Evidence map›Paper›PMID 40151169›Full record

ArticleTransgender health2025

TikTok in Transgender Health: Is It Really Useful for Plastic Surgeons?

Bashar Hassan, Jessica Mroueh, Vanessa Mroueh, Joseph M Escandón, Safi Ali-Khan, Gabriel Del Corral, Pedro Ciudad, Oscar J Manrique

Abstract read
In one paragraph

Article in Transgender health, 2025. 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

8 authors.

Bashar HassanAmerican University of Beirut Faculty of Medicine, Beirut, Lebanon.ORCID https://orcid.org/0000-0002-4037-8740
Jessica MrouehAmerican University of Beirut Faculty of Medicine, Beirut, Lebanon.
Vanessa MrouehAmerican University of Beirut Faculty of Medicine, Beirut, Lebanon.
Joseph M EscandónDivision of Plastic and Reconstructive Surgery, Strong Memorial Hospital, University of Rochester Medical Center, Rochester, New York, USA.ORCID https://orcid.org/0000-0002-8982-1950
Safi Ali-KhanDivision of Plastic and Reconstructive Surgery, Strong Memorial Hospital, University of Rochester Medical Center, Rochester, New York, USA.
Gabriel Del CorralDepartment of Plastic and Reconstructive Surgery, Medstar Georgetown University Hospital, Baltimore, Maryland, USA.
Pedro CiudadDepartment of Plastic, Reconstructive and Burn Surgery, Arzobispo Loayza National Hospital, Lima, Peru.
Oscar J ManriqueDivision of Plastic and Reconstructive Surgery, Strong Memorial Hospital, University of Rochester Medical Center, Rochester, New York, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Purpose: In 2020, videos with the hashtag #trans had over 6 billion views on the video-sharing application "TikTok." We aim to analyze TikTok users' engagement with gender-affirming surgery (GAS) content by transgender and nonbinary (TGNB) patients and plastic surgeons. Methods: Between August 23 through September 11, 2021, we analyzed the top 14 hashtags for GAS and the top 10 most viewed videos for each hashtag using the TikTok application. We extracted the number of shares, likes, comments, and analyzed the quality of video comments, content, and creator. Results: Transmasculine top surgery ( Conclusion: TikTok users mostly engage with videos by the PSO on postoperative outcomes compared with educational and TGNB awareness/pride content posted by patients and surgeons. Adapting TikTok content may increase engagement with future patients and family members.

Indexed as

Information disseminationsocial mediatransgender personsvideo recording

Identifiers

PMID40151169
PMCPMC11937766

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.