Evidence map›Paper›PMID 41452536›Full record

ArticleJournal of robotic surgery2025

Prediction of postoperative complications after robotic radical cystectomy: comparison of four preoperative scores.

Marco Covotta, Claudia Claroni, Valentina Ceccarelli, Lucio Morettini, Ruggero Vacirca, Walter Gallese, Sara Orlando, Gaetano Gazzè, Patrizio Papa, Giulia Torregiani

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Journal of robotic surgery, 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

10 authors.

Marco Covotta *Department of Anesthesiology, Intensive Care and Pain Therapy, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Claudia Claroni *Department of Anesthesiology, Intensive Care and Pain Therapy, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Valentina CeccarelliDepartment of Anesthesiology, Intensive Care and Pain Therapy, IRCCS Regina Elena National Cancer Institute, Rome, Italy. valentina.ceccarelli@ifo.it.
Lucio MorettiniResearch Institute on Sustainable Economic Growth, National Research Council of Italy, Rome, Italy.
Ruggero VacircaDepartment of Anesthesiology, Intensive Care and Pain Therapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Walter GalleseDepartment of Anesthesiology, Intensive Care and Pain Therapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Sara OrlandoDepartment of Anesthesiology, Intensive Care and Pain Therapy, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Gaetano GazzèDepartment of Anesthesiology, Intensive Care and Pain Therapy, Policlinico Umberto I, Sapienza University of Rome, Rome, Italy.
Patrizio PapaDepartment of Anesthesiology, Intensive Care and Pain Therapy, IRCCS Regina Elena National Cancer Institute, Rome, Italy.
Giulia TorregianiDepartment of Anesthesiology, Intensive Care and Pain Therapy, IRCCS Regina Elena National Cancer Institute, Rome, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Robot-assisted radical cystectomy (RARC) with intracorporeal urinary diversion has become a standard option for muscle-invasive bladder cancer, although perioperative morbidity remains substantial. This retrospective study evaluated four preoperative scores - American Society of Anesthesiology physical status (ASA), Estimation of Physiologic Ability and Surgical Stress (E-PASS), Preoperative Score to Predict Postoperative Mortality (POSPOM), and Surgical Outcome Risk Tool (SORT) - to determine their ability to predict postoperative complications in 115 patients undergoing RARC. Logistic regression analyses demonstrated that E-PASS and operative time were the most significant predictors. A 0.01-point increase in E-PASS was associated with a 2.7% higher risk of complications, while each additional 10 min of operative time resulted in an 8% increase in risk. In contrast, ASA and POSPOM showed predictive value only when adjusted for operative time, and SORT did not demonstrate statistical significance. These findings indicate that integrating physiological reserve and surgical stress, as reflected in E-PASS, provides superior perioperative risk stratification in RARC. Additionally, the results highlight the importance of minimizing operative time, underscoring the role of surgical expertise and procedural efficiency in improving postoperative outcomes.

Indexed as

CystectomyPostoperative ComplicationsRobotic Surgical ProceduresUrinary Bladder NeoplasmsAgedFemaleHumansMaleMiddle AgedOperative TimePreoperative PeriodRetrospective StudiesOncologic patientsPostoperative complicationsPreoperative scoresRobotic surgeryUrological surgery

Identifiers

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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.