Evidence map›Paper›PMID 40274652›Full record

ArticleInternational journal of colorectal disease2025

Scoping review of indications for robotic ventral mesh rectopexy: addressing variability in patient selection.

Ugo Grossi, Simona Ascanelli, Nicola de'Angelis, Eugenia Sinatti, Angelo D'Ovidio, Carlo Alberto Schena, Gaetano Gallo, Eleonora Mollica, Antonino Lauria, Alvise Frasson and 2 more

Abstract readScoping Review
In one paragraph

Article in International journal of colorectal disease, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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

2 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 2025 Delphi consensus on robotic ventral mesh rectopexy.International journal of colorectal disease · 2025
    Guideline
  2. Review
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

12 authors.

Ugo GrossiDepartment of Surgery, Oncology and Gastroenterology - DiSCOG, University of Padova, Padua, Italy. ugo.grossi@unipd.it.ORCID http://orcid.org/0000-0001-5372-2873
Simona AscanelliUnit of Robotic and Minimally Invasive Digestive Surgery, Department of Surgery, Ferrara University Hospital Arcispedale Sant'Anna, Ferrara, Italy.ORCID http://orcid.org/0000-0002-1423-8576
Nicola de'AngelisUnit of Robotic and Minimally Invasive Digestive Surgery, Department of Surgery, Ferrara University Hospital Arcispedale Sant'Anna, Ferrara, Italy.ORCID http://orcid.org/0000-0002-1211-4916
Eugenia SinattiSurgery Unit 2, Regional Hospital Treviso 'Cittadella Della Salute', Treviso, Italy.ORCID http://orcid.org/0000-0002-6480-9381
Angelo D'OvidioGeneral Surgery Unit, Azienda ULSS, Serenissima, Mestre, Italy.ORCID http://orcid.org/0000-0001-7543-790X
Carlo Alberto SchenaUnit of Robotic and Minimally Invasive Digestive Surgery, Department of Surgery, Ferrara University Hospital Arcispedale Sant'Anna, Ferrara, Italy.ORCID http://orcid.org/0000-0003-1136-1103
Gaetano GalloDepartment of Surgery, Sapienza University of Rome, Rome, Italy.ORCID http://orcid.org/0000-0003-1066-4671
Eleonora MollicaDepartment of Surgery, Oncology and Gastroenterology - DiSCOG, University of Padova, Padua, Italy.ORCID http://orcid.org/0009-0006-3517-0888
Antonino LauriaDepartment of Surgery, Oncology and Gastroenterology - DiSCOG, University of Padova, Padua, Italy.
Alvise FrassonDepartment of Surgery, Hospital Sant' Antonio, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0002-0287-1278
Fabrizio VittadelloDepartment of Surgery, Hospital Sant' Antonio, University of Padova, Padua, Italy.ORCID http://orcid.org/0000-0003-1782-2150
Gabriele NaldiniProctology and Pelvic Floor Clinical Center, Cisanello University Hospital, Pisa, Italy.ORCID http://orcid.org/0000-0002-9252-1377

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionVentral mesh rectopexy (VMR) has gained popularity as a surgical solution for rectal prolapse. However, significant variability exists in patient selection criteria, preoperative evaluation, and reporting standards. This scoping review analyzes indications for robotic VMR (RVMR) and highlights areas requiring further standardization.

methodsThe review was conducted according to PRISMA-ScR guidelines. Comprehensive searches of PubMed, Scopus, and Web of Science were completed through December 4, 2024. Studies reporting on RVMR were screened in a three-step process, with disagreements resolved by consensus. Key data extracted included patient demographics, indications, preoperative workup, and surgical details. Superseded studies, reviews, and non-relevant articles were excluded.

resultsOf 783 articles identified, 24 studies comprising 930 patients met inclusion criteria. External rectal prolapse was the most common indication (47%), followed by intussusception (38%), rectocele (9%), combined abnormalities (5%), and enterocele (1%). Preoperative imaging was inconsistently reported, with only 67% of studies describing imaging protocols. Symptom-based indications using standardized scoring systems were rare (17%). Synthetic mesh was used in 87% of cases. RVMR showed favorable functional outcomes, with low recurrence and complication rates.

conclusionsSignificant heterogeneity exists in indications and preoperative evaluation for RVMR, limiting comparability across studies. While evidence supports its safety and efficacy, future research should focus on standardizing selection criteria and evaluating long-term outcomes.

Indexed as

Patient SelectionRectal ProlapseRobotic Surgical ProceduresSurgical MeshHumansTreatment OutcomeIndicationsRoboticScoping reviewSurgeryVentral mesh rectopexy

Identifiers

PMID40274652
PMCPMC12021707

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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.