Evidence map›Paper›PMID 40191742›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Surgical Scar Management and Outcomes in Racial/Ethnic Minorities: A Systematic Review.

Fiona I Obiezu, Myesha A Senior, Andrew J Vardanian

Abstract read
In one paragraph

Article in Plastic and reconstructive surgery. Global open, 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

3 authors.

Fiona I ObiezuFrom the David Geffen School of Medicine, University of California Los Angeles, Los Angeles, CA.
Myesha A SeniorDepartment of Mechanical and Industrial Engineering, University of Toronto, Toronto, ON, Canada.
Andrew J VardanianDivision of Plastic and Reconstructive Surgery, University of California Los Angeles, Los Angeles, CA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Patients with darker skin tend to experience an increased prevalence of adverse surgical scarring and poorer treatment response in comparison to White patients. Ethnic and racial factors play a role in overall surgical scar outcomes because they predispose darker-skinned individuals to sequelae such as scar hypertrophy, keloid formation, and an overall negative psychosocial impact. This systematic review will summarize existing literature on surgical scar outcomes and management in minority patients and will highlight gaps in the medical literature. Methods: The search was conducted using PubMed, Embase, Scopus, and Cochrane Library to identify relevant articles. All articles went through title and abstract screening, followed by full-text review. Results: Of 1235 articles, 40 met eligibility criteria. Following the full-text review, 10 articles were included. In 5 of the 10 studies, patients were characterized as having Fitzpatrick skin types II-V. Five studies utilized laser techniques, and the remaining 3 studies utilized silicone sheet, topical silicone, and surgery. The Vancouver Scar Scale was the most utilized assessment tool. The two studies that evaluated fractional CO Conclusions: Laser interventions were the most utilized and show promise for improving scar management outcomes in ethnic patients, though there is little work highlighting treatment decision-making in scar management. This review emphasizes the need for increased research focused on scar management interventions and comprehensive protocols to address scar management in plastic surgery for patients with darker skin.

Identifiers

PMID40191742
PMCPMC11970817

What OpenQuestion holds

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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.