ArticleFrontiers in pediatrics2022
A nomogram for predicting upper urinary tract damage risk in children with neurogenic bladder.
Article in Frontiers in pediatrics, 2022. 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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Who cites it
2 citing papers in PubMed.
- Artificial Intelligence for Predicting Treatment Failure in Neurourology: From Automated Urodynamics to Precision Management.International neurourology journal · 2025Article
- Development of a machine learning model for predicting renal damage in children with closed spinal dysraphism.BMC pediatrics · 2025Article
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Authors and funding
9 authors.
Funding
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Abstract
Purpose: To establish a predictive model for upper urinary tract damage (UUTD) in children with neurogenic bladder (NB) and verify its efficacy. Methods: A retrospective study was conducted that consisted of a training cohort with 167 NB patients and a validation cohort with 100 NB children. The clinical data of the two groups were compared first, and then univariate and multivariate logistic regression analyses were performed on the training cohort to identify predictors and develop the nomogram. The accuracy and clinical usefulness of the nomogram were verified by receiver operating characteristic (ROC) curve, calibration curve and decision curve analyses. Results: There were no significant differences in other parameters between the training and validation cohorts except for age (all Conclusion: This study presents an effective nomogram incorporating five clinical characteristics that can be conveniently applied to assess NB children' risk of progressing to UUTD.
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