Evidence map›Paper›PMID 42624767›Full record

ArticleJournal of pediatric urology2026

Web-based multi-variable computational models predicting early spontaneous resolution in children with vesicoureteral reflux.

Bailey J Garnica, Logan Harris, M Bridget Zimmerman, Knute D Carter, Christopher S Cooper

Abstract read
In one paragraph

Article in Journal of pediatric urology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Bailey J GarnicaDepartment of Urology, University of Iowa, Iowa City, IA 52242, USA.
Logan HarrisDepartment of Biostatistics and Informatics, University of Colorado, Aurora, CO 80045, USA.
M Bridget ZimmermanDepartment of Biostatistics, University of Iowa, Iowa City, IA 52242, USA.
Knute D CarterDepartment of Biostatistics, University of Iowa, Iowa City, IA 52242, USA.
Christopher S CooperDepartment of Urology, University of Iowa, Iowa City, IA 52242, USA. Electronic address: christopher-cooper@uiowa.edu.

Funding

Iowa Medical Student Summer Research Program in trans-NIDDK ResearchT35DK135446 · NIDDK · UNIVERSITY OF IOWA · PI ROBERT D ROGHAIR · 2023 to 2026
$418k
NIDDK NIH HHS T35 DK135446
6 · The paper itself

Abstract

purposeMulti-variable computational models have been used in clinical practice to help assist decision making, including predicting clinical outcomes for vesicoureteral reflux (VUR). We reviewed predictive factors of spontaneous resolution, including distal ureteral diameter ratio (UDR). We then updated online computational models predicting spontaneous VUR resolution at 1 and 2 years to assist management of VUR on a more individualized basis.

methodsWe reviewed the records of 828 patients with VUR, including 616 females and 212 males. In addition to UDR, other prognostic clinical variables were evaluated. Specifically, the outcome of spontaneous resolution versus no resolution was analyzed using available data for each predictor set at 1 and 2 years after voiding cystourethrogram (VCUG) using logistic models with various combinations of clinical variables. Not all patients had complete data for all variables, and analyses were performed using the subset of patients with complete data for each model. ROC curves with 10-fold cross-validation were constructed to assess predictive performance.

resultsAll single model predictors including reflux grade, volume at onset of reflux, and UDR demonstrated better ability in predicting VUR resolution compared to covariate models alone. The models were deployed using a web application created with R Shiny, an open-source package for the programming language R that is used to build interactive web applications. The app allows for patient-specific variables to be entered and produces predictions of outcomes at 1 and 2 years post VCUG.

conclusionsThese computational models permit the input of multiple factors for a more individualized approach to predicting spontaneous resolution within 1 and 2 years of VCUG.

Indexed as

BladderComputational modelDistal ureteral diameter ratioVesicoureteral reflux

Identifiers

PMID42624767
PMCPMC13537490

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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.