Why are pediatric urologists unable to predict renal deterioration using urodynamics? A focused narrative review of the shortcomings of the literature-Reference-Cited by-同舟云学术

Why are pediatric urologists unable to predict renal deterioration using urodynamics? A focused narrative review of the shortcomings of the literature

Published:2022-08 Issue:4 Volume:18 Page:493-498
ISSN:1477-5131
Container-title:Journal of Pediatric Urology
language:en
Short-container-title:Journal of Pediatric Urology

Author:

Weaver J.K.,Weiss D.A.,Aghababian A.,Smith A.L.,Van Batavia J.,Long C.J.,Tasian G.E.,Zderic S.A.

Funder

Centers for Disease Control and Prevention

Pennsylvania Department of Health

Publisher

Elsevier BV

Subject

Urology,Pediatrics, Perinatology and Child Health

Reference32 articles.

1. The standardization of terminology of lower urinary tract function in children and adolescents: update report from the standardization committee of the international children’s continence society;Austin;Neurourol Urodyn,2016

2. Prognostic value of urodynamic testing in myelodysplastic patients;McGuire;J Urol,1981

3. Storage detrusor pressure in bilateral hydroureteronephrosis;Ghobish;Eur Urol,2001

4. The Pathogenesis of reflux nephropathy;Hodson;Br J Radiol,1975

5. The time factor in the development of sterile renal scarring following high pressure vesicoureteral reflux;Hodson;Contrib Nephrol,1984

Cited by 7 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Urodynamics in the Pediatric and Transitional Patient Population: Over Fifty Years of Insights;Current Bladder Dysfunction Reports;2024-04-23

2. Long-term complications and outcomes of augmentation cystoplasty in children with neurogenic bladder;Scientific Reports;2024-02-20

3. Stratification of neurogenic bladder risk in spina bifida using the urinary peptidome;American Journal of Physiology-Renal Physiology;2024-02-01

4. Machine Learning and Artificial Intelligence to Improve Interpretation of Urodynamics;Current Bladder Dysfunction Reports;2024-01-13

5. Can we use machine learning to improve the interpretation and application of urodynamic data?: ICI‐RS 2023;Neurourology and Urodynamics;2023-11-03