Evidence map›Paper›PMID 40486981›Full record

ReviewEuropean journal of obstetrics & gynecology and reproductive biology: X2025

Splenectomy during cytoreductive surgery in advanced epithelial ovarian cancer can be predicted.

Thien-Kim Do, Yohann Dabi, Cyril Touboul, Jennifer Uzan, François Margueuritte, Geoffroy Canlorbe, Yohan Kerbage, Vincent Lavoué, Chérif Akladios, Lobna Ouldamer and 7 more

Abstract readReview
In one paragraph

Review in European journal of obstetrics & gynecology and reproductive biology: X, 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
0cells of the map it votes in
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

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

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

17 authors.

Thien-Kim DoSorbonne University - Department of Gynaecology and Obstetrics, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris 75020, France.
Yohann DabiSorbonne University - Department of Gynaecology and Obstetrics, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris 75020, France.
Cyril TouboulSorbonne University - Department of Gynaecology and Obstetrics, Hôpital Tenon, Assistance Publique-Hôpitaux de Paris (AP-HP), Paris 75020, France.
Jennifer UzanDepartment of Obstetrics Gynecology and Reproductive Medicine, University Paris Est Créteil, Centre Hospitalier Inter-Communal de Créteil, Creteil 94000, France.
François MargueuritteDepartment of Gynaecology, Centre Hospitalier Intercommunal de Poissy-Saint-Germain-en-Laye Site Hospitalier de Poissy, Poissy 78300, France.
Geoffroy CanlorbeDepartment of Gynecological and Breast Surgery and Oncology, Pitié-Salpêtrière, AP-HP, University Hospital, Paris 75013, France.
Yohan KerbageDepartment of Gynecologic Surgery, Jeanne de Flandre Hospital, CHU de Lille, Avenue Eugène Avinée, Loos 59120, France.
Vincent LavouéDepartment of Gynaecological Surgery, INSERM U1085, équipe 8, CRLC Eugène Marquis, Université de Rennes 1, Hôpital Sud, CHU de Rennes, Rennes 35000, France.
Chérif AkladiosDepartment of Gynaecology, Hôpitaux Universitaires de Strasbourg, Strasbourg 67000, France.
Lobna OuldamerDepartment of Gynaecology, Hôpital Universitaire de Tours, Tours 37000, France.
Hélène CostazDepartment of Surgical Oncology, Georges, Francois Leclerc Centre, Dijon 21231, France.
Alexandre BricouDepartment of Gynecology, Bobigny University, AP-HP, Jean-Verdier Hospital, Bondy 93140, France.
Henri AzaïsGynecologic and Breast Oncologic Surgery Department, Georges Pompidou European Hospital, APHP Centre, Paris 75015, France.
Pauline ChauvetDepartment of Gynaecology, CHU de Clermont Ferrand, Clermont Ferrand 63003, France.
Xavier CarcopinoDepartment of Obstetrics and Gynaecology, Hôpital Nord, APHM, Aix-Marseille University (AMU), University Avignon, CNRS, IRD, IMBE, UMR 7263, Marseille 13005, France.
Cyrille HuchonDepartment of Gynecology and Obstetrics, Lariboisiere Hospital, AP-HP, University of Paris Cité, Paris 75010, France.
Camille MimounDepartment of Gynecology and Obstetrics, Lariboisiere Hospital, AP-HP, University of Paris Cité, Paris 75010, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Splenectomy may be necessary for complete cytoreductive surgery (CRS) in advanced stage epithelial ovarian cancer (AS-EOC), potentially raising perioperative morbidity and necessitating specific patient management. Objective: This study aimed to develop a predictive score of splenectomy in CRS of AS-EOC. Materials and methods: Data from histologically confirmed AS-EOC (FIGO IIB-IV) before CRS and diagnosed between 01/01/2000 and 01/06/2017, were extracted from the FRANCOGYN multicentric database (14 French hospitals). After identifying predictive factors of splenectomy, we performed a logistic regression to develop a prediction model and construct a risk score, allowing identification of a high-risk group. Model discrimination was assessed using a Receiver Operating Characteristic (ROC) curve. Decision Curve Analysis (DCA) was then conducted to evaluate the model's net clinical benefit across a range of threshold probabilities. Results: Among 1288 patients included, 7 % (n = 91) underwent splenectomy. Four independent variables statistically associated with splenectomy were identified: age < 60 years (aDOR = 1.76, 95 % CI [1.13-2.75], p = 0.015), omental cake (aDOR = 2.12, 95 % CI [1.11-4.08], p = 0.024), diaphragmatic carcinosis (aDOR = 2.36, 95 % CI [1.34-4.18], p = 0.001), and digestive involvement at initial CT and/or laparoscopy (aDOR = 3.24, 95 % CI [1.93-5.43], p < 0.001). The ROC-AUC of this prediction model was 0.76. Patients meeting all 4 criteria with a maximum of 10 points defined the high-risk group and had a splenectomy probability of 32 % (95 % CI [22.00-44.31]), with a specificity of 95.8 % (95 % CI [94.5-96.9]) and a positive likelihood ratio of 6.31 (95 % CI [4.08-9.78]). The DCA showed a positive net clinical benefit of the model between 15 % and 40 % threshold probabilities. Conclusion: Using a simple 4 - variable predictive score, patients at high risk of splenectomy during CRS in AS-EOC could be identified to improve patients' preoperative information and perioperative management.

Indexed as

Advanced epithelial ovarian cancerCytoreductive surgeryPredictive factorsRisk groupScoreSplenectomy

Identifiers

PMID40486981
PMCPMC12143630

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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.