Evidence map›Paper›PMID 41812295›Full record

ArticleThe Journal of surgical research2026

Implicit Bias and Recognition of Biases Among Vascular Surgeons.

Kerry A Howard, Brian Witrick, Ashley Clark, Karen Atkinson, Avery Morse, Pranav Kapoor, Katharine L McGinigle, Samantha Minc, Olamide Alabi, Caitlin W Hicks and 4 more

Abstract read
In one paragraph

Article in The Journal of surgical research, 2026. 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

14 authors.

Kerry A HowardDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina; Center for Public Health Modeling and Response, Clemson University, Clemson, South Carolina. Electronic address: khowar7@clemson.edu.
Brian WitrickDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina.
Ashley ClarkCenter for Survey Research and O'Neill School of Public and Environmental Affairs, Indiana University-Bloomington, Bloomington, Indiana.
Karen AtkinsonDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina.
Avery MorseDepartment of Public Health Sciences, Clemson University, Clemson, South Carolina.
Pranav KapoorDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana.
Katharine L McGinigleDepartment of Surgery, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Samantha MincDepartment of Cardiovascular and Thoracic Surgery, West Virginia School of Medicine, Morgantown, West Virginia.
Olamide AlabiDivision of Vascular Surgery and Endovascular Therapy, Department of Surgery, Emory University School of Medicine, Atlanta, Georgia.
Caitlin W HicksDepartment of Surgery, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Andrew GonzalezDepartment of Surgery, School of Medicine, Indiana University School of Medicine, Indianapolis, Indiana; Center for Health Services Research, Regenstrief Institute, Indianapolis, Indiana.
Crystal W CenéDepartment of Medicine, University of California at San Diego Health, La Jolla, California.
Samuel CykertDivision of General Medicine and Clinical Epidemiology, School of Medicine, The University of North Carolina at Chapel Hill, Chapel Hill, North Carolina.
Corey A KalbaughDepartment of Epidemiology and Biostatistics, Indiana University School of Public Health-Bloomington, Bloomington, Indiana.

Funding

Understanding and Addressing Racial Disparities in Guideline-Indicated Management of Symptomatic Peripheral Artery DiseaseK01HL146900 · NHLBI · TRUSTEES OF INDIANA UNIVERSITY · PI KALBAUGH, COREY ANDREW · 2020 to 2024
$680k
NHLBI NIH HHS K01 HL146900
6 · The paper itself

Abstract

introductionImplicit bias can influence behavior and decision-making, such as treatment decisions in clinical settings. Given documented Black-White disparities in vascular care, the purpose of this study was to describe the prevalence and degree of implicit bias and recognition of bias among vascular surgeons.

methodsThe sample included vascular surgeons in the Vascular Quality Initiative. Participants completed a survey of demographic questions, race implicit association test, and six bias recognition questions. Implicit bias was categorized as no preference, or slight, moderate, or strong pro-White or pro-Black. We stratified implicit and bias recognition findings by physician race/ethnicity, sex, years of experience, and region; and examined the relationship between implicit bias and bias recognition.

resultsThe survey was completed by 304 participants. Most participants (71.6%) showed a pro-White bias with 73.0% of this group in moderate and strong categories. Bias magnitude varied based on physician race/ethnicity, years of experience, and region. Although 77.5% of respondents showed recognition of biases, of those whose results showed lack of recognition, 67.8% had moderate or strong bias. Women were more likely than men to report recognition of biases and of the potential impact of bias on decision-making.

conclusionsMost people have some level of implicit bias, developed from early life reinforcements, social stereotypes, and learned experiences. However, these are important findings in a profession that takes care of a high proportion of individuals from structurally vulnerable groups. Given the lack of association between implicit bias and recognition of biases, recognition may be an important first step to minimize documented disparities.

Indexed as

Attitude of Health PersonnelBias, ImplicitHealthcare DisparitiesRacismSurgeonsVascular Surgical ProceduresAdultBlack or African AmericanFemaleHumansMaleMiddle AgedSurveys and QuestionnairesUnited StatesWhiteBias recognitionImplicit biasPeripheral artery diseaseQuality of care

Identifiers

PMID41812295
PMCPMC13292118

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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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 OpenQuestion graph.