Evidence map›Paper›PMID 40404699›Full record

ArticleScientific reports2025

Influence of race and gender on variability in clinical decision-making in neurology.

Randi A Paynter, Nina Bozinov, Saadiya Hawa, Julia F Simard

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

4 authors.

Randi A PaynterDepartment of Epidemiology and Population Health, Stanford School of Medicine, Stanford, California, US.
Nina BozinovKootenai Clinic, Neurology, Kootenai Health, Coeur d'Alene, ID, USA.
Saadiya HawaLouis A. Weiss Memorial Hospital, Chicago, Illinois, US.
Julia F SimardDepartment of Epidemiology and Population Health, Stanford School of Medicine, Stanford, California, US. jsimard@stanford.edu.ORCID http://orcid.org/0000-0001-5735-9856

Funding

Implicit Bias in the Evidence: An Evaluation of Female-Predominant DiseaseR01AI154533 · NIAID · STANFORD UNIVERSITY · PI SIMARD, JULIA F · 2020 to 2023
$2.1M
NIH HHS R01 AI154533
6 · The paper itself

Abstract

Disparities in outcomes have been reported in numerous neurologic diseases. Examining clinical decision-making patterns and behaviors can inform points of intervention to improve disease management and outcomes. This experimental vignette study sought to measure the effects of race (Black, White) and gender (female, male) on variation in clinical decision-making for remitting-relapsing multiple sclerosis (RRMS), primary progressive MS (PPMS), stroke, Parkinson disease, and epilepsy. A factorial survey study using five clinical vignettes was distributed to neurologists in the United States. Race and gender were randomly modified across all vignettes. Correct diagnoses for each vignette were the main outcome and additional outcomes included response time and planned next steps (as a proxy of certainty). 621 neurologists completed the study. Participants consistently diagnosed stroke correctly, independent of race/gender variant. However, we noted some variability for the other conditions. RRMS was correctly diagnosed among White female vignettes 89% of the time, compared to 81-82% for the other vignette types (p = 0.13). For PPMS vignettes, females were more likely to be correctly diagnosed than males, and White vignettes more likely to be correctly diagnosed than Black vignettes. We observed some variability in treatment initiation as the specified next step across vignettes, as well as response time. We found that diagnosis and certainty varied by race and gender. The extent to which frequency of correct diagnosis varied suggests uncertainty and reliance upon the epidemiologic knowledge base, particularly as the distribution of correct diagnoses corresponds with the evidence base.

Indexed as

Clinical Decision-MakingNeurologyRace FactorsSex FactorsAdultEpilepsyFemaleHumansMaleMiddle AgedNeurologistsSurveys and QuestionnairesUnited StatesClinical vignettesCognitive biasDiagnosisMultiple sclerosis

Identifiers

PMID40404699
PMCPMC12098845

What Socratic holds

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LicenceCC BY-NC-ND
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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 Socratic graph.