaluation, Drug Industry, Organizations, Nonprofit, Research Support as Topic, Meta-Analysis as Topic, Bias, Logistic Models, Randomized Controlled Trials as Topic, Treatment Outcome
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