Evidence map›Paper›PMID 42136046›Full record

ArticleActa obstetricia et gynecologica Scandinavica2026

A single centre multidisciplinary team retrospective review of fifty cases of robot-assisted surgery for diaphragmatic and thoracic endometriosis.

Peter Barton-Smith, Michal Kawka, Tom Routledge, Rupali Arora, Long R Jiao

Abstract read
In one paragraph

Article in Acta obstetricia et gynecologica Scandinavica, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

5 authors.

Peter Barton-SmithThe Endometriosis Clinic, The Platinum Medical Centre, London, UK.
Michal KawkaSchool of Health and Medical Sciences, City St George's, University of London, London, UK.ORCID https://orcid.org/0000-0002-5826-8355
Tom RoutledgeGuy's & St Thomas' Hospitals, London, UK.
Rupali AroraUniversity College London Hospital, London, UK.
Long R JiaoDepartment of Academic Surgery, The Royal Marsden Hospital, London, UK.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introductionDiaphragmatic and thoracic endometriosis (DTE) is considered rare, often presenting with non-specific cyclical thoracic symptoms. Diagnosis and surgical management remain challenging due to the need for cross-specialty expertise. This study reports the first series of robot-assisted surgeries for DTE performed by a single, consistent multidisciplinary team. MATERIAL AND

methodsThis was a retrospective case series of 50 consecutive DTE surgeries performed between July 2020 and March 2023 in a specialist private hospital in the United Kingdom. Procedures involving robot-assisted laparoscopy (RAL) for pelvic/diaphragmatic disease and/or robot-assisted video-assisted thoracoscopic surgery (RAVATS) for thoracic disease were included. All cases involved a multidisciplinary collaboration between gynecological, hepato-pancreato-biliary, and thoracic robotic surgeons. Data on presentation, operative metrics, histology, and 90-day outcomes were collected and analyzed.

resultsForty-six women underwent 50 procedures; 29 involved RAL only, 13 involved RAL with RAVATS, and 5 were RAVATS only. Median operative time was 236 min for three-compartment cases. No cases required conversion to open surgery. Endometriosis was confirmed histologically in 64.4% of abdominal diaphragm cases and 45% of thoracic cases. The right hemidiaphragm was most commonly affected. No Clavien-Dindo ≥II complications occurred. Combined three-compartment procedures were significantly shorter overall than staged approaches (p = 0.01).

conclusionsRobot-assisted surgery for DTE is safe, feasible, and may enhance disease recognition and excision, particularly when conducted by a dedicated multidisciplinary team. Simultaneous multi-compartment surgery improves operative efficiency and reduces the risk of incomplete treatment. DTE warrants evaluation in specialized centers, in a multidisciplinary fashion.

Indexed as

DiaphragmEndometriosisRobotic Surgical ProceduresThoracic DiseasesAdultFemaleHumansLaparoscopyMiddle AgedOperative TimePatient Care TeamRetrospective StudiesThoracic Surgery, Video-AssistedUnited Kingdomclinical outcomescohort studyendometriosisminimally invasive surgeryrobotic surgery

Identifiers

PMID42136046
PMCPMC13356462

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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.