Evidence map›Paper›PMID 28027518›Full record

ReviewEuropean journal of cancer (Oxford, England : 1990)2017

Impact of industry collaboration on randomised controlled trials in oncology.

Anne Linker, Annie Yang, Nitin Roper, Evans Whitaker, Deborah Korenstein

Abstract readReview
In one paragraph

Review in European journal of cancer (Oxford, England : 1990), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed, 1 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

14 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. The Invisible Hand of Industry.Clinical obstetrics and gynecology · 2022
    Article
  7. Article
  8. Article
  9. Article
  10. Article
  11. Pharmacovigilance in oncology.International journal of clinical pharmacy · 2018
    Review
  12. Article
  13. Review
  14. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Anne LinkerUniversity of California San Francisco, 631 Diamond Street, San Francisco, CA 94114, USA. Electronic address: Anne.linker@ucsf.edu.
Annie YangCenter for Health Policy and Outcomes, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY 10017, USA. Electronic address: yanga1@mskcc.org.
Nitin RoperNational Institutes of Health/National Cancer Institute, 10 Center Drive, Bethesda, MD 20892, USA. Electronic address: Nitin.roper@nih.gov.
Evans WhitakerLibrary and Center for Knowledge Management, University of California San Francisco, 530 Parnassus Avenue, San Francisco, CA 94143, USA. Electronic address: Evans.whitaker@ucsf.edu.
Deborah KorensteinDepartment of Medicine, Memorial Sloan Kettering Cancer Center, 485 Lexington Avenue, 2nd Floor, New York, NY 10017, USA. Electronic address: korenstd@mskcc.org.

Funding

X-RAY CRYSTALLOGRAPHYP30CA008748 · NCI · SLOAN-KETTERING INSTITUTE FOR CANCER RES · PI Nicholas D Socci · 1985 to 2026
$347.4M
NCI NIH HHS P30 CA008748
6 · The paper itself

Abstract

backgroundIndustry funders can simply provide money or collaborate in trial design, analysis or reporting of clinical trials. Our aim was to assess the impact of industry collaboration on trial methodology and results of randomised controlled trials (RCT).

methodsWe searched PubMed for oncology RCTs published May 2013 to December 2015 in peer-reviewed journals with impact factor > 5 requiring reporting of funder role. Two authors extracted methodologic (primary end-point; blinding of the patient, clinician and outcomes assessor; and analysis) and outcome data. We used descriptive statistics and two-sided Fisher exact tests to compare characteristics of trials with collaboration, with industry funding only, and without industry funding.

resultsWe included 224 trials. Compared to those without industry funding, trials with collaboration used more placebo control (RR 3·59, 95% CI [1·88-6·83], p < 0001), intention-to-treat analysis (RR 1·32, 95% CI [1·04-1·67], p = 02), and blinding of patients (RR 3·05, 95% CI [1·71-5·44], p < 0001), clinicians (RR 3·36, 95% CI [1·83-6·16], p≤·001) and outcomes assessors (RR 3·03, 95% CI [1·57-5·83], p = 0002). They did not differ in use of overall survival as a primary end-point (RR 1·27 95% CI [0·72-2·24]) and were similarly likely to report positive results (RR 1·11 95% CI [0·85-1·46], p = 0.45). Studies with funding only did not differ from those without funding.

conclusionsOncology RCTs with industry collaboration were more likely to use some high-quality methods than those without industry funding, with similar rates of positive results. Our findings suggest that collaboration is not associated with trial outcomes and that mandatory disclosure of funder roles may mitigate bias.

Indexed as

Drug IndustryResearch Support as TopicCapital FinancingConflict of InterestHumansIntention to Treat AnalysisPlacebosRandomized Controlled Trials as TopicResearch DesignSurvival AnalysisTreatment OutcomePlacebosCollaborationConflict of interestDisclosureDrug industryRandomised controlled trials

Identifiers

PMID28027518
PMCPMC5258680

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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.