Evidence map›Paper›PMID 26792624›Full record

ArticleTrials2016

Characterisation of trials where marketing purposes have been influential in study design: a descriptive study.

Virginia Barbour, Druin Burch, Fiona Godlee, Carl Heneghan, Richard Lehman, Rafael Perera, Joseph S Ross, Sara Schroter

Abstract read
In one paragraph

Article in Trials, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
–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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Article
  5. Influence of pharmaceutical promotion on prescribers in Jordan.International journal of clinical pharmacy · 2020
    Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Virginia BarbourSchool of Medicine, Griffith University, Gold Coast campus, Parklands Drive, Southport, Queensland, 4222, Australia. v.barbour@griffith.edu.au.
Druin BurchJohn Radcliffe Hospital, Headley Way, Headington, Oxford, Oxfordshire, OX3 9DU, UK. druin.burch@gmail.com.
Fiona GodleeThe BMJ, BMA House, London, WC1H 9JR, UK. fgodlee@bmj.com.
Carl HeneghanDepartment of Primary Care Health Science, Centre for Evidence Based Medicine, New Radcliffe House, 2nd floor, Walton Street, Jericho, OX2 6NW, UK. carl.heneghan@phc.ox.ac.uk.
Richard LehmanDepartment of Primary Care Health Science, New Radcliffe House, 2nd floor, Walton Street, Jericho, OX2 6NW, UK. edgar.lehman@btinternet.com.
Rafael PereraDepartment of Primary Health Care, University of Oxford, Primary Health Care, Rosemary Rue Building, Old Road Campus, Oxford, OX3 7LF, UK. rafael.perera@phc.ox.ac.uk.
Joseph S RossDepartment of Medicine, Section of General Internal Medicine, Yale University School of Medicine, New Haven, CT, USA. joseph.ross@yale.edu.
Sara SchroterThe BMJ, BMA House, London, WC1H 9JR, UK. sschroter@bmj.com.

Funding

Impact of Publicity Reporting Hospital Outcome Measures for Older AdultsK08AG032886 · NIA · YALE UNIVERSITY · PI ROSS, JOSEPH SOLOMON · 2008 to 2012
$738k
NIA NIH HHS K08 AG032886
6 · The paper itself

Abstract

backgroundAnalysis of trial documentation has revealed that some industry-funded trials may be done more for marketing purposes than scientific endeavour. We aimed to define characteristics of drug trials that appear to be influenced by marketing considerations and estimate their prevalence.

methodsWe examined reports of randomised controlled trials of drugs published in six general medical journals in 2011. Six investigators independently reviewed all publications, characterising them as YES/MAYBE/NO suspected marketing trials, and then met to reach consensus. Blinded researchers then extracted key trial characteristics. We used blinded cluster analysis to determine if key variables could characterise the categories of trials (YES/MAYBE/NO).

results41/194 (21 %) trials were categorised as YES, 14 (7 %) as MAYBE, 139 (72 %) as NO. All YES and MAYBE trials were funded by the manufacturer, compared with 37 % of NO trials (p < 0.001). A higher proportion of YES trials had authors or contributors from the manufacturer involved in study design (83 % vs. 19 %), data analysis (85 % vs.15 %) and reporting (81 % vs. 15 %) than NO trials (p < 0.001). There was no significant difference between groups in the median number of participants screened (p = 0.49), but the median number of centres recruiting participants was higher for YES compared with NO trials (171 vs. 13, p < 0.001). YES trials were not more likely to use a surrogate (42 % vs. 30 %; p = 0.38) or composite primary outcome measure (34 % vs. 19 %; p = 0.14) than NO trials. YES trials were often better reported in terms of blinding, safety outcomes and adverse events than NO trials. YES trials more frequently included speculation that might encourage clinicians to use the intervention outside of the study population compared to NO trials (59 % vs.37 %, p = 0.03). Cluster analysis based on study characteristics did not identify a clear variable structure that accurately characterised YES/MAYBE/NO trials.

conclusionsWe reached consensus that a fifth of drug trials published in the highest impact general medical journals in 2011 had features that were suggestive of being designed for marketing purposes. Each of the marketing trials appeared to have a unique combination of features reported in the journal publications.

Indexed as

MarketingRandomized Controlled Trials as TopicResearch DesignHumans

Identifiers

PMID26792624
PMCPMC4720997

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.