Combination of urinary biomarkers and machine-learning models provided a higher predictive accuracy to predict long-term treatment outcomes of patients with interstitial cystitis/bladder pain syndrome-Reference-Cited by-同舟云学术

Combination of urinary biomarkers and machine-learning models provided a higher predictive accuracy to predict long-term treatment outcomes of patients with interstitial cystitis/bladder pain syndrome

Published:2024-03-20 Issue:1 Volume:42 Page:
ISSN:1433-8726
Container-title:World Journal of Urology
language:en
Short-container-title:World J Urol

Author:

Jhang Jia-Fong,Yu Wan-Ru,Huang Wan-Ting,Kuo Hann-Chorng^ORCID

Funder

Hualien Tzu Chi Hospital, Buddhist Tzu Chi Medical Foundation

Publisher

Springer Science and Business Media LLC

Link

https://link.springer.com/content/pdf/10.1007/s00345-024-04843-3.pdf

Reference15 articles.

1. Hanno PM, Erickson D, Moldwin R, Faraday MM, American Urological A (2015) Diagnosis and treatment of interstitial cystitis/bladder pain syndrome: AUA guideline amendment. J Urol 193:1545–1553. https://doi.org/10.1016/j.juro.2015.01.086

2. Di XP, Luo DY, Jin X, Zhao WY, Li H, Wang KJ (2021) Efficacy and safety comparison of pharmacotherapies for interstitial cystitis and bladder pain syndrome: a systematic review and Bayesian network meta-analysis. Int Urogynecol J 32:1129–1141. https://doi.org/10.1007/s00192-020-04659-w

3. Jhang JF, Hsu YH, Jiang YH, Ho HC, Kuo HC (2021) Clinical relevance of bladder histopathological findings and their impact on treatment outcomes among patients with interstitial cystitis/bladder pain syndrome: an investigation of the European Society for the study of interstitial cystitis histopathological classification. J Urol 205:226–235. https://doi.org/10.1097/JU.0000000000001334

4. Yu WR, Jhang JF, Ho HC, Jiang YH, Lee CL, Hsu YH, Kuo HC (2021) Cystoscopic hydrodistention characteristics provide clinical and long-term prognostic features of interstitial cystitis after treatment. Sci Rep 11:455. https://doi.org/10.1038/s41598-020-80252-x

5. Siddiqui NY, Helfand BT, Andreev VP et al (2019) Biomarkers implicated in lower urinary tract symptoms: systematic review and pathway analyses. J Urol 202:880–889. https://doi.org/10.1097/JU.0000000000000257

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1. Letter to the editor for the article “Combination of urinary biomarkers and machine-learning models provided a higher predictive accuracy to predict long-term treatment outcomes of patients with interstitial cystitis/bladder pain syndrome”;World Journal of Urology;2024-05-24