ArticleWorld journal of urology2021
Development of a nomogram predicting the probability of stone free rate in patients with ureteral stones eligible for semi-rigid primary laser uretero-litothripsy.
Article in World journal of urology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.
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Who cites it
11 citing papers in PubMed.
- CircRSPRY1 regulates calcium oxalate crystal-induced necrotic apoptosis in renal tubules via miR-21-5p/PTEN.Cell & bioscience · 2026Article
- Preoperative CT imaging and machine learning models for predicting ureteral access sheath placement success in non-stented patients with ureteral calculi: a retrospective cohort study.World journal of urology · 2026Article
- Predictive value of the S.T.O.N.E. score for stone-free rate in impacted ureteral stones.Urolithiasis · 2025Article
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- Ae index is an independent predictor of kidney stone recurrence in overweight and obese patients.BMC urology · 2023Article
- A nomogram for predicting the risk of residual stone fragments after ureteroscopy.Translational andrology and urology · 2023Article
- Ureteral wall thickness and distal ureteral density in patients with residual fragments after Ho:YAG laser semi-rigid ureterolithotripsy.Lasers in medical science · 2022Article
- What are the predictors of residual stone after ureteroscopy for urolithiasis?Translational andrology and urology · 2022Article
- A simple predictive model with internal validation for assessment of stone-left after ureteroscopic lithotripsy in upper ureteral stones.Translational andrology and urology · 2022Article
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13 authors.
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Abstract
purposeFew tools are available to predict uretero-lithotripsy outcomes in patients with ureteral stones. Aim of our study was to develop a nomogram predicting the probability of stone free rate in patients undergoing semi-rigid uretero-lithotripsy (ULT) for ureteral stones.
methodsFrom January 2014 onwards, patients undergoing semi-rigid Ho: YAG laser uretero-lithotripsy for ureteral stones were prospectively enrolled in two centers. Patients were preoperatively evaluated with accurate clinical history, urinalysis and renal function. Non-contrast CT was used to define number, location and length of the stones and eventually the presence of hydronephrosis. A nomogram was generated based on the logistic regression model used to predict ULT success.
resultsOverall, 356 patients with mean age of 54 years (IQR 44/65) were enrolled. 285/356 (80%) patients were stone free at 1 month. On multivariate analysis single stone (OR 1.93, 95% CI 1.05-3.53, p = 0.034), stone size (OR 0.92, 95% CI 0.87-0.97, p = 0.005), distal position (OR 2.12, 95% CI 1.29-3.48, p = 0.003) and the absence of hydronephrosis (OR 2.02, 95% CI 1.08-3.78, p = 0.029) were predictors of success and these were used to develop a nomogram. The nomogram based on the model presented good discrimination (area under the curve [AUC]: 0.75), good calibration (Hosmer-Lemeshow test, p > 0.5) and a net benefit in the range of probabilities between 15 and 65%. Internal validation resulted in an AUC of 0.74.
conclusionsThe implementation of our nomogram could better council patients before treatment and could be used to identify patients at risk of failure. External validation is warranted before its clinical implementation.
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