Evidence map›Paper›PMID 32653970›Full record

ArticleInternational urogynecology journal2021

Predictive approach in managing voiding dysfunction after surgery for deep endometriosis: a personalized nomogram.

Elie Vesale, Horace Roman, Carole Abo, Louise Benoit, Jean-Jacques Tuech, Emile Darai, Sofiane Bendifallah

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In one paragraph

Article in International urogynecology journal, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
0.8field-weighted citation impact, top 25% of its field
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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Review
  6. Article
  7. Impact of nerve-sparing posterolateral parametrial excision for deep infiltrating endometriosis on postoperative bowel, urinary, and sexual function.International journal of gynaecology and obstetrics: the official organ of the International Federation of Gynaecology and Obstetrics · 2022
    Article
  8. Article
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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

7 authors at 2 institutions in 1 country.

Elie VesaleDepartment of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Sorbonne University, 4 rue de la Chine, 75020, Paris, France.
Horace RomanClinique Tivoli-Ducos, Bordeaux, France.
Carole AboExpert Center in the Diagnosis and Multidisciplinary Management of Endometriosis, Rouen University Hospital, Rouen, France.
Louise BenoitDepartment of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Sorbonne University, 4 rue de la Chine, 75020, Paris, France. louise.am.benoit@gmail.com.ORCID http://orcid.org/0000-0002-0871-1793
Jean-Jacques TuechDepartment of Surgery, Rouen University Hospital, Rouen, France.
Emile DaraiDepartment of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Sorbonne University, 4 rue de la Chine, 75020, Paris, France.
Sofiane BendifallahDepartment of Gynecology and Obstetrics, Tenon University Hospital, Assistance Publique des Hôpitaux de Paris (AP-HP), Sorbonne University, 4 rue de la Chine, 75020, Paris, France.
Sorbonne Université · FRUniversité de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

introduction and hypothesisThe aim was to develop a nomogram based on clinical and surgical factors to predict the likelihood of voiding dysfunction after surgery for deep endometriosis.

methodsThis was a retrospective study of 789 patients (training set) who underwent surgery for deep endometriosis with colorectal involvement from January 2005 through December 2017 at Tenon University Hospital. A multivariate logistic regression analysis of selected risk factors was performed to construct a nomogram to predict postoperative voiding dysfunction. The nomogram was externally validated in 333 patients (validation set) from Rouen University Hospital.

resultsPostoperative voiding dysfunction occurred in 23% of the patients (180/789) in the training set. Age, colorectal involvement/management, colpectomy and parametrectomy were the main factors associated with an increased risk of voiding dysfunction and were included in the nomogram. The predictive model had an internal concordance index of 0.79 (95% CI: 0.77-0.81) after the 200 repetitions of bootstrap sample corrections and showed good calibration. The ROC area related to the nomogram for external validation was 0.74 (95% CI: 0.72-0.76).

conclusionsThe nomogram we present here, based on four clinical and imaging characteristics, could be useful in predicting postoperative voiding dysfunction for women undergoing surgery for deep endometriosis. Patients could thus be better informed about this postoperative risk and the surgical strategy adapted according to individual risk. The accuracy of the tool was validated externally but additional validation is required.

Indexed as

EndometriosisNomogramsFemaleHumansRetrospective StudiesRisk FactorsDeep endometriosisNomogramPredictive modelSurgeryVoiding dysfunction

Identifiers

PMID32653970
OpenAlexW3041530496

What OpenQuestion holds

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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.