Evidence map›Paper›PMID 40579599›Full record

ArticleAesthetic plastic surgery2026

First Impressions: How Surgeon Gender and Race in Social Media Profile Pictures Affect Patient Perception in Plastic Surgery.

Evan Rothchild, Sarah Phillips, Caroline Baker, Fei Wang, Joseph Andrew Ricci

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Article in Aesthetic plastic surgery, 2026. 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

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

5 authors.

Evan RothchildMontefiore Medical Center/Albert Einstein College of Medicine, New York, NY, USA.
Sarah PhillipsDivision of Plastic Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, Great Neck, NY, USA.
Caroline BakerMontefiore Medical Center/Albert Einstein College of Medicine, New York, NY, USA.
Fei WangDivision of Plastic Surgery, University of Washington School of Medicine, Seattle, WA, USA.
Joseph Andrew RicciPlastic and Reconstructive Surgeon, Division of Plastic Surgery, Donald and Barbara Zucker School of Medicine at Hofstra/Northwell, 600 Northern Boulevard, Great Neck, NY, 11021, USA. jricci3@northwell.edu.ORCID 0000-0002-5791-4378

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundSocial media has emerged as an essential platform for plastic surgeons to advertise to potential new patients. Among the various factors influencing a patient's choice of physician, implicit bias plays a significant role. This study aims to investigate whether a surgeon's gender or race, as presented in their social media profile picture, affects the perception of their competence and the likelihood of attracting patients.

methodsTwo side-by-side sample Instagram posts were created. Each post displayed a before-and-after photograph of a common plastic surgery procedure and featured one of eight possible profile pictures generated using artificial intelligence, with variations only in gender and race. Surveys containing the posts, which only differed in the surgeon's profile pictures, were distributed to respondents to evaluate perceived surgeon competence, likelihood of recruiting patients, likelihood of making a referral, and willingness to visit the surgeon's profile.

resultsA total of 1777 respondents participated. The average scores were 3.74 (SD=0.98) for competence, 3.64 (SD=1.06) for patient recruitment likelihood, 3.72 (SD=1.00) for referral, and 3.68 (SD=1.05) for social media influence. Surgeon ethnicity or gender did not significantly affect scores, and no significant pairwise differences were found between respondent and surgeon ethnicities across all categories.

conclusionsOur results showed no significant differences in patient recruitment, referral likelihood, perceived competence, or social media influence based on surgeon gender or race. These findings suggest that using controlled images, which standardize factors like clothing, name, and other superficial identifying features, may help reduce the influence of demographic biases. LEVEL OF EVIDENCE III: This journal requires that authors assign a level of evidence to each article. For a full description of these Evidence-Based Medicine ratings, please refer to the Table of Contents or the online Instructions to Authors www.springer.com/00266 .

Indexed as

Clinical CompetencePlastic Surgery ProceduresRacial GroupsSocial MediaSurgeonsSurgery, PlasticAdultFemaleHumansMaleMiddle AgedPhysician-Patient RelationsSex FactorsSurveys and QuestionnairesArtificial intelligenceGenderImplicit biasPatient perceptionRaceSocial media

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Registered trials

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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.