Evidence map›Paper›PMID 41264016›Full record

ArticleWorld journal of urology2025

Predicting surgical outcomes in single-port robot-assisted partial nephrectomy: external validation and comparative analysis of PADUA, RENAL, and SPARE scores.

Filippo Carletti, Fabio Maria Valenzi, Flavia Tamborino, Alexandru Turcan, Valerio Santarelli, Arianna Biasatti, Luca Alfredo Morgantini, Hakan Bahadir Haberal, Srinivas Vourganti, Fabrizio Dal Moro and 2 more

Abstract readComparative StudyValidation StudyMulticenter Study
In one paragraph

Article 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 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 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

12 authors.

Filippo CarlettiDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA. filippocarletti1@gmail.com.
Fabio Maria ValenziDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Flavia TamborinoDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Alexandru TurcanDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Valerio SantarelliDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Arianna BiasattiDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.
Luca Alfredo MorgantiniDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Hakan Bahadir HaberalDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.
Srinivas VourgantiDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.
Fabrizio Dal MoroUrology Clinic, Department of Surgery, Oncology and Gastroenterology, University of Padua, Padua, Italy.
Riccardo AutorinoDepartment of Urology, Rush University Medical Center, Chicago, IL, USA.
Simone CrivellaroDepartment of Urology, University of Illinois at Chicago, Chicago, IL, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNephrometry scores are essential tools for classifying and comparing tumor complexity and guiding surgical planning in partial nephrectomy. However, their performance in single-port robot-assisted partial nephrectomy (SP-RAPN) has not been formally assessed. We aimed to externally validate and compare the predictive performance of the Preoperative Aspects and Dimensions Used for an Anatomical (PADUA), Radius-Exophytic/Endophytic-Nearness-Anterior/Posterior-Location (RENAL), and Simplified PADUA Renal (SPARE) nephrometry scores in patients undergoing SP-RAPN.

methodsWe retrospectively reviewed 211 consecutive patients who underwent SP-RAPN for solitary ≤ cT2 renal tumors at two academic centers between 2019 and 2024. The primary endpoint was Trifecta achievement, defined as the simultaneous presence of negative surgical margins, absence of perioperative complications, and warm ischemia time ≤ 25 min. Discrimination and clinical utility of each nephrometry score were assessed using receiver operating characteristic (ROC) curve analysis and decision curve analysis (DCA). Multivariable logistic regression adjusted for relevant clinical covariates.

resultsTrifecta was achieved in 50.7% of patients. The SPARE score demonstrated the highest discriminative performance (AUC 0.681), followed by PADUA (0.661) and RENAL (0.654), though these differences were not statistically significant. DCA showed overlapping net benefit curves, with SPARE offering marginally superior. Limitations include the retrospective design and underrepresentation of highly complex tumors.

conclusionsPADUA, RENAL, and SPARE scores show comparable performance in predicting Trifecta achievement in the setting of SP-RAPN. SPARE may perform slightly better, and it represents a more practical choice for routine preoperative assessment due to its ease of use.

Indexed as

Kidney NeoplasmsNephrectomyRobotic Surgical ProceduresAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesTreatment Outcomenephrometry scoresoutcomesPADUARAPNRENALsingle portSingle-port robot-assisted partial nephrectomySPSPARESP-RAPNtrifecta

Identifiers

PMID41264016
PMCPMC12634722

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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.