Evidence map›Paper›PMID 40474024›Full record

ArticleJournal of robotic surgery2025

Comparison of different scoring systems for prediction of postoperative complications after robot-assisted radical prostatectomy.

Ahmet Burak Yilmaz, Kamal Karimzada, Ali Yasin Ozercan, Ozan Yurdakul, Tanju Keten, Ozer Guzel, Altug Tuncel

Abstract readComparative StudyEvaluation StudyMulticenter Study
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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. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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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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

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors.

Ahmet Burak YilmazDepartment of Urology, Ministry of Health, Sincan Training and Research Hospital, Ankara, Turkey.
Kamal KarimzadaDepartment of Urology, University of Health Sciences, Ankara Bilkent City Hospital, Ankara, Turkey.
Ali Yasin OzercanDepartment of Urology, Ministry of Health, Kayseri City Hospital, Kayseri, Turkey.
Ozan YurdakulDepartment of Urology, Medical University of Vienna, Vienna, Austria.
Tanju KetenDepartment of Urology, University of Health Sciences, Ankara Bilkent City Hospital, Ankara, Turkey.
Ozer GuzelDepartment of Urology, University of Health Sciences, Ankara Bilkent City Hospital, Ankara, Turkey.
Altug TuncelDepartment of Urology, University of Health Sciences, Ankara Bilkent City Hospital, Ankara, Turkey. tuncelaltug@yahoo.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the predictive value of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) score, Comorbidity Score for Robotic Surgery (CRS) and Charlson Comorbidity Index (CCI) in relation to postoperative complications in patients undergoing robot-assisted radical prostatectomy (RARP). A total of 374 patients who underwent RARP were retrospectively analyzed. Patients were divided into two groups based on the presence (n = 50) or absence (n = 324) of postoperative complications, as classified by the Modified Clavien-Dindo system. Demographics, comorbidities, ASA and ECOG scores, perioperative data, E-PASS score, CRS, and CCI scores were compared between groups. Logistic regression analyses were performed to identify independent risk factors for complications, and receiver operating characteristic curves were used to assess the discriminative ability of each scoring system. According to the Clavien-Dindo classification, 60% of complications were Grade 2, followed by Grade 1 (26%) and Grade 3 (8%). Patients with complications had significantly higher rates of hypertension (p = 0.018), diabetes mellitus (p = 0.015), ECOG score (p < 0.001), ASA score (p = 0.02), longer operation time (p = 0.02), higher E-PASS score (p < 0.001) and CRS score (p = 0.007). The CCI did not show a significant difference between the groups (p = 0.54). In the multivariate logistic regression analysis, only the E-PASS score was the independent risk factor for postoperative complications (Odds Ratio: 18.633, 95% CI: 3.644-94.749, p < 0.001). The E-PASS score appears to be an independent risk factor for postoperative complications following RARP, whereas the CRS and CCI failed to show significant prognostic value in this cohort. Integrating E-PASS parameters into preoperative evaluation may enhance postoperative risk stratification and inform patient counseling strategies.

Indexed as

Postoperative ComplicationsProstatectomyRisk AssessmentRobotic Surgical ProceduresSeverity of Illness IndexAdultAgedAged, 80 and overComorbidityHumansLogistic ModelsMaleMiddle AgedPredictive Value of TestsProstatic DiseasesRetrospective StudiesCCI scoreComplicationsCRS scoreE-PASSRobotic prostatectomy

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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.