ArticleArab journal of urology2024
Predicting stone free rate after retrograde intrarenal surgery using RIRS scoring system versus Resorlu Unsal stone score (RUSS).
Article in Arab journal of urology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Can AI and predictive models accurately predict stone-free status? a systematic review and meta-analysis.The Canadian journal of urology · 2026Pooled it
- Predictive value of the S.T.O.N.E. score for stone-free rate in impacted ureteral stones.Urolithiasis · 2025Article
- Assessment of Factors Responsible for Stone-Free Status After Retrograde Intrarenal Surgery.Cureus · 2024Article
- Pelvic stone angle as a novel parameter for predicting stone-free rates after RIRS: A retrospective comparative analysis with established scoring systems-AUSET collaboration.Therapeutic advances in urologyArticle
- Article
- Upper urinary tract stone characteristics and outcome of retrograde intra renal surgery with laser lithotripsy in a Nigerian tertiary hospital: a retrospective study.Nigerian medical journal : journal of the Nigeria Medical AssociationArticle
Corrections and comments
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Authors and funding
5 authors.
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Abstract
Background: To evaluate the predictive ability of the RIRS scoring system and the RUSS in predicting stone-free rate (SFR) after retrograde intrarenal surgery (RIRS). Methods: This prospective study was conducted on patients who underwent RIRS for kidney stones. Two scoring systems were used to determine the degree of procedure difficulty: the RIRS scoring system and the RUSS. We assessed the predictive ability of the two scoring systems utilizing receiver operating characteristic (ROC) analysis and calculated the sensitivity and specificity of each system. Additionally, we analyzed the association between the scoring systems and the stone-free outcome using a multivariate logistic regression model. Results: One hundred seventy-one patients were incorporated into this study with a mean age of 43 years, and 65.5% were male. The results showed a significant AUC of 0.868 for the RIRS score ( Conclusion: The RIRS scoring system showed a better predictive ability for SFR after RIRS than the RUSS. Additionally, RIRS was a significant predictor of SFR, controlling for age, gender, body mass index, and previous renal surgery.
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