Evidence map›Paper›PMID 41508390›Full record

ArticleThe world journal of men's health2026

Evaluating the Impact of Centralizing Artificial Urinary Sphincter Implantation Services in France: A National Population-Based Model on Travel Times, Equity, and Patient Outcomes.

Louis Lenfant, Yoann Taillé, Emmanuel Chartier-Kastler, Bertrand Lukacs, Thomas Seisen, Morgan Roupret, Aurélien Beaugerie, Eric Vicaut, Pierre C Mozer

Abstract read
In one paragraph

Article in The world journal of men's health, 2026. 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

9 authors.

Louis LenfantDepartment of Urology, Pitié Salpêtrière Academic Hospital, Sorbonne Université, Assistance Publique - Hôpitaux de Paris, Paris, France. louis.lenfant@aphp.fr.ORCID https://orcid.org/0000-0001-9852-4002
Yoann TailléUnité de Recherche Clinique, Hôpitaux Saint Louis-Lariboisière-Fernand Widal, Université Paris Cité, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0002-6157-1400
Emmanuel Chartier-KastlerDepartment of Urology, Pitié Salpêtrière Academic Hospital, Sorbonne Université, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0003-4241-8125
Bertrand LukacsHealth Data Hub, Assistance Publique - Hôpitaux de Paris, Paris, France.
Thomas SeisenDepartment of Urology, Pitié Salpêtrière Academic Hospital, Sorbonne Université, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0002-3322-8285
Morgan RoupretDepartment of Urology, Pitié Salpêtrière Academic Hospital, Sorbonne Université, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0001-8440-7075
Aurélien BeaugerieDepartment of Urology, Pitié Salpêtrière Academic Hospital, Sorbonne Université, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0003-1836-928X
Eric VicautUnité de Recherche Clinique, Hôpitaux Saint Louis-Lariboisière-Fernand Widal, Université Paris Cité, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0001-6303-8557
Pierre C MozerDepartment of Urology, Pitié Salpêtrière Academic Hospital, Sorbonne Université, Assistance Publique - Hôpitaux de Paris, Paris, France.ORCID https://orcid.org/0000-0002-3525-388X

Funding

Association Nationale des Malades du Cancer de la ProstateLariboisière Fernand Widal Hospital
6 · The paper itself

Abstract

purposeHigher annual center volume for artificial urinary sphincter (AUS) implantation is associated with improved survival without device removal. We assessed the impact of four centralization scenarios on AUS removal rates, patient travel burden, and workload redistribution to inform healthcare policy. MATERIALS AND

methodsWe conducted a national, population-based cohort study using the Observapur database, which includes all men in France treated for prostate cancer or benign prostatic hyperplasia who underwent their first AUS implantation between 2006 and 2018. Patients were identified using reimbursement codes; 7,776 had complete geographic data. We modeled four centralization scenarios: (A) closure of very low-volume centers (<1 AUS procedure/year); (B) closure of low-volume centers (<5 procedures/year); (C) closure of centers performing <10 procedures/year with reallocation to high-volume centers (>20 procedures/year); and (D) closure of centers with the highest AUS removal rates. The primary outcome was the predicted 1- and 2-year AUS removal rate. Secondary outcomes included changes in travel distances and workload redistribution.

resultsAnnual closures ranged from 25 centers (Scenario A) to 138 centers (Scenario C), affecting 381 (Scenario A) to 3,250 (Scenario C) patients. Travel distances increased from -1.8 km (Scenario A) to +43.6 km (Scenario C). AUS removal risk was reduced across all scenarios at 2 years: Scenario A (24.0%), B (25.2%), C (33.8%), and D (19.3%). Workload redistribution was highest in Scenario C, where 65 centers experienced a >50% increase in procedures.

conclusionsCentralizing AUS implantation improves patient outcomes by reducing device removal rates, but the impact on additional workload varies. Scenario C offers the greatest survival benefit but imposes the highest travel and workload burden. Moderate centralization (Scenarios A or B) provides a balanced approach, improving outcomes while maintaining accessibility and feasibility.

Indexed as

Centralized hospital servicesDevice removalFollow-up studiesHealth servicesReoperation

Identifiers

PMID41508390
PMCPMC13646327

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.