Evidence map›Paper›PMID 22992075›Full record

ArticleThe New England journal of medicine2012

A randomized study of how physicians interpret research funding disclosures.

Aaron S Kesselheim, Christopher T Robertson, Jessica A Myers, Susannah L Rose, Victoria Gillet, Kathryn M Ross, Robert J Glynn, Steven Joffe, Jerry Avorn

Abstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
55citing papers in PubMed, 3 pooled it
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

55 citing papers in PubMed, 3 syntheses or guidelines pooled it.

  1. Guideline
  2. Pooled it
  3. Disclosing conflicts of interest in patient decision aids.BMC medical informatics and decision making · 2013
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  15. REPRESENTATION AND EXTRAPOLATION: EVIDENCE FROM CLINICAL TRIALSThe quarterly journal of economics · 2024
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors.

Aaron S KesselheimDivision of Pharmacoepidemiology and Pharmacoeconomics, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts 02120, USA. akesselheim@partners.org
Christopher T Robertson
Jessica A Myers
Susannah L Rose
Victoria Gillet
Kathryn M Ross
Robert J Glynn
Steven Joffe
Jerry Avorn

Funding

Program in Cancer Research Outcomes Training (PCORT)R25CA092203 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI GAZELLE, G SCOTT · 2002 to 2016
$8.2M
Off-label prescribing: Comparative evidence, regulation, and utilizationK08HS018465 · AHRQ · BRIGHAM AND WOMEN'S HOSPITAL · PI KESSELHEIM, AARON SETH · 2009 to 2013
$797k
AHRQ HHS K08 HS018465AHRQ HHS K08HS18465-01NCI NIH HHS 2R25CA092203-08NCI NIH HHS R25 CA092203
6 · The paper itself

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.

Indexed as

Research Support as TopicData CollectionDrug EvaluationDrug IndustryHumansInternal MedicineNational Institutes of Health (U.S.)PhysiciansRegression AnalysisResearch DesignUnited States

Identifiers

PMID22992075
PMCPMC3538846

What OpenQuestion holds

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Registered trials

None linked

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.