Evidence map›Paper›PMID 42060593›Full record

ArticlePloS one2026

Robotic versus open component separation: A retrospective cohort and propensity score analysis of complication rates and clinical outcomes.

Silvana Maldonado, Carlos Gonzales, Anshumi Desai, Jiddu Guart, Alba Zevallos Ventura, Bryan Valcarcel, Joseph Escandon, Natalia Mejia, Camila Franco Mesa, J Smith Torres Roman and 6 more

Abstract readComparative Study
In one paragraph

Article in PloS one, 2026. 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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1 · What the graph read from it

What it found

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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

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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

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5 · Who and what money

Authors and funding

16 authors.

Silvana MaldonadoUniversidad Cientifica del Sur, Lima, Peru.
Carlos GonzalesUniversidad Cientifica del Sur, Lima, Peru.
Anshumi DesaiDepartment of Plastic Surgery, University of Miami Miller School of Medicine, Miami, Florida, United States of America.
Jiddu GuartUniversity of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Alba Zevallos VenturaDepartment of Surgery, Loma Linda University, Loma Linda, California, United States of America.
Bryan ValcarcelDepartment of Lymphoma Myeloma, The University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.
Joseph EscandonDepartment of Surgery, Wyckoff Heights Medical Center, Brooklyn, New York, United States of America.ORCID https://orcid.org/0000-0002-8982-1950
Natalia MejiaDepartment of Plastic and Reconstructive Surgery, Temple University, Philadelphia, Pennsylvania, United States of America.ORCID https://orcid.org/0009-0002-5274-9956
Camila Franco MesaDepartment of Surgery, University of Texas Medical Branch at Galveston, Galveston, Texas, United States of America.
J Smith Torres RomanEscuela de Posgrado, Universidad Tecnologica del Peru, Lima, Peru.
Hamed SarikhaniDepartment of Emergency Medicine, Montefiore Medical Center, New York, New York, United States of America.
Jose Luis BarruetoUniversidad Cientifica del Sur, Lima, Peru.
Gabriel De la Cruz KuUniversidad Cientifica del Sur, Lima, Peru.ORCID https://orcid.org/0000-0003-4203-3890
Donald CzerniachUniversity of Massachusetts Medical School, Worcester, Massachusetts, United States of America.
Sameer PatelDepartment of Plastic and Reconstructive Surgery, Temple University, Philadelphia, Pennsylvania, United States of America.
Adam WalchakDepartment of Plastic and Reconstructive Surgery, Temple University, Philadelphia, Pennsylvania, United States of America.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundComplex ventral hernias are a surgical challenge associated with high morbidity and healthcare costs. Component separation techniques have improved throughout the years with better outcomes, although the optimal approach remains debated. Robotic surgery has shown promising outcomes as an alternative to open repair, although data in large multicenter studies is still limited.

methodsA retrospective cohort study was conducted using the American College of Surgeons National Surgical Quality Improvement Program (ACS-NSQIP) database. Adult patients undergoing component separation for ventral hernia repair were identified using CPT and ICD codes. Outcomes included 30-day surgical, wound, medical, and overall complications, as well as length of stay and readmission. Multivariable logistic regression and propensity score matching were applied to adjust for baseline differences.

resultsA total of 6,207 patients were included, from those 4,443 (71.6%) underwent open technique and 1,764 (28.4%) robotic. After propensity matching (n = 5,259), robotic repair was independently associated with significantly lower overall complication rates (4.8% vs. 19.6%, aOR 0.193, 95% CI 0.140-0.265, p < 0.001), including wound (2.2% vs. 10.2%, aOR 0.164, p < 0.001), surgical (2.9% vs. 10.0%, aOR 0.271, p < 0.001), and medical complications (2.0% vs. 7.0%, aOR 0.229, p < 0.001). Robotic surgery was also associated with shorter length of stay (1.34 vs. 3.86 days, p < 0.001) and lower readmission rates (4.4% vs. 9.1%, p < 0.001).

conclusionsRobotic component separation for ventral hernia repair is associated with lower postoperative complication rates, shorter length of stay, and fewer readmissions compared to the open approach. These benefits remained significant after multivariate analysis and propensity score matching, supporting the robotic technique as an effective strategy. Prospective studies are warranted to evaluate long-term outcomes, including recurrence, and to assess cost-effectiveness to optimize evidence-based surgical decision-making.

Indexed as

Hernia, VentralHerniorrhaphyPostoperative ComplicationsRobotic Surgical ProceduresAgedFemaleHumansLength of StayMaleMiddle AgedPatient ReadmissionPropensity ScoreRetrospective StudiesTreatment Outcome

Identifiers

PMID42060593
PMCPMC13132243

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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.