Evidence map›Paper›PMID 39709413›Full record

ArticleBMC urology2024

An internally validated prognostic nomogram model predicts the stone-free rate following endoscopic combined intrarenal surgery for renal stones.

Kaiqiang Wang, Zhi Cao, Wei Wang, Chenglin Yang, Haoxiang Xu, Yue Yang, Huifen Zhang, Xiaoming Zhang, Xiaofu Qiu

Abstract readValidation Study
In one paragraph

Article in BMC urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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3 · Its place in the literature

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2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

9 authors.

Kaiqiang WangThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Zhi CaoThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Wei WangThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China. wangweiccc@hotmail.com.
Chenglin YangThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Haoxiang XuThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Yue YangThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Huifen ZhangThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Xiaoming ZhangThe Department of Urology, General Hospital of Southern Theater Command, Guangzhou, 510010, China.
Xiaofu QiuThe Department of Urology, Guangdong Second Provincial General Hospital, Guangzhou, 510317, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundHere, we aim to develop and validate a viable prognostic nomogram model for predicting a stone-free rate of kidney stones patients based on retrospective cohort analysis.

methodsThis is a retrospective study that obtained a continuous cohort from the databases of two hospitals (General Hospital of Southern Theater Command, and Guangdong Second Provincial General Hospital), including 522 patients with kidney stones who underwent Endoscopic Combined Intrarenal Surgery (ECIRS) from January 2015 to December 2022.The characteristics of the primary cohort between the SF (stone-free) and SR (stone residue) groups were identified using single factor and multivariate logistic regression analyses. Factors in the main cohort were identified using minimal absolute shrinkage and selective operator regression. A nomogram was then constructed using these factors for subsequent analyses. Finally, a calibration curve, a receiver operating characteristic curve (ROC), and a decision curve analysis (DCA) curve were analyzed and plotted, and then used to test the predictive value of the nomogram in both calibration and discrimination.

resultsHydronephrosis, Renal Infundibular Length (RIL), Renal Infundibular Width (RIW), stone burden, and number of calyces involved were revealed to be significant factors in the prediction of stone-free rate after ECIRS. These five factors were used to develop a nomogram with good calibration and differentiation. The area under the curve (AUC) was 0.811 (95% CI: 0.766-0.856). The DCA demonstrated that the nomogram has clinical utility.

conclusionsHydronephrosis, renal infundibular length, renal infundibular width, stone burden, and number of involved calyces were all significantly linked with residual stone after ECIRS. A nomogram created with these five factors showed good calibration, differentiation, and clinical usefulness.

Indexed as

Disease-Free SurvivalKidney CalculiAdultFemaleHumansMaleMiddle AgedNomogramsRetrospective StudiesECIRSKidney stonesLASSO regressionNomogramStone free rate

Identifiers

PMID39709413
PMCPMC11662410

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