ArticleScientific reports2025
Machine learning-based prediction of vesicoureteral reflux outcomes in infants under antibiotic prophylaxis.
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 4 papers, 1 of them a synthesis that pooled 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.
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.
Who cites it
4 citing papers in PubMed, 1 synthesis or guideline pooled it.
- A novel clinical score to predict breakthrough urinary tract infection in children with VUR: meta-analytic derivation and real-world validation.Pediatric nephrology (Berlin, Germany) · 2026Pooled it
- The utility of renal sonographic measurements as predictors of early vesicoureteral reflux outcomes.Journal of pediatric urology · 2026Article
- Multiparametric Ultrasound and Machine Learning for Predicting Renal Scarring in Children.Diagnostics (Basel, Switzerland) · 2026Article
- An Atlas of Nomograms, Scoring Systems, and Predictive Tools to Guide Investigation or Management in Patients with Suspected or Confirmed Vesicoureteral Reflux: A Comprehensive Review of the Literature.Journal of clinical medicine · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
We aimed to investigate the independent outcome predictors of continuous antibiotic prophylaxis (CAP) in vesicoureteral reflux, train a model to predict the outcome, and evaluate which infants should be referred for endoscopic vesicoureteral reflux correction in their first visits. A total of 225 infants ≤ 2 years of age with a diagnosis of vesicoureteral reflux between 2009 and 2022 were recruited; 115 patients from a pediatric nephrology clinic received CAP, and 110 patients from a pediatric urology department underwent endoscopic injection of dextranomer/hyaluronic acid copolymer. In the multivariable analysis, only renal scarring and bladder dysfunction were significantly associated with post-treatment febrile urinary tract infections and/or renal scarring and vesicoureteral reflux persistence, respectively, in children who received CAP. The machine learning modeling showed that for both febrile urinary tract infections and/or renal scarring and vesicoureteral reflux persistence, the random forest was the best fit. On the other hand, we observed that the success rates of endoscopic injection among the patients with renal scarring and bladder dysfunction were acceptable. In conclusion, renal scarring and bladder dysfunction were predictors of vesicoureteral reflux outcomes when the infant was receiving CAP. Therefore, referring these patients to a urologist is advised during their first visits as they benefit from endoscopic injection.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.