Evidence map›Paper›PMID 41553651›Full record

ArticleJournal of robotic surgery2026

Validation of the deep pelvis endometriosis index (dPEI) to evaluate surgical outcomes of robotic-assisted surgery for endometriosis.

Adèle Reilhac, Shiwa Mansournia, Yohann Dabi, Clément Ferrier, Marie Florin, Meryl Dahan, Cyril Touboul, Isabelle Thomassin-Naggara, Emile Daraï

Abstract readValidation Study
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Article in Journal of robotic surgery, 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

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

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Adèle ReilhacDepartment of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France. adelereilhac@hotmail.com.
Shiwa MansourniaDepartment of Radiology, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.
Yohann DabiDepartment of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.
Clément FerrierDepartment of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.
Marie FlorinDepartment of Radiology, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.
Meryl DahanDepartment of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.
Cyril TouboulDepartment of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.
Isabelle Thomassin-NaggaraClinical Research Group (GRC6) Paris 6, Centre Expert En Endométriose (C3E), Sorbonne University (GRC6 C3E), Paris, France.
Emile DaraïDepartment of Obstetrics and Reproductive Medicine, Hospital Tenon, Sorbonne University, 4 rue de la Chine, Paris, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The Deep Pelvic Endometriosis Index (dPEI) is a preoperative MRI-based score initially validated to predict surgical outcomes in patients undergoing laparoscopic treatment for deep pelvic endometriosis (DPE). Its applicability in robotic-assisted laparoscopy (RAL) has not yet been established. This study aimed to evaluate whether the dPEI can predict surgical outcomes following RAL for DPE. From February 2019 to December 2024, a retrospective analysis from a prospective database including patients undergoing RAL for DPE at Tenon Hospital, Paris, was performed. Preoperative staging was based on MRI and the dPEI scoring system, which evaluates the involvement of different anatomical compartments by deep endometriosis. Patients were classified into three categories: mild endometriosis (dPEI ≤ 2), moderate endometriosis (dPEI 3-4), and severe endometriosis (dPEI ≥ 5). Surgical outcomes including operative time, hospital stay, postoperative complications using the Clavien-Dindo classification and voiding dysfunction were assessed. A hundred and seventy patients were included. Overall complication rate was 24.7%, including 7.7% Clavien-Dindo grade > II. De novo voiding dysfunction occurred in 10.6% of patients, lasting > 1 month in 4.1%. dPEI categories showed a positive correlation with longer operative time (Spearman's ρ = 0.40, p < 0.001) and increased hospital stay (Spearman's ρ = 0.43, p < 0.001) and were also significantly associated with higher rates of grade > II complications (OR = 13.1; 95% CI [1.54-111.3], p = 0.02) and high incidence of voiding dysfunction (OR = 5.9; 95% CI [1.48-23.5], p = 0.01). Involvement of lateral compartments was associated with high operative time, hospital stay, and de novo voiding dysfunction. Our results support the dPEI as a useful preoperative tool for predicting surgical outcomes after RAL for DPE. Its use can improve patient counseling, and shared decision-making, particularly in cases of severe disease (dPEI ≥ 5).

Indexed as

EndometriosisLaparoscopyPelvisRobotic Surgical ProceduresAdultFemaleHumansLength of StayMagnetic Resonance ImagingMiddle AgedOperative TimePostoperative ComplicationsRetrospective StudiesSeverity of Illness IndexTreatment OutcomeDPEIEndometriosisRobotic-assisted laparoscopySurgical outcomes

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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.