Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones.
Saved in:
| Title: | Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones. |
|---|---|
| Authors: | Wei S; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China., Lv B; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China., Liu B; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China., Huang Q; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China., Hu C; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China. hucheng2@mail.sysu.edu.cn., Wang H; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China. wangh585@mail.sysu.edu.cn. |
| Source: | World journal of urology [World J Urol] 2026 Jun 25; Vol. 44 (1). Date of Electronic Publication: 2026 Jun 25. |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Springer International Country of Publication: Germany NLM ID: 8307716 Publication Model: Electronic Cited Medium: Internet ISSN: 1433-8726 (Electronic) Linking ISSN: 07244983 NLM ISO Abbreviation: World J Urol Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
| FullText | Text: Availability: 0 |
|---|---|
| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 42347952 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Wei+S%22">Wei S</searchLink>; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China.<br /><searchLink fieldCode="AU" term="%22Lv+B%22">Lv B</searchLink>; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China.<br /><searchLink fieldCode="AU" term="%22Liu+B%22">Liu B</searchLink>; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China.<br /><searchLink fieldCode="AU" term="%22Huang+Q%22">Huang Q</searchLink>; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China.<br /><searchLink fieldCode="AU" term="%22Hu+C%22">Hu C</searchLink>; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China. hucheng2@mail.sysu.edu.cn.<br /><searchLink fieldCode="AU" term="%22Wang+H%22">Wang H</searchLink>; Department of Urology, The Third Affiliated Hospital, Sun Yat-sen University, No. 600 Tianhe Road, Tianhe District, Guangzhou, 510630, Guangdong, P. R. China. wangh585@mail.sysu.edu.cn. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%228307716%22">World journal of urology</searchLink> [World J Urol] 2026 Jun 25; Vol. 44 (1). <i>Date of Electronic Publication: </i>2026 Jun 25. – Name: TypePub Label: Publication Type Group: TypPub Data: Journal Article – Name: TitleSource Label: Journal Info Group: Src Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+International%22">Springer International </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>8307716 <i>Publication Model: </i>Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1433-8726 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2207244983%22">07244983 </searchLink><i>NLM ISO Abbreviation: </i>World J Urol <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=42347952 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00345-026-06538-3 Languages: – Code: eng Text: English Titles: – TitleFull: Predicting SIRS after PCNL using machine learning: the joint impact of sarcopenia and staghorn stones. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wei S – PersonEntity: Name: NameFull: Lv B – PersonEntity: Name: NameFull: Liu B – PersonEntity: Name: NameFull: Huang Q – PersonEntity: Name: NameFull: Hu C – PersonEntity: Name: NameFull: Wang H IsPartOfRelationships: – BibEntity: Dates: – D: 25 M: 06 Text: 2026 Jun 25 Type: published Y: 2026 Identifiers: – Type: issn-electronic Value: 1433-8726 Numbering: – Type: volume Value: 44 – Type: issue Value: 1 Titles: – TitleFull: World journal of urology Type: main |
| ResultId | 1 |