Evidence map›Paper›PMID 36949866›Full record

ArticleEClinicalMedicine2023

Variations in how medical researchers report patient demographics: a retrospective analysis of published articles.

Erika E Lynn-Green, Avery A Ofoje, Robert H Lynn-Green, David S Jones

Abstract read
In one paragraph

Article in EClinicalMedicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
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  7. Review
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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.

Erika E Lynn-GreenHarvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.
Avery A OfojeThe Medical University of South Carolina, 171 Ashley Avenue, Charleston, SC 29425, USA.
Robert H Lynn-GreenMathematica Inc., 1100 First St NE #1200, Washington, DC 20002, USA.
David S JonesHarvard Medical School, 25 Shattuck Street, Boston, MA 02115, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The use of demographic variables in the medical literature has been a topic of much recent debate. Recent studies found that race and socioeconomic status (SES) are inconsistently reported. Best-practice use of sex and gender has been contentious. We aimed to characterise the state of medical demographic reporting in greater detail, especially regarding geography and specific terms used in articles. Methods: Original articles were included from issues of the Findings: 99.0% of articles reported age. While 92.9% reported sex alone, only 4.7% used the term gender and 1.0% transgender. 47.8% of articles reported race and 29.6% reported ethnicity. Studies with U.S. corresponding authors or participants were significantly more likely to report race (72.9% and 73.7% respectively) or ethnicity (47.3% and 45.3% respectively) than those without (25.9% and 25.6% for race, 14.2% and 16.3% for ethnicity), p < 0.01 for all. Of articles reporting race, 40.9% used only a Black-white binary; of those reporting ethnicity, 85.2% included two or fewer terms. Under 5.0% of all articles used Office of Management and Budget (OMB) categories. Across all articles, 33.0% reported SES, from 15.2% in Interpretation: We found that while some factors (age, sex) are reported consistently, others (gender, race, ethnicity, SES) are not, despite recent attention. Authors often rely on binary or limited categories that inadequately capture human diversity. The presence of U.S. researchers or participants increased the reporting of race and/or ethnicity, highlighting wide variations that persist even as multinational collaborations become widespread. Researchers should reflect on their use of these terms, justify their decisions, and report results with care. Funding: None.

Indexed as

DiversityMedical literaturePatient demographics

Identifiers

PMID36949866
PMCPMC10027500

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.