Evidence map›Paper›PMID 40800043›Full record

ArticleAesthetic surgery journal. Open forum2025

Defining Femininity: Crowdsourced Insights on Gendered Facial Features Across Ethnicities.

Ishan S Patel, Gabriella E Glassman, Anjali Om, Daniel J Gould, Daniel Cuzzone, Orr Shauly

Abstract read
In one paragraph

Article in Aesthetic surgery journal. Open forum, 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

6 authors.

Ishan S Patel
Gabriella E Glassman
Anjali Om
Daniel Cuzzone
Orr Shauly

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Facial feminization surgery has become a key component of the male-to-female transition. Objectives: The authors of this study aim to determine which facial features are viewed as most masculine or feminine across biological sex and ethnicity. Methods: Four web-based survey instruments were used, displaying an image set of artificial intelligence-generated Results: A total of 2566 respondents completed the survey instruments. Respondents identified the lips as the most feminine facial feature (range, 7.98-9.41, Conclusions: The authors of this study provide valuable insight into the public's perception of inherently masculine and feminine facial features across ethnicity and gender. Level of Evidence 5 Therapeutic:

Identifiers

PMID40800043
PMCPMC12342755

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.