Evidence map›Paper›PMID 42754911›Full record

ArticleResearch integrity and peer review2026

Institutional conflicts of interest in health-related research - a scoping review.

Alexander Haarmann, Charlotte M Kugler, Hengameh Goodarzi, Alexander Pachanov, Kaethe Goossen, Elie A Akl, Dawid Pieper

Abstract read
In one paragraph

Article in Research integrity and peer review, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

7 authors.

Alexander Haarmann *Institute for Health Services and Health System Research, Faculty of Health Sciences, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.
Charlotte M Kugler *Institute for Health Services and Health System Research, Faculty of Health Sciences, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany. charlotte.kugler@mhb-fontane.de.ORCID https://orcid.org/0000-0003-4170-3290
Hengameh GoodarziInstitute for Health Services and Health System Research, Faculty of Health Sciences, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.
Alexander PachanovInstitute for Health Services and Health System Research, Faculty of Health Sciences, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.
Kaethe GoossenInstitute for Research in Operative Medicine, Witten/Herdecke University, Cologne, Germany.
Elie A AklDepartment of Internal Medicine, American University of Beirut, Beirut, Lebanon.
Dawid PieperInstitute for Health Services and Health System Research, Faculty of Health Sciences, Brandenburg Medical School (Theodor Fontane), Rüdersdorf, Germany.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundInstitutional conflicts of interest (COIs) have received less attention than individual COIs in health-related research.

objectiveTo explore how institutional COIs arising from affiliation with a healthcare provider have been studied or discussed in the literature on health-research involving humans.

methodsWe conducted a scoping review following the JBI guidance and reported it according to PRISMA-ScR. The review included English‑ or German‑language empirical or conceptual publications that addressed institutional COIs -either independently or in conjunction with individual COI - within health‑related research involving humans conducted at institutions that deliver healthcare services. We systematically searched PubMed, Embase (Elsevier), and Google Scholar in July 2024. Two reviewers independently screened publications. One reviewer extracted data and another checked it. One author mapped and analysed included papers according to the categories of institutional and individual COIs that they addressed, which another author verified.

resultsWe included 48 publications published between 1998 and 2022. The majority (88%; n = 42/48) focused on North America, were empirical (67%; n = 32/48), and referred to institutions such as hospitals and clinics (58%; n = 28/48), or universities and academic institutions (58%; n = 28/48). Most institutional COIs described were linked to health-related industries (79%; n = 38/48). Almost all publications mentioned direct financial institutional COIs (98%; n = 47/48) primarily in relation to receiving gifts, endowments, or grants (94%; n = 45/48). One third of publications (n = 16/48) described indirect financial institutional COIs, most frequently through increasing services (27%; n = 13/48). Direct financial individual COI were represented in 73% (n = 35/48) of publications, and indirect financial individual COIs in 6% (n = 3/48). Half of the publications (52%; n = 25/48) illustrated non-financial COIs, particularly related to prestige and reputation (31%; n = 15/48), or career advancements and professional roles (23%; n = 11/48). All publications acknowledged that institutional COIs can have negative consequences, most frequently due to bias and distortion in the research process (94%; n = 45/48). The vast majority of publications (94%; n = 45/48) offered recommendations for managing COIs, including institutional policies (77%; n = 37/48).

conclusionDirect financial COIs dominate the literature on institutional COIs, while indirect or non-financial COIs remain under-researched. Institutional COIs are consistently recognised as problematic and institutional policies are most frequently proposed as means to manage them.

Indexed as

Clinical practiceConflict of interestFinancial incentivesHealthcare providerHealth policyMedicineResearch integrity

Identifiers

PMID42754911
PMCPMC13584590

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.