Investigating the prediction potential of cholesterol, high-density lipoprotein, and glucose index surpasses TyG, AIP, and METS-IR for type 2 diabetes: a longitudinal cohort study.
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| Title: | Investigating the prediction potential of cholesterol, high-density lipoprotein, and glucose index surpasses TyG, AIP, and METS-IR for type 2 diabetes: a longitudinal cohort study. |
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| Authors: | Chen SY; School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China.; Tongli Community Health Center, Suzhou, Jiangsu, China., Li XX; Department of Clinical Laboratory, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China., Lu F; Department of Pathogenic Biology and Immunology, School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China., Shen H; School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China.; Department of Laboratory Medicine, Wujiang Branch of Suzhou Central Blood Station, Suzhou, Jiangsu, China.; Department of Science and Technology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China. |
| Source: | Frontiers in endocrinology [Front Endocrinol (Lausanne)] 2026 Feb 05; Vol. 17, pp. 1665074. Date of Electronic Publication: 2026 Feb 05 (Print Publication: 2026). |
| Publication Type: | Journal Article |
| Journal Info: | Publisher: Frontiers Research Foundation] Country of Publication: Switzerland NLM ID: 101555782 Publication Model: eCollection Cited Medium: Print ISSN: 1664-2392 (Print) Linking ISSN: 16642392 NLM ISO Abbreviation: Front Endocrinol (Lausanne) Subsets: MEDLINE |
| Database: | MEDLINE Ultimate |
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| FullText | Links: – Type: pdflink Text: Availability: 1 |
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| Header | DbId: mdl DbLabel: MEDLINE Ultimate An: 41727683 AccessLevel: 2 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: Investigating the prediction potential of cholesterol, high-density lipoprotein, and glucose index surpasses TyG, AIP, and METS-IR for type 2 diabetes: a longitudinal cohort study. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AU" term="%22Chen+SY%22">Chen SY</searchLink>; School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China.; Tongli Community Health Center, Suzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Li+XX%22">Li XX</searchLink>; Department of Clinical Laboratory, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Lu+F%22">Lu F</searchLink>; Department of Pathogenic Biology and Immunology, School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China.<br /><searchLink fieldCode="AU" term="%22Shen+H%22">Shen H</searchLink>; School of Medicine, Yangzhou University, Yangzhou, Jiangsu, China.; Department of Laboratory Medicine, Wujiang Branch of Suzhou Central Blood Station, Suzhou, Jiangsu, China.; Department of Science and Technology, Suzhou Ninth Hospital Affiliated to Soochow University, Suzhou, Jiangsu, China. – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22101555782%22">Frontiers in endocrinology</searchLink> [Front Endocrinol (Lausanne)] 2026 Feb 05; Vol. 17, pp. 1665074. <i>Date of Electronic Publication: </i>2026 Feb 05 (<i>Print Publication: </i>2026). – 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="%22Frontiers+Research+Foundation]%22">Frontiers Research Foundation] </searchLink><i>Country of Publication: </i>Switzerland <i>NLM ID: </i>101555782 <i>Publication Model: </i>eCollection <i>Cited Medium: </i>Print <i>ISSN: </i>1664-2392 (Print) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2216642392%22">16642392 </searchLink><i>NLM ISO Abbreviation: </i>Front Endocrinol (Lausanne) <i>Subsets: </i>MEDLINE |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=mdl&AN=41727683 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.3389/fendo.2026.1665074 Languages: – Code: eng Text: English PhysicalDescription: Pagination: StartPage: 1665074 Titles: – TitleFull: Investigating the prediction potential of cholesterol, high-density lipoprotein, and glucose index surpasses TyG, AIP, and METS-IR for type 2 diabetes: a longitudinal cohort study. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Chen SY – PersonEntity: Name: NameFull: Li XX – PersonEntity: Name: NameFull: Lu F – PersonEntity: Name: NameFull: Shen H IsPartOfRelationships: – BibEntity: Dates: – D: 05 M: 02 Text: 2026 Feb 05 Type: published Y: 2026 Identifiers: – Type: issn-print Value: 1664-2392 Numbering: – Type: volume Value: 17 Titles: – TitleFull: Frontiers in endocrinology Type: main |
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