Evidence map›Paper›PMID 38322498›Full record

ArticleFrontiers in medicine2023

Industry influence on mental health research: depression as a case example.

Lisa Cosgrove, Elissa H Patterson, Harold J Bursztajn

Abstract read
In one paragraph

Article in Frontiers in medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. 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

3 authors.

Lisa Cosgrove *Department of Counseling & School Psychology, University of Massachusetts, Boston, MA, United States.
Elissa H Patterson *Departments of Psychiatry and Neurology, Institute for Healthcare Policy & Innovation, University of Michigan Medical School, Ann Arbor, MI, United States.
Harold J BursztajnDepartment of Psychiatry, Harvard Medical School, Boston, MA, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Emotional distress has been rising since before the COVID-19 pandemic and the public is told that depression is a major public health problem. For example, in 2017 depressive disorders were ranked as the third leading cause of "years lost to disability" and the World Health Organization now ranks depression as the single largest contributor to global disability. Although critical appraisals of the epidemiological data raise questions about the accuracy of population-based depression estimates, the dominance of the medical model and the marketing of psychotropics as "magic bullets," have contributed to a dramatic rise in the prescription of psychiatric drugs. Unfortunately, the pharmaceutical industry's influence on psychiatric research and practice has resulted in over-estimates of the effectiveness of psychotropic medications and an under-reporting of harms. This is because the principles that govern commercial entities are incongruent with the principles that guide public health research and interventions. In order to conduct mental health research and develop interventions that are in the public's best interest, we need non-reductionist epistemological and empirical approaches that incorporate a biopsychosocial perspective. Taking depression as a case example, we argue that the socio-political factors associated with emotional distress must be identified and addressed. We describe the harms of industry influence on mental health research and show how the emphasis on "scaling up" the diagnosis and treatment of depression is an insufficient response from a public health perspective. Solutions for reform are offered.

Indexed as

antidepressant medicationsclinical practice guidelinescommercialization of healthcareconflicts of interestindustry influence in psychiatrysocial determinants of healthtreatment resistant depressionwellbeing

Identifiers

PMID38322498
PMCPMC10845136

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.