Evidence map›Paper›PMID 40859757›Full record

ArticleACR open rheumatology2025

Sex-Associated Disparities in Industry Payments to US Authors in High-Impact Rheumatology Journals: Correlation with Author Impact.

William Stohl, Krishan Parikh, Anuj Parikh, Sheldon M Stohl

Abstract read
In one paragraph

Article in ACR open rheumatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

4 authors.

William StohlUniversity of Southern California, Los Angeles.ORCID https://orcid.org/0000-0002-8272-7873
Krishan ParikhUniversity of Southern California, Los Angeles.
Anuj ParikhCerritos High School, Cerritos, California.
Sheldon M StohlHadassah Hebrew University Medical Center, Jerusalem, Israel, and Children's Hospital Los Angeles, Los Angeles, California.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThe aim of this study was to assess sex-associated disparities in the frequency and magnitude of industry payments to US physician authors in high-impact rheumatology journals and their correlation with author impact.

methodsUS authors of publications in four high-impact rheumatology journals were vetted on Open Payments Database (OPD) for industry payments. The h-index (an accepted metric of author impact), physician type, and dollar amounts for each OPD category were recorded. Differences in the percentages of male versus female US authors with or without OPD entries, differences in research-associated and non-research-associated payments, and differences in h-indexes were determined. Two hematology, two surgery, and two obstetrics/gynecology high-impact journals were similarly vetted.

resultsThe h-indexes of, and industry payments to, US male physician authors were greater than those of and to US female physician authors across all four vetted journal disciplines, with the male-to-female ratio of median dollar payments being greatest for rheumatology. Whereas payments to male US physician authors tended to be larger than those to female US physician authors at low h-indexes, payments to female US physician authors, especially for rheumatology, tended to match and surpass those to male US physician authors as the h-indexes rose.

conclusionSignificant differences exist in industry payments and h-indexes between male and female US physician authors of publications in high-impact journals, especially high-impact rheumatology journals. Sex-associated differences in industry payments can be attributed, at least in part, to sex-associated differences in author impact.

Identifiers

PMID40859757
PMCPMC12381470

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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.