BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

129 related articles for article (PubMed ID: 29045312)

  • 1. Validation of the nonlaboratory-based Framingham cardiovascular disease risk assessment algorithm in the Atherosclerosis Risk in Communities dataset.
    Kariuki JK; Stuart-Shor EM; Leveille SG; Gona P; Cromwell J; Hayman LL
    J Cardiovasc Med (Hagerstown); 2017 Dec; 18(12):936-945. PubMed ID: 29045312
    [TBL] [Abstract][Full Text] [Related]  

  • 2. Separate and combined associations of body-mass index and abdominal adiposity with cardiovascular disease: collaborative analysis of 58 prospective studies.
    ; Wormser D; Kaptoge S; Di Angelantonio E; Wood AM; Pennells L; Thompson A; Sarwar N; Kizer JR; Lawlor DA; Nordestgaard BG; Ridker P; Salomaa V; Stevens J; Woodward M; Sattar N; Collins R; Thompson SG; Whitlock G; Danesh J
    Lancet; 2011 Mar; 377(9771):1085-95. PubMed ID: 21397319
    [TBL] [Abstract][Full Text] [Related]  

  • 3. Anthropometric measures in cardiovascular disease prediction: comparison of laboratory-based versus non-laboratory-based model.
    Dhana K; Ikram MA; Hofman A; Franco OH; Kavousi M
    Heart; 2015 Mar; 101(5):377-83. PubMed ID: 25502814
    [TBL] [Abstract][Full Text] [Related]  

  • 4. The differential association between various anthropometric indices of obesity and subclinical atherosclerosis.
    Yan RT; Yan AT; Anderson TJ; Buithieu J; Charbonneau F; Title L; Verma S; Lonn EM
    Atherosclerosis; 2009 Nov; 207(1):232-8. PubMed ID: 19439301
    [TBL] [Abstract][Full Text] [Related]  

  • 5. Optimal cut-points for body mass index, waist circumference and waist-to-hip ratio using the Framingham coronary heart disease risk score in an Arab population of the Middle East.
    Al-Lawati JA; Barakat NM; Al-Lawati AM; Mohammed AJ
    Diab Vasc Dis Res; 2008 Nov; 5(4):304-9. PubMed ID: 18958841
    [TBL] [Abstract][Full Text] [Related]  

  • 6. Anthropometric assessment of abdominal obesity and coronary heart disease risk in men: the PRIME study.
    Gruson E; Montaye M; Kee F; Wagner A; Bingham A; Ruidavets JB; Haas B; Evans A; Ferrières J; Ducimetière PP; Amouyel P; Dallongeville J
    Heart; 2010 Jan; 96(2):136-40. PubMed ID: 19561364
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Latin American Clinical Epidemiology Network Series - Paper 7: Central obesity measurements better identified risk factors for coronary heart disease risk in the Chilean National Health Survey (2009-2010).
    Lanas F; Serón P; Muñoz S; Margozzini P; Puig T
    J Clin Epidemiol; 2017 Jun; 86():111-116. PubMed ID: 27765654
    [TBL] [Abstract][Full Text] [Related]  

  • 8. Cost-effectiveness of the non-laboratory based Framingham algorithm in primary prevention of cardiovascular disease: A simulated analysis of a cohort of African American adults.
    Kariuki JK; Gona P; Leveille SG; Stuart-Shor EM; Hayman LL; Cromwell J
    Prev Med; 2018 Jun; 111():415-422. PubMed ID: 29224996
    [TBL] [Abstract][Full Text] [Related]  

  • 9. The discriminative ability of waist circumference, body mass index and waist-to-hip ratio in identifying metabolic syndrome: Variations by age, sex and race.
    Cheong KC; Ghazali SM; Hock LK; Subenthiran S; Huey TC; Kuay LK; Mustapha FI; Yusoff AF; Mustafa AN
    Diabetes Metab Syndr; 2015; 9(2):74-8. PubMed ID: 25819369
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Anthropometric measures and absolute cardiovascular risk estimates in the Australian Diabetes, Obesity and Lifestyle (AusDiab) Study.
    Chen L; Peeters A; Magliano DJ; Shaw JE; Welborn TA; Wolfe R; Zimmet PZ; Tonkin AM
    Eur J Cardiovasc Prev Rehabil; 2007 Dec; 14(6):740-5. PubMed ID: 18043293
    [TBL] [Abstract][Full Text] [Related]  

