Evidence map›Paper›PMID 40642261›Full record

ArticlePlastic and reconstructive surgery. Global open2025

Breast Reconstruction in Becker Nevus Syndrome.

Alexis K Schlosser, Mohammed S Rais, Ruston J Sanchez

Abstract readCase Reports
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.

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

3 authors.

Alexis K SchlosserFrom the Department of Plastic and Reconstructive Surgery, Tulane University Medical Center, New Orleans, LA.
Mohammed S RaisLouisiana State University School of Medicine, New Orleans, LA.
Ruston J SanchezFrom the Department of Plastic and Reconstructive Surgery, Tulane University Medical Center, New Orleans, LA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Becker nevus syndrome is a rare cutaneous disorder characterized by the presence of a hyperpigmented patch of skin typically occurring on the upper trunk, often associated with hypertrichosis, and sometimes associated with musculoskeletal abnormalities ipsilateral to the nevus. Becker nevus syndrome can lead to breast hypoplasia. Unlike other forms of breast hypoplasia, treatment should begin before the completion of breast development. Due to the rarity of the disease, breast reconstruction in these patients has no gold-standard approach, and treatment is often delayed. Therefore, our case report highlighted the need for early treatment and provided options for reconstruction in this population. Our case reported a single surgeon approach to breast hypoplasia in Becker nevus syndrome. Consent was obtained for medical photography and research purposes. A 37-year-old woman with hypertension presented with concerns regarding drastic breast asymmetry. On examination, she was noted to have significant breast asymmetry with right-sided hypoplasia, left macromastia, and a patchy hyperpigmented lesion along the right chest wall. After a discussion of surgical options, a right breast augmentation and left breast reduction was performed. The patient had no postoperative complications. She was satisfied with her breast size and symmetry at her 6-month postoperative clinic follow-up. Becker nevus syndrome in women may be more frequent than previously described in the literature, as it often goes undiagnosed. Little literature exists on providing surgical options. This article demonstrated a single-stage reconstruction that provided satisfactory results and improvement in symmetry.

Identifiers

PMID40642261
PMCPMC12245258

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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.