Evidence map›Paper›PMID 39814834›Full record

ArticleScientific reports2025

Development and validation of nomograms for predicting pentafecta outcomes before and after robot-assisted radical prostatectomy: a retrospective study.

Tanan Bejrananda, Kiyoshi Takahara, Dutsadee Sowanthip, Tomonari Motonaga, Kota Yagi, Wataru Nakamura, Masanobu Saruta, Takuhisa Nukaya, Masashi Takenaka, Kenji Zennami and 4 more

Abstract readValidation Study
In one paragraph

Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

14 authors.

Tanan BejranandaDivision of Urology, Department of Surgery, Faculty of Medicine, Prince of Songkla University, Hat Yai, Songkhla, Thailand. T13ers@hotmail.com.
Kiyoshi TakaharaDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan. takahara@fujita-hu.ac.jp.
Dutsadee SowanthipDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Tomonari MotonagaDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Kota YagiDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Wataru NakamuraDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Masanobu SarutaDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Takuhisa NukayaDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Masashi TakenakaDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Kenji ZennamiDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Manabu IchinoDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Hitomi SasakiDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Makoto SumitomoDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.
Ryoichi ShirokiDepartment of Urology, Fujita Health University School of Medicine, Toyoake, Aichi, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Prostate cancer (PCa) is one of the most common cancers among men worldwide, and robot-assisted radical prostatectomy (RARP) is a widely used treatment for localized PCa. Achieving pentafecta outcomes, which include continence, potency, cancer control, free surgical margins, and no major complications, is a critical measure of surgical success and long-term prognosis. However, predicting these outcomes remains challenging. In this retrospective, single-center study, we analyzed data from 1,752 patients who underwent RARP for localized prostate adenocarcinoma between August 2009 and April 2023. The pentafecta outcome was achieved in 290 patients (16.6%). Multivariate analysis revealed that bilateral nerve sparing significantly increased the likelihood of achieving the pentafecta outcome (odds ratio 10.36, 95% CI: 5.75-18.66; p < 0.001). Preoperative potency and bilateral nerve sparing were also identified as key predictors. Nomograms were developed using preoperative and postoperative variables, including age, PSA level, biopsy Gleason score, clinical stage, pathological tumor stage, tumor grade, nerve sparing, and preoperative potency. Internal validation of the nomograms was performed using bootstrapping methods, demonstrating robust predictive performance. These nomograms provide valuable tools for personalized surgical planning and patient counseling and may be applicable to broader populations, given the inclusion of universally recognized predictive factors and rigorous validation. This study presents the development and validation of nomograms to predict pentafecta outcomes before and after RARP. These nomograms provide valuable tools for clinicians to estimate the likelihood of achieving postoperative pentafecta outcomes. Incorporating these nomograms into clinical practice may improve patient counseling and shared decision-making.

Indexed as

NomogramsProstatectomyProstatic NeoplasmsRobotic Surgical ProceduresAgedHumansMaleMiddle AgedNeoplasm GradingPrognosisRetrospective StudiesTreatment OutcomeNomogramPentafectaPredictionProstatectomyRobot-assisted radical prostatectomyRoboticSurgical outcomes

Identifiers

PMID39814834
PMCPMC11736099

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