Evidence map›Paper›PMID 40529010›Full record

ArticleTranslational andrology and urology2025

Improving outcomes in robot-assisted urologic oncology surgery using a perioperative electronic health program.

Alae Touzani, Nam-Son Vuong, Alessandro Uleri, Giuseppe Fallara, Alberto Martini, Naoufel Miaadi, Nordine Deffar, Adil Ouzzane, Benjamin Pradère, Jean Rouffilange and 4 more

Abstract read
In one paragraph

Article in Translational andrology and urology, 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

14 authors.

Alae TouzaniUrology Department, La Croix du Sud Hospital, Ramsay Santé Group, Quint Fonsegrives, France.ORCID https://orcid.org/0000-0003-3087-3518
Nam-Son VuongUrology Department, Saint-Augustin Hospital, Bordeaux, France.
Alessandro UleriUrology Department, APHM, Marseille, France.
Giuseppe FallaraSan Raffaele Scientific Institute, Milano, Italy.
Alberto MartiniUrology Department, University of Cincinnati College of Medicine, Cincinnati, OH, USA.
Naoufel MiaadiUrology Department, Sud Manche Hospital, Avranches, France.
Nordine DeffarUrology Department, Sainte Marguerite Hospital, Auxerre, France.
Adil OuzzaneUrology Department, Casablanca International Oncology Center, Casablanca, Morocco.
Benjamin PradèreUrology Department, La Croix du Sud Hospital, Ramsay Santé Group, Quint Fonsegrives, France.
Jean RouffilangeUrology Department, Saint-Augustin Hospital, Bordeaux, France.
Michaël BaboudjianUrology Department, APHM, Marseille, France.
Jean-Baptiste BeauvalUrology Department, La Croix du Sud Hospital, Ramsay Santé Group, Quint Fonsegrives, France.
Bernard MalavaudUrology Department, IUCT-O, Toulouse, France.
Guillaume PloussardUrology Department, La Croix du Sud Hospital, Ramsay Santé Group, Quint Fonsegrives, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Robotic surgery has demonstrated its ability to improve perioperative outcomes thanks to a minimally invasive approach. In addition, the implementation of a perioperative optimized pathway, including eHealth programs, may provide a synergistic effect and help facilitate recovery and reduce complications. The purpose of this study is to evaluate the impact of the BETTY COACHING program on the 90-day complication rate following robot-assisted oncologic urologic surgery. Methods: We conducted a study to evaluate the impact of the BETTY COACHING program, an app-based, multi-level perioperative digital pathway, on the 90-day complication rate following robot-assisted onco-urologic surgery. Patients were divided into two groups: one benefiting from our coaching program and the other receiving standard care without digital support. Data were analyzed from a prospectively maintained, multicenter registry. Secondary endpoints included hospital stay, readmission, number of days out of hospital, prolonged care at discharge, unplanned visits, and patient satisfaction. Results: A total of 196 consecutive patients undergoing radical prostatectomy, partial nephrectomy, or radical cystectomy were included in the analysis, with 98 patients in each group. Patients who followed our coaching program experienced significantly fewer post-operative complications [26.5% Conclusions: The addition of a digital optimized perioperative program improves 90-day outcomes after robot-assisted onco-urologic surgical procedures in terms of complications, readmission, prolonged care, and patient experience.

Indexed as

eHealthPrehabilitationremote monitoringsurgery

Identifiers

PMID40529010
PMCPMC12170264

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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.