Evidence map›Paper›PMID 40496992›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Racial Disparities in Hidradenitis Suppurativa Management at a Single Institution.

Nikhi P Singh, Kaitlin Burge, Sean Drummond, Ryan Zaniewski, Spencer MacLeod, Lauren Moradi, Reagan Hattaway, Timothy W King, Tiffany Mayo, Jorge I de la Torre

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. Not yet cited in PubMed.

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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

10 authors.

Nikhi P SinghFrom the Division of Plastic Surgery, Department of Surgery, Indiana University, Indianapolis, IN.
Kaitlin BurgeHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Sean DrummondHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Ryan ZaniewskiHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Spencer MacLeodHeersink School of Medicine, University of Alabama at Birmingham, Birmingham, AL.
Lauren MoradiSchool of Medicine, University of South Alabama, Mobile, AL.
Reagan HattawayDepartment of Anesthesiology, University of Alabama at Birmingham, Birmingham, AL.
Timothy W KingDivision of Plastic and Reconstructive Surgery, Department of Surgery, Loyola University Stritch School of Medicine, Maywood, IL.
Tiffany MayoDepartment of Dermatology, University of Alabama at Birmingham, Birmingham, AL.
Jorge I de la TorreDivision of Plastic Surgery, Department of Surgery, University of Alabama at Birmingham, Birmingham, AL.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hidradenitis suppurativa (H/S) disproportionately affects African Americans. We describe those affected by this disease to evaluate potential racial disparities. Methods: This retrospective review examined 1148 patients with H/S cared for by plastic surgery and/or dermatology. Analysis was performed between African Americans and non-African Americans (White, Hispanic, Asian, and other races). Results: Most patients identified as women (76%) and African American (66%). Mean age across all patients was 36.3 years and mean body mass index was 36.1 kg/m². A total of 1936 cases of H/S were identified, and African Americans more commonly experienced H/S of the bilateral axilla ( Conclusions: African Americans may face disparities in the management of this complex and often chronic disease course. It is important that those affected by H/S are managed by a multidisciplinary team to ensure optimal patient care.

Identifiers

PMID40496992
PMCPMC12150911

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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.