Evidence map›Paper›PMID 40900977›Full record

ArticleCureus2025

Carbonell-Bonafé Component Separation Technique for Giant Recurrent Ventral Hernia With Loss of Domain: A Case Report.

Pedro Cardenas Cruz, Felipe de Jesus Magaña Torres, Carlos Oswaldo Parra Andrade

Abstract readCase Reports
In one paragraph

Article in Cureus, 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
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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

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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.

Pedro Cardenas CruzSurgery, Hospital General de Zona No. 33, Instituto Mexicano del Seguro Social, Bahia de Banderas, MEX.
Felipe de Jesus Magaña TorresSurgery, Hospital General de Zona No. 33, Instituto Mexicano del Seguro Social, Bahia de Banderas, MEX.
Carlos Oswaldo Parra AndradeSurgery, Hospital General de Zona 1, Instituto Mexicano del Seguro Social, Tepic, MEX.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Complex ventral hernias pose a significant surgical challenge, particularly those with large defects or loss of domain. Traditional techniques may be associated with high complication rates or insufficient defect coverage. The modified Carbonell-Bonafé anatomical component separation (ACS) technique offers an innovative approach to achieve tension-free closure and functional abdominal wall reconstruction. We report the case of a 44-year-old woman with a giant recurrent ventral hernia (European Hernia Society (EHS) classification M2-4 W3 R6), a history of 11 previous abdominal surgeries, and a 16 × 18 cm defect confirmed on computed tomography (CT). A two-stage surgical approach was chosen: preoperative progressive pneumoperitoneum followed by hernia repair using mesh and the modified Carbonell-Bonafé ACS technique. This method allowed tension-free closure with minimal soft tissue disruption. The patient recovered uneventfully, and imaging at four months confirmed no recurrence. The Carbonell-Bonafé technique was selected due to its advantages in preserving perforator vessels, minimizing wound complications, and allowing safe closure of large and recurrent hernias. Its incorporation of prosthetic reinforcement and preoperative pneumoperitoneum makes it especially valuable for complex cases. This report illustrates the technique's effectiveness and educational relevance for surgeons managing similar challenging scenarios. This case highlights the clinical utility of the modified Carbonell-Bonafé, which represents a safe and effective tool for reconstructing complex abdominal wall defects, expanding surgical options for giant and recurrent ventral hernias. This approach minimizes wound complications and preserves skin vascularization, enhancing functional recovery compared to traditional methods.

Indexed as

abdominal wall surgerycarbonell-bonafé techniquecomponent separationgiant ventral herniapneumoperitoneum

Identifiers

PMID40900977
PMCPMC12400475

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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.