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ArticleUrolithiasis2024

A comparison of S.T.O.N.E nephrolithometry scoring system, Guy's stone score, and Seoul National University Renal Stone Complexity (S-ReSC) in predicting mini-PCNL stone-free rate.

Yi-Hsuan Chen, Wei-Ming Li, Yung-Shun Juan, Tsung-Yi Huang, Yen-Chun Wang, Hsiang-Ying Lee

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Article in Urolithiasis, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

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9citing papers in PubMed
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1 · What the graph read from it

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3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Yi-Hsuan ChenDepartment of Urology, Kaohsiung Municipal Ta-Tung Hospital, Kaohsiung, Taiwan.
Wei-Ming LiDepartment of Urology, Kaohsiung Medical University Hospital, No. 100, Shih-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan.
Yung-Shun JuanDepartment of Urology, Kaohsiung Medical University Hospital, No. 100, Shih-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan.
Tsung-Yi HuangDepartment of Urology, Kaohsiung Medical University Hospital, No. 100, Shih-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan.
Yen-Chun WangDepartment of Urology, Kaohsiung Medical University Hospital, No. 100, Shih-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan.
Hsiang-Ying LeeDepartment of Urology, Kaohsiung Medical University Hospital, No. 100, Shih-Chuan 1St Road, Sanmin Dist., Kaohsiung, 80708, Taiwan. ashum1009@hotmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The main goal of the study is to evaluate the three stone scoring systems (S.T.O.N.E nephrolithometry scoring system (STONE), Guy's stone score (GSS) and Seoul National University Renal Stone Complexity (S-ReSC)) for the stone-free rate (SFR) of mini-PCNL. We retrospectively analyzed 72 patients who received mini-PCNL from February 2018 to October 2020. The SFR, complication rates, hospitalization days and recurrence rates were analyzed using three stone scoring systems. The result showed statistical significance in the association between scoring system and stone-free (STONE: OR 95%CI 0.409 (0.221-0.759), p = 0.0045; S-ReSC OR 95%CI 0.633 (0.401-0.999), p = 0.0497), but not GSS (OR 95%CI 0.776 (0.397-1.516), p = 0.4581). After adjusting the potential confounding factors, the area under curve (AUC) of STONE, GSS, and S-ReSC was 0.86, 0.78, and 0.81, respectively, and Akaike information criterion (AIC) of STONE, GSS, and S-ReSC was 64.65, 74.89, and 69.92, respectively. The accuracy rate of STONE, GSS, and S-ReSC was 0.81, 0.75, and 0.79, respectively. There was no statistically difference of predicting stone recurrence (p = 0.46, 0.53, 0.86), complications (p = 0.74, 0.51, 0.16) and hospitalization days (p = 0.77, 0.86, 0.87) in STONE, GSS, and S-ReSC, respectively. In conclusion, both the STONE and S-ReSC stone scoring systems are viable for predicting the SFR following mini-PCNL, especially after variable adjustment with the STONE system demonstrating superiority over S-ReSC.

Indexed as

Kidney CalculiHospitalizationHumansRetrospective StudiesSeoulUniversitiesMini-PCNLRenal stoneStone free rateStone scoring systemUrolithiasis

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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.