  • 11. Red cell distribution width and risk of cardiovascular mortality: Insights from National Health and Nutrition Examination Survey (NHANES)-III.
    Shah N; Pahuja M; Pant S; Handa A; Agarwal V; Patel N; Dusaj R
    Int J Cardiol; 2017 Apr; 232():105-110. PubMed ID: 28117138
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Obesity and Abdominal Fat Markers in Patients with a History of Stroke and Transient Ischemic Attacks.
    Winter Y; Pieper L; Klotsche J; Riedel O; Wittchen HU
    J Stroke Cerebrovasc Dis; 2016 May; 25(5):1141-1147. PubMed ID: 26915603
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Anthropometry-based Obesity Phenotypes and Risk of Colorectal Adenocarcinoma: A Large Prospective Cohort Study in Norway.
    Lu Y; Ness-Jensen E; Martling A; Hveem K
    Epidemiology; 2016 May; 27(3):423-32. PubMed ID: 26808598
    [TBL] [Abstract][Full Text] [Related]  

  • 14. Predictive value for the Chinese population of the Framingham CHD risk assessment tool compared with the Chinese Multi-Provincial Cohort Study.
    Liu J; Hong Y; D'Agostino RB; Wu Z; Wang W; Sun J; Wilson PW; Kannel WB; Zhao D
    JAMA; 2004 Jun; 291(21):2591-9. PubMed ID: 15173150
    [TBL] [Abstract][Full Text] [Related]  

  • 15. Anthropometric indices predicting incident type 2 diabetes in an Iranian population: the Isfahan Cohort Study.
    Talaei M; Sadeghi M; Marshall T; Thomas GN; Iranipour R; Nazarat N; Sarrafzadegan N
    Diabetes Metab; 2013 Oct; 39(5):424-31. PubMed ID: 23867722
    [TBL] [Abstract][Full Text] [Related]  

  • 16. Waist circumference predicts increased cardiometabolic risk in normal weight adolescent males.
    Taylor SA; Hergenroeder AC
    Int J Pediatr Obes; 2011 Jun; 6(2-2):e307-11. PubMed ID: 21649469
    [TBL] [Abstract][Full Text] [Related]  

  • 17. Derivation and validation of QRISK, a new cardiovascular disease risk score for the United Kingdom: prospective open cohort study.
    Hippisley-Cox J; Coupland C; Vinogradova Y; Robson J; May M; Brindle P
    BMJ; 2007 Jul; 335(7611):136. PubMed ID: 17615182
    [TBL] [Abstract][Full Text] [Related]  

  • 18. A comparison of the PROCAM and Framingham point-scoring systems for estimation of individual risk of coronary heart disease in the Second Northwick Park Heart Study.
    Cooper JA; Miller GJ; Humphries SE
    Atherosclerosis; 2005 Jul; 181(1):93-100. PubMed ID: 15939059
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Evidence of inappropriate cardiovascular risk assessment in middle-age women based on recommended cut-points for waist circumference.
    Florath I; Brandt S; Weck MN; Moss A; Gottmann P; Rothenbacher D; Wabitsch M; Brenner H
    Nutr Metab Cardiovasc Dis; 2014 Oct; 24(10):1112-9. PubMed ID: 24932537
    [TBL] [Abstract][Full Text] [Related]  

  • 20. Derivation and validation of updated QFracture algorithm to predict risk of osteoporotic fracture in primary care in the United Kingdom: prospective open cohort study.
    Hippisley-Cox J; Coupland C
    BMJ; 2012 May; 344():e3427. PubMed ID: 22619194
    [TBL] [Abstract][Full Text] [Related]  

    [Next]    [New Search]
    of 7.