Evidence map›Paper›PMID 39959418›Full record

ArticleAesthetic surgery journal. Open forum2025

Delivering an Inclusive Experience for Patients of All Genders in the Aesthetics Practice: A Roundtable Discussion.

Alexander Rivkin, Toni Pikoos, Michael Somenek, Bianca Viscomi

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. 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. Review
  2. Review
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

4 authors.

Alexander Rivkin
Toni Pikoos
Michael Somenek
Bianca Viscomi

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Transgender, nonbinary, and gender-diverse individuals represent a growing proportion of patients desiring minimally invasive aesthetic treatments to enhance facial appearance. Although awareness of the need for gender-affirming care is increasing and resources are available on approaches to injection in gender-diverse individuals, guidance on how to best provide this care is lacking. The objective of this manuscript is to share recommended practices for aesthetic clinicians who wish to treat transgender, nonbinary, and gender-diverse individuals or wish to improve gender inclusivity within their aesthetic practices. As part of a continuing medical education activity, the authors participated in a roundtable discussion on how individual practices can support inclusive care for transgender, nonbinary, and cisgender patients. The authors agreed that a thorough understanding of vocabulary in support of gender diversity can help to improve clinician confidence and the patient experience. Consideration of clinic design, including the use of gender-neutral bathrooms and the display of gender diversity in advertisements or clinic artwork, can also support a gender-inclusive and welcoming environment. The use of correct pronouns and gender-neutral language by all clinic staff and clinicians, as well as a thoughtful approach to language used on intake forms, may also help to provide an inclusive and safe space for the transgender, nonbinary, and gender-diverse community. Inclusive and gender-affirming healthcare improves the mental health and well-being of transgender, nonbinary, and gender-diverse populations. Individual aesthetic clinicians can improve inclusivity by considering their advertising, clinic design, intake forms as well as their consultation, treatment, and follow-up practices. Level of Evidence 5 Therapeutic:

Identifiers

PMID39959418
PMCPMC11828858

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.