SynthesisWorld journal of urology2025
The incidence and classification of intraoperative adverse events in urological surgery: a systematic review.
Synthesis in World journal of urology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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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.
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.
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Who cites it
1 citing paper in PubMed.
- Artificial intelligence for enhanced classification of intraoperative complications in urology.World journal of urology · 2025Article
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Authors and funding
11 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo perform a systematic review (SR) to examine the application of classification systems (CS) used to report intraoperative adverse events (iAEs) in urological surgery and to evaluate the crude incidence and type of iAEs. MATERIALS AND
methodsThis review was published via PROSPERO (CRD42024549954) and conducted following the Preferred Reporting Items for Systematic Reviews and Meta-analyses (PRISMA). MEDLINE, Embase, and the Cochrane CENTRAL were searched using a predefined PICO framework: (P) patients with benign and malignant urological diseases, (I) all types of urological surgery, (C) none/any, (O) intraoperative complications classified with grading systems. Retrospective and prospective studies published between January 2019 and June 2024 were included.
resultsThe search yielded 1,570 abstracts, 1,043 full-text articles were assessed for eligibility, of which 325 studies reported iAEs (54 used iAE-CS, 64 used Clavien-Dindo Classification and 207 used free-text descriptions). Of the 54 studies (15,298 patients) that used an iAE-CS, the three most used systems were the EAUiaiC (54%), SATAVA (26%), and the modified SATAVA (7%). The overall incidence of iAE was 14% (2,153/15,225 patients). On a study level, the crude incidence of iAE was between 0 and 100% (median 7%, IQR: 3-13%). The misapplication of the Clavien-Dindo system to describe iAEs was high (n = 64 studies).
conclusionsThe use of iAE-CS is scarce, and there is a lack of universal consensus on a CS to describe iAEs. iAE are poorly reported in urological studies. Urologists should report all perioperative complications to improve transparency and surgical and hospital processes.
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Registered trials
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.