ArticleThe New England journal of medicine2012
A randomized study of how physicians interpret research funding disclosures.
Article in The New England journal of medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 55 papers, 3 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
55 citing papers in PubMed, 3 syntheses or guidelines pooled it.
- Strengthening the reporting of observational studies in epidemiology using Mendelian randomization (STROBE-MR): a Korean translation of explanation and elaboration.Ewha medical journal · 2025Guideline
- Pooled it
- Disclosing conflicts of interest in patient decision aids.BMC medical informatics and decision making · 2013Pooled it
- Physician Interpretation of Data of Uncertain Clinical Utility in Oncology Prescription Drug Promotion.The oncologist · 2021Trial
- Effect of revealing authors' conflicts of interests in peer review: randomized controlled trial.BMJ (Clinical research ed.) · 2019Trial
- The effects of industry funding and positive outcomes in the interpretation of clinical trial results: a randomized trial among Dutch psychiatrists.BMC medical ethics · 2019Trial
- Trial
- Are Disease Awareness Links on Prescription Drug Websites Misleading? A Randomized Study.Journal of health communication · 2016Trial
- Trial
- Impact of adding a limitations section to abstracts of systematic reviews on readers' interpretation: a randomized controlled trial.BMC medical research methodology · 2014Trial
- Trial
- Stakeholder views about the responsibilities of principal investigators in multicenter randomized controlled trials.Clinical trials (London, England) · 2026Article
- Article
- Insights of Healthcare Professionals into Medical Writing Support at a Tertiary Care Hospital in Saudi Arabia.Cureus · 2024Article
- REPRESENTATION AND EXTRAPOLATION: EVIDENCE FROM CLINICAL TRIALSThe quarterly journal of economics · 2024Article
- Influence of data disclosures on physician decisions about off-label uses: findings from a qualitative study.BMC primary care · 2022Article
- The impact of mandatory conflict of interest disclosures on editors' manuscript acceptance decisions: A cross-sectional observational study.Journal of the American College of Emergency Physicians open · 2022Article
- Strengthening the reporting of observational studies in epidemiology using mendelian randomisation (STROBE-MR): explanation and elaboration.BMJ (Clinical research ed.) · 2021Article
- Drugs Becoming Generics-The Impact of Genericization on the Market Performance of Antihypertensive Active Pharmaceutical Ingredients.International journal of environmental research and public health · 2021Article
- Outcomes in CME/CPD - Special Collection: How to make the "pyramid" a perpetuum mobile.Journal of European CME · 2020Article
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Authors and funding
9 authors.
Funding
Abstract
backgroundThe effects of clinical-trial funding on the interpretation of trial results are poorly understood. We examined how such support affects physicians' reactions to trials with a high, medium, or low level of methodologic rigor.
methodsWe presented 503 board-certified internists with abstracts that we designed describing clinical trials of three hypothetical drugs. The trials had high, medium, or low methodologic rigor, and each report included one of three support disclosures: funding from a pharmaceutical company, NIH funding, or none. For both factors studied (rigor and funding), one of the three possible variations was randomly selected for inclusion in the abstracts. Follow-up questions assessed the physicians' impressions of the trials' rigor, their confidence in the results, and their willingness to prescribe the drugs.
resultsThe 269 respondents (53.5% response rate) perceived the level of study rigor accurately. Physicians reported that they would be less willing to prescribe drugs tested in low-rigor trials than those tested in medium-rigor trials (odds ratio, 0.64; 95% confidence interval [CI], 0.46 to 0.89; P=0.008) and would be more willing to prescribe drugs tested in high-rigor trials than those tested in medium-rigor trials (odds ratio, 3.07; 95% CI, 2.18 to 4.32; P<0.001). Disclosure of industry funding, as compared with no disclosure of funding, led physicians to downgrade the rigor of a trial (odds ratio, 0.63; 95% CI, 0.46 to 0.87; P=0.006), their confidence in the results (odds ratio, 0.71; 95% CI, 0.51 to 0.98; P=0.04), and their willingness to prescribe the hypothetical drugs (odds ratio, 0.68; 95% CI, 0.49 to 0.94; P=0.02). Physicians were half as willing to prescribe drugs studied in industry-funded trials as they were to prescribe drugs studied in NIH-funded trials (odds ratio, 0.52; 95% CI, 0.37 to 0.71; P<0.001). These effects were consistent across all levels of methodologic rigor.
conclusionsPhysicians discriminate among trials of varying degrees of rigor, but industry sponsorship negatively influences their perception of methodologic quality and reduces their willingness to believe and act on trial findings, independently of the trial's quality. These effects may influence the translation of clinical research into practice.
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What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.