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
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...
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description | 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. |
doi_str_mv | 10.1007/s00240-023-01499-3 |
format | Article |
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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.</description><identifier>ISSN: 2194-7236</identifier><identifier>ISSN: 2194-7228</identifier><identifier>EISSN: 2194-7236</identifier><identifier>DOI: 10.1007/s00240-023-01499-3</identifier><identifier>PMID: 38180575</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer Berlin Heidelberg</publisher><subject>Body mass index ; Hospitalization ; Hospitals ; Humans ; Kidney Calculi - diagnosis ; Kidney Calculi - surgery ; Medical Biochemistry ; Medicine ; Medicine & Public Health ; Nephrology ; Patients ; Performance evaluation ; Regression analysis ; Retrospective Studies ; Seoul - epidemiology ; Statistical analysis ; Universities ; Urinary tract diseases ; Urological surgery ; Urology ; Variables</subject><ispartof>Urolithiasis, 2024-01, Vol.52 (1), p.19, Article 19</ispartof><rights>The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature 2024 Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law.</rights><rights>2024. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.</rights><rights>Copyright Springer Nature B.V. Dec 2024</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c375t-b534cfe837043971a3ca34846bcaead7aebf0849fad13a64e201f3ee3175cf1b3</citedby><cites>FETCH-LOGICAL-c375t-b534cfe837043971a3ca34846bcaead7aebf0849fad13a64e201f3ee3175cf1b3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00240-023-01499-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00240-023-01499-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,778,782,27907,27908,41471,42540,51302</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/38180575$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Chen, Yi-Hsuan</creatorcontrib><creatorcontrib>Li, Wei‑Ming</creatorcontrib><creatorcontrib>Juan, Yung-Shun</creatorcontrib><creatorcontrib>Huang, Tsung-Yi</creatorcontrib><creatorcontrib>Wang, Yen-Chun</creatorcontrib><creatorcontrib>Lee, Hsiang-Ying</creatorcontrib><title>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</title><title>Urolithiasis</title><addtitle>Urolithiasis</addtitle><addtitle>Urolithiasis</addtitle><description>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.</description><subject>Body mass index</subject><subject>Hospitalization</subject><subject>Hospitals</subject><subject>Humans</subject><subject>Kidney Calculi - diagnosis</subject><subject>Kidney Calculi - surgery</subject><subject>Medical Biochemistry</subject><subject>Medicine</subject><subject>Medicine & Public Health</subject><subject>Nephrology</subject><subject>Patients</subject><subject>Performance evaluation</subject><subject>Regression analysis</subject><subject>Retrospective Studies</subject><subject>Seoul - epidemiology</subject><subject>Statistical analysis</subject><subject>Universities</subject><subject>Urinary tract diseases</subject><subject>Urological surgery</subject><subject>Urology</subject><subject>Variables</subject><issn>2194-7236</issn><issn>2194-7228</issn><issn>2194-7236</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1u1TAQhSMEolXpC7BAltgUqQl27FwnyyoqBenqFjXtOnKcCXWV2MF2KrLjNfogfSGeBOem_IgF3tgaf3POjE4UvSY4IRjz9w7jlOEYpzTGhBVFTJ9FhykpWMxTunn-1_sgOnbuDodTFAUj-GV0QHOS44xnh9HjGZJmGIVVzmhkOlQl18llskvOkYbx1ppe-VszgLczctJYpb8gNzsPwym6mOYf3x8cct5o2P_CKRK6RRWYqUc74ZXRokc3Wt2DdcrP6AqWQrVvKINvD9-W8kkVX0FVvkNKo9FCq6RfjAalVfy53G1Xi7izAMgKD6-iF53oHRw_3UfRzYfz6_JjvL28-FSebWNJeebjJqNMdpBTjhktOBFUCspytmmkANFyAU2Hc1Z0oiVUbBikmHQUgBKeyY409Cg6WXVHa75O4Hw9KCeh74UOK7o6LQjJWVbwTUDf_oPemcmGbfcUDhNgngUqXSlpjXMWunq0ahB2rgmul1zrNdc65Frvc61paHrzJD01A7S_W36lGAC6Am5cAgL7x_s_sj8BZWWviA</recordid><startdate>20240105</startdate><enddate>20240105</enddate><creator>Chen, Yi-Hsuan</creator><creator>Li, Wei‑Ming</creator><creator>Juan, Yung-Shun</creator><creator>Huang, Tsung-Yi</creator><creator>Wang, Yen-Chun</creator><creator>Lee, Hsiang-Ying</creator><general>Springer Berlin Heidelberg</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>K9.</scope><scope>7X8</scope></search><sort><creationdate>20240105</creationdate><title>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</title><author>Chen, Yi-Hsuan ; Li, Wei‑Ming ; Juan, Yung-Shun ; Huang, Tsung-Yi ; Wang, Yen-Chun ; Lee, Hsiang-Ying</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c375t-b534cfe837043971a3ca34846bcaead7aebf0849fad13a64e201f3ee3175cf1b3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Body mass index</topic><topic>Hospitalization</topic><topic>Hospitals</topic><topic>Humans</topic><topic>Kidney Calculi - diagnosis</topic><topic>Kidney Calculi - surgery</topic><topic>Medical Biochemistry</topic><topic>Medicine</topic><topic>Medicine & Public Health</topic><topic>Nephrology</topic><topic>Patients</topic><topic>Performance evaluation</topic><topic>Regression analysis</topic><topic>Retrospective Studies</topic><topic>Seoul - epidemiology</topic><topic>Statistical analysis</topic><topic>Universities</topic><topic>Urinary tract diseases</topic><topic>Urological surgery</topic><topic>Urology</topic><topic>Variables</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Chen, Yi-Hsuan</creatorcontrib><creatorcontrib>Li, Wei‑Ming</creatorcontrib><creatorcontrib>Juan, Yung-Shun</creatorcontrib><creatorcontrib>Huang, Tsung-Yi</creatorcontrib><creatorcontrib>Wang, Yen-Chun</creatorcontrib><creatorcontrib>Lee, Hsiang-Ying</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Health & Medical Complete (Alumni)</collection><collection>MEDLINE - Academic</collection><jtitle>Urolithiasis</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Chen, Yi-Hsuan</au><au>Li, Wei‑Ming</au><au>Juan, Yung-Shun</au><au>Huang, Tsung-Yi</au><au>Wang, Yen-Chun</au><au>Lee, Hsiang-Ying</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>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</atitle><jtitle>Urolithiasis</jtitle><stitle>Urolithiasis</stitle><addtitle>Urolithiasis</addtitle><date>2024-01-05</date><risdate>2024</risdate><volume>52</volume><issue>1</issue><spage>19</spage><pages>19-</pages><artnum>19</artnum><issn>2194-7236</issn><issn>2194-7228</issn><eissn>2194-7236</eissn><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.</abstract><cop>Berlin/Heidelberg</cop><pub>Springer Berlin Heidelberg</pub><pmid>38180575</pmid><doi>10.1007/s00240-023-01499-3</doi></addata></record> |
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subjects | Body mass index Hospitalization Hospitals Humans Kidney Calculi - diagnosis Kidney Calculi - surgery Medical Biochemistry Medicine Medicine & Public Health Nephrology Patients Performance evaluation Regression analysis Retrospective Studies Seoul - epidemiology Statistical analysis Universities Urinary tract diseases Urological surgery Urology Variables |
title | 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 |
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