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Predictive association between the γ-glutamyltransferase-high-density lipoprotein cholesterol ratio and all-cause mortality in the Korean genome and epidemiology study: health examinees cohort.

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Title: Predictive association between the γ-glutamyltransferase-high-density lipoprotein cholesterol ratio and all-cause mortality in the Korean genome and epidemiology study: health examinees cohort.
Authors: Han HY; Department of Family Medicine, Yongin Severance Hospital, Yongin-si, Gyeonggi-do, 16995, Republic of Korea.; Department of Family Medicine, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 03722, Republic of Korea., Jung DH; Department of Family Medicine, Yongin Severance Hospital, Yongin-si, Gyeonggi-do, 16995, Republic of Korea.; Department of Family Medicine, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 03722, Republic of Korea., Heo SJ; Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea., Lee YJ; Department of Family Medicine, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 03722, Republic of Korea. ukyjhome@yuhs.ac.; Department of Family Medicine, Severance Hospital, Seoul, 06273, Republic of Korea. ukyjhome@yuhs.ac.
Source: Acta diabetologica [Acta Diabetol] 2025 Jun; Vol. 62 (6), pp. 967-976. Date of Electronic Publication: 2025 Apr 01.
Publication Type: Journal Article
Journal Info: Publisher: Springer Verlag Country of Publication: Germany NLM ID: 9200299 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1432-5233 (Electronic) Linking ISSN: 09405429 NLM ISO Abbreviation: Acta Diabetol Subsets: MEDLINE
Database: MEDLINE Ultimate
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  Data: Predictive association between the γ-glutamyltransferase-high-density lipoprotein cholesterol ratio and all-cause mortality in the Korean genome and epidemiology study: health examinees cohort.
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  Data: <searchLink fieldCode="AU" term="%22Han+HY%22">Han HY</searchLink>; Department of Family Medicine, Yongin Severance Hospital, Yongin-si, Gyeonggi-do, 16995, Republic of Korea.; Department of Family Medicine, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Jung+DH%22">Jung DH</searchLink>; Department of Family Medicine, Yongin Severance Hospital, Yongin-si, Gyeonggi-do, 16995, Republic of Korea.; Department of Family Medicine, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Heo+SJ%22">Heo SJ</searchLink>; Division of Biostatistics, Department of Biomedical Systems Informatics, Yonsei University College of Medicine, Seoul, 03722, Republic of Korea.<br /><searchLink fieldCode="AU" term="%22Lee+YJ%22">Lee YJ</searchLink>; Department of Family Medicine, Yonsei University College of Medicine, 211 Eonju-ro, Gangnam-gu, Seoul, 03722, Republic of Korea. ukyjhome@yuhs.ac.; Department of Family Medicine, Severance Hospital, Seoul, 06273, Republic of Korea. ukyjhome@yuhs.ac.
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  Data: <searchLink fieldCode="JN" term="%229200299%22">Acta diabetologica</searchLink> [Acta Diabetol] 2025 Jun; Vol. 62 (6), pp. 967-976. <i>Date of Electronic Publication: </i>2025 Apr 01.
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  Data: <i>Publisher: </i><searchLink fieldCode="PB" term="%22Springer+Verlag%22">Springer Verlag </searchLink><i>Country of Publication: </i>Germany <i>NLM ID: </i>9200299 <i>Publication Model: </i>Print-Electronic <i>Cited Medium: </i>Internet <i>ISSN: </i>1432-5233 (Electronic) <i>Linking ISSN: </i><searchLink fieldCode="IS" term="%2209405429%22">09405429 </searchLink><i>NLM ISO Abbreviation: </i>Acta Diabetol <i>Subsets: </i>MEDLINE
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      – Type: doi
        Value: 10.1007/s00592-025-02495-2
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      – Code: eng
        Text: English
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      – TitleFull: Predictive association between the γ-glutamyltransferase-high-density lipoprotein cholesterol ratio and all-cause mortality in the Korean genome and epidemiology study: health examinees cohort.
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            NameFull: Jung DH
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            – D: 01
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              Text: 2025 Jun
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              Y: 2025
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