Evidence map›Paper›PMID 21327723›Full record

ArticleScience and engineering ethics2012

Those who have the gold make the evidence: how the pharmaceutical industry biases the outcomes of clinical trials of medications.

Joel Lexchin

Abstract read
PubMed Publisher
In one paragraph

Article in Science and engineering ethics, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 53 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
53citing papers in PubMed, 8 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

53 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  6. Industry sponsorship and research outcome.The Cochrane database of systematic reviews · 2017
    Pooled it
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  9. Subconscious value influences on science.Studies in history and philosophy of science · 2025
    Article
  10. Article
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  17. Science, Values, and the New Demarcation Problem.Journal for general philosophy of science = Zeitschrift fur allgemeine Wissenschaftstheorie · 2023
    Article
  18. Article
  19. A Proposal to Increase Value and Equity in the Development and Distribution of New Pharmaceuticals.International journal of health services : planning, administration, evaluation · 2022
    Article
  20. Concerns About Our Public Medical Response to COVID 19.The American journal of medicine · 2022
    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

1 author.

Joel LexchinSchool of Health Policy and Management, York University, 4700 Keele St., Toronto, ON, M3J 1P3, Canada. jlexchin@yorku.ca

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Pharmaceutical companies fund the bulk of clinical research that is carried out on medications. Poor outcomes from these studies can have negative effects on sales of medicines. Previous research has shown that company funded research is much more likely to yield positive outcomes than research with any other sponsorship. The aim of this article is to investigate the possible ways in which bias can be introduced into research outcomes by drawing on concrete examples from the published literature. Poorer methodology in industry-funded research is not likely to account for the biases seen. Biases are introduced through a variety of measures including the choice of comparator agents, multiple publication of positive trials and non-publication of negative trials, reinterpreting data submitted to regulatory agencies, discordance between results and conclusions, conflict-of-interest leading to more positive conclusions, ghostwriting and the use of "seeding" trials. Thus far, efforts to contain bias have largely focused on more stringent rules regarding conflict-of-interest (COI) and clinical trial registries. There is no evidence that any measures that have been taken so far have stopped the biasing of clinical research and it's not clear that they have even slowed down the process. Economic theory predicts that firms will try to bias the evidence base wherever its benefits exceed its costs. The examples given here confirm what theory predicts. What will be needed to curb and ultimately stop the bias that we have seen is a paradigm change in the way that we treat the relationship between pharmaceutical companies and the conduct and reporting of clinical trials.

Indexed as

BiasBiomedical ResearchConflict of InterestDrug IndustryEvidence-Based MedicineHumansPublishingRegistriesResearch Design

Identifiers

What OpenQuestion holds

Textmetadata
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.