ArticleAccountability in research2016
Under the Influence: The Interplay among Industry, Publishing, and Drug Regulation.
Article in Accountability in research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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
7 citing papers in PubMed.
- Disclosing Conflicts of Interest to Potential Research Participants: Good for Nothing?Ethics & human research · 2023Article
- Key Characteristics and Development of Psychoceuticals: A Review.International journal of molecular sciences · 2022Review
- Conflicts of Interest in Psychopharmacology Textbooks.Community mental health journal · 2022Article
- Sponsorship bias in clinical trials: growing menace or dawning realisation?Journal of the Royal Society of Medicine · 2020Review
- Talc, Asbestos, and Epidemiology: Corporate Influence and Scientific Incognizance.Epidemiology (Cambridge, Mass.) · 2019Article
- Conflicts of interest disclosure policies among Chinese medical journals: A cross-sectional study.PloS one · 2019Article
- CDISC SHARE, a Global, Cloud-based Resource of Machine-Readable CDISC Standards for Clinical and Translational Research.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2018Article
Corrections and comments
- Commented on by
Authors and funding
4 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The relationships among academe, publishing, and industry can facilitate commercial bias in how drug efficacy and safety data are obtained, interpreted, and presented to regulatory bodies and prescribers. Through a critique of published and unpublished trials submitted to the Food and Drug Administration (FDA) and the European Medicines Agency (EMA) for approval of a new antidepressant, vortioxetine, we present a case study of the "ghost management" of the information delivery process. We argue that currently accepted practices undermine regulatory safeguards aimed at protecting the public from unsafe or ineffective medicines. The economies of influence that may intentionally and unintentionally produce evidence-biased-rather than evidence-based-medicine are identified. This is not a simple story of author financial conflicts of interest, but rather a complex tale of ghost management of the entire process of bringing a drug to market. This case study shows how weak regulatory policies allow for design choices and reporting strategies that can make marginal products look novel, more effective, and safer than they are, and how the selective and imbalanced reporting of clinical trial data in medical journals results in the marketing of expensive "me-too" drugs with questionable risk/benefit profiles. We offer solutions for neutralizing these economies of influence.
Indexed as
Identifiers
26890488What 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.