Evidence map›Paper›PMID 39341553›Full record

ArticleThe Journal of thoracic and cardiovascular surgery2025

Racial differences in cardiothoracic surgery letters of recommendation.

Kaleb Rostmeyer, Valeda Yong, Mengying Deng, Kristine Chin, Lynde Lutzow, Kadir Erkmen, Cherie P Erkmen

Abstract read
In one paragraph

Article in The Journal of thoracic and cardiovascular surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Kaleb RostmeyerLewis Katz School of Medicine at Temple University, Philadelphia, Pa.
Valeda YongDepartment of Surgery, Temple University Hospital, Philadelphia, Pa.
Mengying DengFox Chase Cancer Center, Temple University Health Systems, Philadelphia, Pa.
Kristine ChinLewis Katz School of Medicine at Temple University, Philadelphia, Pa.
Lynde LutzowDepartment of Surgery, Temple University Hospital, Philadelphia, Pa.
Kadir ErkmenDepartment of Neurosurgery, Lewis Katz School of Medicine at Temple University, Philadelphia, Pa.
Cherie P ErkmenDepartment of Thoracic Medicine and Surgery, Lewis Katz School of Medicine at Temple University, Philadelphia, Pa. Electronic address: cherie.erkmen@tuhs.temple.edu.

Funding

WORD PROCESSING CENTER--COREP30CA006927 · NCI · RESEARCH INST OF FOX CHASE CAN CTR · PI Margaret von Mehren · 1985 to 2026
$138.8M
TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221705 · NCI · TEMPLE UNIV OF THE COMMONWEALTH · PI Joel Erblich, Jennifer S Ford · 2018 to 2026
$16.3M
TUFCCC/HC Regional Comprehensive Cancer Health PartnershipU54CA221704 · NCI · HUNTER COLLEGE · PI Joel Erblich · 2018 to 2026
$10.6M
NCI NIH HHS P30 CA006927NCI NIH HHS U54 CA221704NCI NIH HHS U54 CA221705
6 · The paper itself

Abstract

objectiveCardiothoracic surgery lacks racial diversity. Attracting the best candidates requires valuing diversity and advancing a recruitment process that minimizes racial bias. Implicit bias in recommendation letters has been identified as an influential mechanism for lack of diversity in cardiothoracic surgery. We aim to investigate how applicant race impacts language used in cardiothoracic surgery fellowship recommendation letters.

methodsWe examined applications to an accredited cardiothoracic surgery fellowship program between 2017 and 2021. Recommendation letter authors were categorized as cardiothoracic and noncardiothoracic surgeons. Applicant self-reported race was dichotomized as White and non-White. Applicant characteristics were described using standard descriptive statistics and compared between applicant race. Recommendation letters were examined with linguistic analysis software and higher-level analysis to assess language associations between applicant race and author specialty.

resultsA total of 597 recommendation letters were analyzed from 158 individual applications. Cardiothoracic surgeons composed 334 (55.9%) recommendation letters. A total of 95 applicants (60.1%) were categorized as White. White applicants were described as more driven (P = .03), whereas letters for non-White applicants were more authentic (P = .02) and highlighted past experiences (P = .05). Cardiothoracic surgeons wrote longer letters (P = .04) with standout adjectives (P = .03) more frequently for White applicants and emphasized perceptiveness (P = .02) more often when writing for non-White applicants.

conclusionsWe demonstrate that authors' recommendation letters are influenced by applicant race. Letters written for White candidates are significantly longer and more descriptive of drive and outstanding characteristics than letters written for non-White candidates, particularly when written by cardiothoracic surgeons. Addressing this bias is crucial for recruiting the best candidates for cardiothoracic surgery.

Indexed as

Correspondence as TopicPersonnel SelectionRacismSurgeonsThoracic SurgeryCultural DiversityFellowships and ScholarshipsFemaleHumansMalecardiothoracic trainingdiversityimplicit biasletters of recommendationlinguistic analysis racial biasrecruitment

Identifiers

PMID39341553
PMCPMC12785158

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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.