Evidence map›Paper›PMID 40958885›Full record

ArticleEuropean urology open science2025

Development of the CAMUS Intra- and Postoperative Risk and Difficulty Estimation Indices Risk Prediction Tool for Estimating Peri- and Postoperative Outcomes, Including Surgical Difficulty, in Major Urological Surgery-A Protocol for a Delphi Study.

Christopher Soliman, Patrick Y Wuethrich, Jochen Walz, Niall M Corcoran, Nathan Lawrentschuk, Anna Walde, Marc A Furrer

Abstract read
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Article in European urology open science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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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.

Christopher SolimanDepartment of Urology, The University of Melbourne, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Patrick Y WuethrichDepartment of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Jochen WalzDepartment of Urology, Institut Paoli-Calmettes Cancer Centre, Marseille, France.
Niall M CorcoranDepartment of Urology, The University of Melbourne, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Nathan LawrentschukDepartment of Urology, The University of Melbourne, Royal Melbourne Hospital, Parkville, Victoria, Australia.
Anna WaldeDepartment of Anaesthesiology and Pain Medicine, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland.
Marc A FurrerDepartment of Urology, The University of Melbourne, Royal Melbourne Hospital, Parkville, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This protocol will outline the development of the CAMUS Intra- and Postoperative Risk and Difficulty Estimation Indices (IPRADES), a tool designed to predict perioperative outcomes and surgical complexity in major urological procedures. Its objective will be to enhance preoperative planning and risk stratification by systematically evaluating a range of patient-, organ-, and surgery-specific factors. The study will be conducted in three phases. Firstly, expert consensus will be established through a Delphi survey involving experienced high-volume surgeons to identify key parameters influencing surgical difficulty and complications. Secondly, data will be collected from the CAMUS Collaboration database and augmented with additional parameters from a prospective open cystectomy database. Thirdly, using this extensive dataset, a nomogram will be developed to evaluate the association between the identified parameters and postoperative complications, as well as to quantify their predictive values. Each parameter will be assigned a weighted significance, which will be integrated into the final risk prediction model. Statistical analyses will incorporate multivariable regression models to identify predictors of complications and mortality. The model's performance will be evaluated through c-statistics, Hosmer-Lemeshow tests, and Brier scores, with internal validation performed via dataset splitting and bootstrap resampling. Additionally, the study will compare the predictive accuracy of universal versus procedure-specific models. The tool will not only account for patient and surgical factors, but also incorporate the influence of surgeon experience and learning curves on surgical outcomes. A web-based calculator will be developed to facilitate seamless integration into daily clinical practice, providing real-time risk assessments. Following validation, the CAMUS IPRADES tool will refine surgical planning, optimise resource allocation, and enhance patient counselling. By delivering data-driven risk assessments, it will further enable surgeon and institutional benchmarking, thereby contributing to education, training, and clinical research. Ultimately, this tool will play a pivotal role in advancing the quality and safety of urological surgeries.

Indexed as

Consensus paperDelphi methodRisk stratificationSurgical difficultyUrological surgeries

Identifiers

PMID40958885
PMCPMC12434987

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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.