BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

160 related articles for article (PubMed ID: 32340981)

  • 21. Is lipid accumulation product a better cardiovascular risk predictor in elderly individuals than anthropometric measures?
    Nunes SH; Nogueira Saad MA; da Cruz Filho RA; Jorge AJL; Santos MMSD; Martins WA; Campos TL; Rosa MLG
    Rev Port Cardiol (Engl Ed); 2021 Aug; 40(8):539-544. PubMed ID: 34392894
    [TBL] [Abstract][Full Text] [Related]  

  • 22. Comparing the Ability of Anthropometric Indicators in Identifying Metabolic Syndrome in HIV Patients.
    Beraldo RA; Meliscki GC; Silva BR; Navarro AM; Bollela VR; Schmidt A; Foss-Freitas MC
    PLoS One; 2016; 11(2):e0149905. PubMed ID: 26919174
    [TBL] [Abstract][Full Text] [Related]  

  • 23. Are visceral adiposity index and lipid accumulation product reliable indices for metabolic disturbances in patients with type 2 diabetes mellitus?
    Kavaric N; Klisic A; Ninic A
    J Clin Lab Anal; 2018 Mar; 32(3):. PubMed ID: 28632304
    [TBL] [Abstract][Full Text] [Related]  

  • 24. Comparisons of conventional and novel anthropometric obesity indices to predict metabolic syndrome among vegetarians in Malaysia.
    Ching YK; Chin YS; Appukutty M; Gan WY; Chan YM
    Sci Rep; 2020 Nov; 10(1):20861. PubMed ID: 33257810
    [TBL] [Abstract][Full Text] [Related]  

  • 25. Anthropometric parameter that best predict metabolic syndrome in South west Nigeria.
    Adejumo EN; Adejumo AO; Azenabor A; Ekun AO; Enitan SS; Adebola OK; Ogundahunsi OA
    Diabetes Metab Syndr; 2019; 13(1):48-54. PubMed ID: 30641748
    [TBL] [Abstract][Full Text] [Related]  

  • 26. Lipid accumulation product and visceral adiposity index are effective markers for identifying the metabolically obese normal-weight phenotype.
    Du T; Yu X; Zhang J; Sun X
    Acta Diabetol; 2015 Oct; 52(5):855-63. PubMed ID: 25690647
    [TBL] [Abstract][Full Text] [Related]  

  • 27. Obesity index that better predict metabolic syndrome: body mass index, waist circumference, waist hip ratio, or waist height ratio.
    Bener A; Yousafzai MT; Darwish S; Al-Hamaq AO; Nasralla EA; Abdul-Ghani M
    J Obes; 2013; 2013():269038. PubMed ID: 24000310
    [TBL] [Abstract][Full Text] [Related]  

  • 28. Performance of Two Novel Obesity Indicators for the Management of Metabolic Syndrome in Young Adults.
    Liu X; Ma C; Yin F; Wang R; Lu Q; Lu N; Ma C
    Front Endocrinol (Lausanne); 2021; 12():719416. PubMed ID: 34385979
    [TBL] [Abstract][Full Text] [Related]  

  • 29. Percentage of Body Fat and Fat Mass Index as a Screening Tool for Metabolic Syndrome Prediction in Colombian University Students.
    Ramírez-Vélez R; Correa-Bautista JE; Sanders-Tordecilla A; Ojeda-Pardo ML; Cobo-Mejía EA; Castellanos-Vega RDP; García-Hermoso A; González-Jiménez E; Schmidt-RioValle J; González-Ruíz K
    Nutrients; 2017 Sep; 9(9):. PubMed ID: 28902162
    [TBL] [Abstract][Full Text] [Related]  

  • 30. The lipid accumulation product is associated with impaired glucose tolerance in PCOS women.
    Wehr E; Gruber HJ; Giuliani A; Möller R; Pieber TR; Obermayer-Pietsch B
    J Clin Endocrinol Metab; 2011 Jun; 96(6):E986-90. PubMed ID: 21470992
    [TBL] [Abstract][Full Text] [Related]  

