These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

147 related articles for article (PubMed ID: 39157065)

  • 1. Optimal cut-off values of visceral fat area for predicting metabolic syndrome among patients with ischemic stroke: a cross-sectional study.
    Lu X; Wang J; Sun H; Liu D; Yan X; Liu Z
    Front Neurol; 2024; 15():1398907. PubMed ID: 39157065
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Optimal Cut-Off Values of Visceral Fat Area for Predicting Metabolic Syndrome Among Type 2 Diabetes Patients in Ningbo, China.
    Yang X; Lin Y; Xu GD; Chen YS; Zhou Y; Sun J; Li L
    Diabetes Metab Syndr Obes; 2021; 14():1375-1383. PubMed ID: 33790605
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Cut-Off Values for Visceral Fat Area Identifying Korean Adults at Risk for Metabolic Syndrome.
    Lee A; Kim YJ; Oh SW; Lee CM; Choi HC; Joh HK; Oh B; Hwang SS; Kim SJ; Kwon OD
    Korean J Fam Med; 2018 Jul; 39(4):239-246. PubMed ID: 29972898
    [TBL] [Abstract][Full Text] [Related]  

  • 4. Optimal cut points of waist circumference (WC) and visceral fat area (VFA) predicting for metabolic syndrome (MetS) in elderly population in the Korean Longitudinal Study on Health and Aging (KLoSHA).
    Lim S; Kim JH; Yoon JW; Kang SM; Choi SH; Park YJ; Kim KW; Cho NH; Shin H; Park KS; Jang HC
    Arch Gerontol Geriatr; 2012; 54(2):e29-34. PubMed ID: 21862146
    [TBL] [Abstract][Full Text] [Related]  

  • 5. The cutoff values of visceral fat area and waist circumference for identifying subjects at risk for metabolic syndrome in elderly Korean: Ansan Geriatric (AGE) cohort study.
    Seo JA; Kim BG; Cho H; Kim HS; Park J; Baik SH; Choi DS; Park MH; Jo SA; Koh YH; Han C; Kim NH
    BMC Public Health; 2009 Dec; 9():443. PubMed ID: 19951442
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Is Metabolic Score for Visceral Fat (METS-VF) a Better Index Than Other Adiposity Indices for the Prediction of Visceral Adiposity.
    Torun C; Ankaralı H; Caştur L; Uzunlulu M; Erbakan AN; Akbaş MM; Gündüz N; Doğan MB; Oğuz A
    Diabetes Metab Syndr Obes; 2023; 16():2605-2615. PubMed ID: 37663201
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Cut-off value of body fat in association with metabolic syndrome in Thai peri- and postmenopausal women.
    Bintvihok W; Chaikittisilpa S; Panyakamlerd K; Jaisamrarn U; Taechakraichana N
    Climacteric; 2013 Jun; 16(3):393-7. PubMed ID: 23320744
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Visceral adiposity and inflammatory bowel disease.
    Rowan CR; McManus J; Boland K; O'Toole A
    Int J Colorectal Dis; 2021 Nov; 36(11):2305-2319. PubMed ID: 34104989
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The utility of fat mass index vs. body mass index and percentage of body fat in the screening of metabolic syndrome.
    Liu P; Ma F; Lou H; Liu Y
    BMC Public Health; 2013 Jul; 13():629. PubMed ID: 23819808
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Metabolic Syndrome, as Defined Based on Parameters Including Visceral Fat Area, Predicts Complications After Surgery for Rectal Cancer.
    Zhou CJ; Cheng YF; Xie LZ; Hu WL; Chen B; Xu L; Huang CJ; Cai M; Shen X; Liu CB
    Obes Surg; 2020 Jan; 30(1):319-326. PubMed ID: 31625057
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Comparison of visceral fat area measured by CT and bioelectrical impedance analysis in Chinese patients with gastric cancer: a cross-sectional study.
    Gao B; Liu Y; Ding C; Liu S; Chen X; Bian X
    BMJ Open; 2020 Jul; 10(7):e036335. PubMed ID: 32709647
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Gender differences in diagnostic values of visceral fat area and waist circumference for predicting metabolic syndrome in Koreans.
    Kim HI; Kim JT; Yu SH; Kwak SH; Jang HC; Park KS; Kim SY; Lee HK; Cho YM
    J Korean Med Sci; 2011 Jul; 26(7):906-13. PubMed ID: 21738344
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Optimal Obesity- and Lipid-Related Indices for Predicting Metabolic Syndrome in Chronic Kidney Disease Patients with and without Type 2 Diabetes Mellitus in China.
    Li H; Wang Q; Ke J; Lin W; Luo Y; Yao J; Zhang W; Zhang L; Duan S; Dong Z; Chen X
    Nutrients; 2022 Mar; 14(7):. PubMed ID: 35405947
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Visceral fat area and cardiometabolic risk: The Kardiovize study.
    Polcrova A; Pavlovska I; Maranhao Neto GA; Kunzova S; Infante-Garcia MM; Medina-Inojosa JR; Lopez-Jimenez F; Mechanick JI; Nieto-Martinez R; Stokin GB; Pikhart H; Gonzalez-Rivas JP
    Obes Res Clin Pract; 2021; 15(4):368-374. PubMed ID: 33744224
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Estimation of visceral fat area using criteria for metabolic syndrome: A cross-sectional study.
    Katahira M; Moriura S; Ono S
    Diabetes Metab Syndr; 2022 Aug; 16(8):102584. PubMed ID: 35933939
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Evaluation of metabolic syndrome risk in Korean premenopausal women: not waist circumference but visceral fat.
    Hyun YJ; Kim OY; Jang Y; Ha JW; Chae JS; Kim JY; Yeo HY; Paik JK; Lee JH
    Circ J; 2008 Aug; 72(8):1308-15. PubMed ID: 18654019
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Sex Differences of Visceral Fat Area and Visceral-to-Subcutaneous Fat Ratio for the Risk of Incident Type 2 Diabetes Mellitus.
    Kim EH; Kim HK; Lee MJ; Bae SJ; Choe J; Jung CH; Kim CH; Park JY; Lee WJ
    Diabetes Metab J; 2022 May; 46(3):486-498. PubMed ID: 34911174
    [TBL] [Abstract][Full Text] [Related]  

  • 18. Predicting metabolic syndrome by obesity- and lipid-related indices in mid-aged and elderly Chinese: a population-based cross-sectional study.
    Li Y; Gui J; Liu H; Guo LL; Li J; Lei Y; Li X; Sun L; Yang L; Yuan T; Wang C; Zhang D; Wei H; Li J; Liu M; Hua Y; Zhang L
    Front Endocrinol (Lausanne); 2023; 14():1201132. PubMed ID: 37576971
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Gender differences of visceral fat area for predicting incident type 2 diabetes in Koreans.
    Kim EH; Kim HK; Bae SJ; Lee MJ; Hwang JY; Choe J; Jung CH; Lee WJ; Park JY
    Diabetes Res Clin Pract; 2018 Dec; 146():93-100. PubMed ID: 30321564
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Establishing computed tomography-defined visceral fat area thresholds for use in obesity-related cancer research.
    Doyle SL; Bennett AM; Donohoe CL; Mongan AM; Howard JM; Lithander FE; Pidgeon GP; Reynolds JV; Lysaght J
    Nutr Res; 2013 Mar; 33(3):171-9. PubMed ID: 23507222
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 8.