Evidence map›Paper›PMID 41359118›Full record

ArticleUrolithiasis2025

A novel preoperative risk score for predicting Urosepsis after percutaneous nephrolithotomy: validation and clinical application.

Heng Yang, Yujun Chen, Weiwen Hu, Xiaofeng Cheng, Ruohui Huang, Biao Qian, Gongxian Wang, Fu Huan

Erratum issuedAbstract readValidation Study
PubMed Publisher
In one paragraph

Article in Urolithiasis, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. 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

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

3 citing papers in PubMed.

  1. Article
  2. Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

8 authors.

Heng Yang *Department of Urology, Henan Provincial People's Hospital, Zhengzhou , 462000, Henan, China.
Yujun Chen *Jiangxi Provincial Key Laboratory of Urinary System Diseases, Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang, 330006, Jiangxi, China.
Weiwen Hu *Department of Ophthalmology, The First Affiliated Hospital, Jiangxi medical college, Nanchang University, Nanchang , 330006, Jiangxi, China.
Xiaofeng ChengWuhan Integrated Traditional Chinese and Western Medicine Hospital (Wuhan First Hospital), Institute of Urology, Wuhan, 430000, China.
Ruohui HuangFirst Affiliated Hospital of Gannan Medical University, Institute of Urology, Ganzhou, 341000, China.
Biao QianFirst Affiliated Hospital of Gannan Medical University, Institute of Urology, Ganzhou, 341000, China.
Gongxian WangJiangxi Provincial Key Laboratory of Urinary System Diseases, Department of Urology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang, 330006, Jiangxi, China.
Fu HuanDepartment of Anesthesiology, The First Affiliated Hospital, Jiangxi Medical College, Nanchang University, Nanchang, 330006, Jiangxi, China. ndyfy06109@ncu.edu.cn.

Funding

Ganzhou 2020 Guiding Science and Technology Program Project GZ2020ZSF060
6 · The paper itself

Abstract

Urinary tract infection (UTI) is a common and serious complication after percutaneous nephrolithotomy (PCNL).This study develops and validates the PuRass scoring system to predict the risk of UTI, including urinary sepsis, after PCNL and support personalized clinical Management. A retrospective analysis of 293 PCNL patients was conducted, incorporating multiple risk factors, including gender, age, diabetes, preoperative white blood cell count, urine analysis and culture results, stone size and type, and the degree of hydronephrosis. Significant risk factors were identified through meta-analysis and integrated into PuRass, with each factor weighted according to its odds ratio (OR) value to establish a quantitative risk assessment model. Results showed that gender, age, diabetes, elevated white blood cell count, and positive urine analysis and culture results significantly increased the risk of post-PCNL UTI. The PuRass model demonstrated excellent predictive performance in ROC curve analysis, achieving 90% sensitivity and 89.4% specificity, with an optimal threshold of 8.5 points. Early intervention strategies based on PuRass effectively reduced infection rates and hospital stays in high-risk patients. This study indicates that PuRass provides a reliable tool for predicting and managing post-PCNL UTI. Future multicenter studies will further validate its clinical applicability and explore its integration with emerging technologies to enhance postoperative management.

Indexed as

Kidney CalculiNephrolithotomy, PercutaneousPostoperative ComplicationsSepsisUrinary Tract InfectionsAdultAgedFemaleHumansMaleMiddle AgedPredictive Value of TestsRetrospective StudiesRisk AssessmentRisk FactorsROC CurveMeta-AnalysisPercutaneous nephrolithotomyPersonalized managementRisk assessmentRisk assessment scoring systemUrinary tract infection

Identifiers

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Registered trials

None linked

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.