  • 31. Lipid accumulation product: a powerful marker of metabolic syndrome in healthy population.
    Taverna MJ; Martínez-Larrad MT; Frechtel GD; Serrano-Ríos M
    Eur J Endocrinol; 2011 Apr; 164(4):559-67. PubMed ID: 21262912
    [TBL] [Abstract][Full Text] [Related]  

  • 32. Lipid accumulation product: a simple and accurate index for predicting metabolic syndrome in Taiwanese people aged 50 and over.
    Chiang JK; Koo M
    BMC Cardiovasc Disord; 2012 Sep; 12():78. PubMed ID: 23006530
    [TBL] [Abstract][Full Text] [Related]  

  • 33. Association of Lipid Accumulation Product with Cardio-Metabolic Risk Factors in Postmenopausal Women.
    Namazi Shabestari A; Asadi M; Jouyandeh Z; Qorbani M; Kelishadi R
    Acta Med Iran; 2016 Jun; 54(6):370-5. PubMed ID: 27306343
    [TBL] [Abstract][Full Text] [Related]  

  • 34. Waist Circumference Is an Essential Factor in Predicting Insulin Resistance and Early Detection of Metabolic Syndrome in Adults.
    Ramírez-Manent JI; Jover AM; Martinez CS; Tomás-Gil P; Martí-Lliteras P; López-González ÁA
    Nutrients; 2023 Jan; 15(2):. PubMed ID: 36678129
    [TBL] [Abstract][Full Text] [Related]  

  • 35. DIAGNOSTIC PERFORMANCE OF WAIST CIRCUMFERENCE MEASUREMENTS FOR PREDICTING CARDIOMETABOLIC RISK IN MEXICAN CHILDREN.
    López-González D; Miranda-Lora A; Klünder-Klünder M; Queipo-García G; Bustos-Esquivel M; Paez-Villa M; Villanueva-Ortega E; Chávez-Requena I; Laresgoiti-Servitje E; Garibay-Nieto N
    Endocr Pract; 2016 Oct; 22(10):1170-1176. PubMed ID: 27295014
    [TBL] [Abstract][Full Text] [Related]  

  • 36. Waist-to-Height Ratio and Triglycerides/High-Density Lipoprotein Cholesterol Were the Optimal Predictors of Metabolic Syndrome in Uighur Men and Women in Xinjiang, China.
    Chen BD; Yang YN; Ma YT; Pan S; He CH; Liu F; Ma X; Fu ZY; Li XM; Xie X; Zheng YY
    Metab Syndr Relat Disord; 2015 Jun; 13(5):214-20. PubMed ID: 25781351
    [TBL] [Abstract][Full Text] [Related]  

  • 37. Enhanced Predictive Value of Lipid Accumulation Product for Identifying Metabolic Syndrome in the General Population of China.
    Shao Q; Li J; Wu Y; Liu X; Wang N; Jiang Y; Zhao Q; Zhao G
    Nutrients; 2023 Jul; 15(14):. PubMed ID: 37513586
    [TBL] [Abstract][Full Text] [Related]  

  • 38. Lipid accumulation product and metabolic syndrome: a population-based study in northern Iran, Amol.
    Motamed N; Razmjou S; Hemmasi G; Maadi M; Zamani F
    J Endocrinol Invest; 2016 Apr; 39(4):375-82. PubMed ID: 26319991
    [TBL] [Abstract][Full Text] [Related]  

  • 39. Three novel obese indicators perform better in monitoring management of metabolic syndrome in type 2 diabetes.
    Ma CM; Lu N; Wang R; Liu XL; Lu Q; Yin FZ
    Sci Rep; 2017 Aug; 7(1):9843. PubMed ID: 28852155
    [TBL] [Abstract][Full Text] [Related]  

  • 40. Association Between Lipid Accumulation Product and Mild Cognitive Impairment in Patients with Type 2 Diabetes.
    Yu ZW; Li X; Wang Y; Fu YH; Gao XY
    J Alzheimers Dis; 2020; 77(1):367-374. PubMed ID: 32804130
    [TBL] [Abstract][Full Text] [Related]  

    [Previous]   [Next]    [New Search]
    of 8.