Evidence map›Paper›PMID 42861171›Full record

ReviewCureus2026

Surgical Approaches to Perineal Reconstruction: A Narrative Review.

David A Febre-Alemañy, Michael J Franco

Abstract readReview
In one paragraph

Review in Cureus, 2026. 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

2 authors.

David A Febre-AlemañySurgery, San Juan Bautista School of Medicine, Caguas, PRI.
Michael J FrancoPlastic and Reconstructive Surgery, Cooper University Hospital, Camden, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The reconstruction of the perineum remains one of the most demanding fields in reconstructive surgery. The region combines a contaminated operative field, a high prevalence of prior radiotherapy, complex three-dimensional dead space, and functional structures (the anus, urethra, and vagina) whose preservation or restoration directly determines the quality of life. The principal indications for perineal reconstruction are oncologic resection, most commonly abdominoperineal resection and pelvic exenteration for anorectal and gynecologic malignancy, radical vulvectomy, and the soft tissue destruction produced by Fournier gangrene. This narrative review traces the historical evolution of perineal reconstruction from the era of open wound packing to modern perforator flap surgery, summarizes the anatomic and physiologic principles that underpin flap-based repair, and appraises the current evidence for the main reconstructive options, including primary closure, biologic mesh, omental flaps, the vertical rectus abdominis myocutaneous (VRAM) flap, gluteal and thigh-based flaps, and fasciocutaneous perforator flaps such as the lotus petal flap. Comparative data from systematic reviews, meta-analyses, and the recent BIOPEX-2 and Nordic Extended Abdominoperineal Excision (NEAPE) randomized trials are discussed, together with functional, sexual, and quality of life outcomes and reconstructive strategy in Fournier gangrene. A defect-oriented algorithmic approach, tailored to the resection performed, the radiation field, patient factors, and donor site availability, currently offers the most rational framework for choosing among reconstructive options.

Indexed as

abdominoperineal resectionfournier gangrenegluteal flappelvic exenterationperforator flapperineal reconstructionvertical rectus abdominis myocutaneous flapvulvar reconstruction

Identifiers

PMID42861171
PMCPMC13654325

What OpenQuestion holds

Textmetadata
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.