Evidence map›Paper›PMID 40295366›Full record

ArticleAesthetic plastic surgery2025

Along the Spectrum from Reduction to Mastectomy: Comparing the Opinions of an Online Transmasculine and Gender-Diverse Community on an Algorithmic Approach to Gender-Affirming Top Surgery.

Benjamin Rahmani, John B Park, Oluwaseun D Adebagbo, Tricia Mae Raquepo, Micaela J Tobin, James E Fanning, Shreyas Puducheri, Stephanie Preston, Ryan P Cauley

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Aesthetic plastic surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Benjamin RahmaniDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
John B ParkDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Oluwaseun D AdebagboDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Tricia Mae RaquepoDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Micaela J TobinDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
James E FanningDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Shreyas PuducheriDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Stephanie PrestonDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA.
Ryan P CauleyDivision of Plastic Surgery, Department of Surgery, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, USA. rcauley@bidmc.harvard.edu.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundGender-diverse patients often have unique preferences for top surgery that differ from those of binary transgender men. Yet, discussions around tailored surgical options remain limited. Social media platforms provide insights into the preferences of gender-diverse individuals who frequently turn to digital spaces for information and support. This study sought to explore the diverse needs of gender-diverse respondents and gather their feedback on a pictorial algorithm designed to assist with preoperative surgical decision-making.

methodsA cross-sectional survey was distributed on Reddit to individuals considering or having undergone masculinizing top surgery. The survey collected data on aesthetic preferences, comfort with surgical options, surgeon communication, and the need for non-standard surgical choices. A pictorial algorithm was used to evaluate its utility in enhancing preoperative discussions. Data were analyzed for demographic differences and preferences across transgender male, non-binary, and other gender-diverse (OGD) groups.

resultsOf 799 respondents, 639 met the inclusion criteria. Non-binary and OGD respondents were older (p<0.0001) and had higher education levels (p<0.0001). These groups showed a higher preference for "non-standard" chest reconstruction (p=0.02), were less likely to want nipple-areola complex (NAC) reconstruction, and reported more frequent interactions where they educated their surgeons on options (p<0.0001) and greater comfort in these discussions (p=0.0002).

conclusionThis study highlights the diverse preferences and needs of gender-diverse individuals seeking masculinizing top surgery. It underscores the importance of personalized care, with a structured communication tool and algorithm aiding better patient-provider alignment for more tailored surgical outcomes. LEVEL OF EVIDENCE IV: 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

AlgorithmsGender-Affirming SurgeryMammaplastyMastectomyPatient PreferenceSocial MediaTransgender PersonsAdultCross-Sectional StudiesFemaleHumansMaleMiddle AgedSurveys and QuestionnairesYoung AdultGender-affirming surgeryGender-diverseMasculinizing top surgeryPatient–provider communicationSocial mediaSurgical preferences

Identifiers

PMID40295366

What OpenQuestion holds

Textmetadata
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.