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Items: 1 to 20 of 213

1.

Comparative assessment of absolute cardiovascular disease risk characterization from non-laboratory-based risk assessment in South African populations.

Gaziano TA, Pandya A, Steyn K, Levitt N, Mollentze W, Joubert G, Walsh CM, Motala AA, Kruger A, Schutte AE, Naidoo DP, Prakaschandra DR, Laubscher R.

BMC Med. 2013 Jul 24;11:170. doi: 10.1186/1741-7015-11-170.

2.

Comparison of Nonblood-Based and Blood-Based Total CV Risk Scores in Global Populations.

Gaziano TA, Abrahams-Gessel S, Alam S, Alam D, Ali M, Bloomfield G, Carrillo-Larco RM, Dorairaj P, Gutierrez L, Irazola V, Levitt NS, Miranda JJ, Bernabe-Ortiz A, Pandya A, Rubinstein A, Steyn K, Xavier D, Yan LL.

Glob Heart. 2016 Mar;11(1):37-46.e2. doi: 10.1016/j.gheart.2015.12.003.

PMID:
27102021
3.

A comparative assessment of non-laboratory-based versus commonly used laboratory-based cardiovascular disease risk scores in the NHANES III population.

Pandya A, Weinstein MC, Gaziano TA.

PLoS One. 2011;6(5):e20416. doi: 10.1371/journal.pone.0020416. Epub 2011 May 31.

4.

Predicted and observed cardiovascular disease in South Asians: application of FINRISK, Framingham and SCORE models to Newcastle Heart Project data.

Bhopal R, Fischbacher C, Vartiainen E, Unwin N, White M, Alberti G.

J Public Health (Oxf). 2005 Mar;27(1):93-100.

PMID:
15749725
5.
6.

Who needs laboratories and who needs statins?: comparative and cost-effectiveness analyses of non-laboratory-based, laboratory-based, and staged primary cardiovascular disease screening guidelines.

Pandya A, Weinstein MC, Salomon JA, Cutler D, Gaziano TA.

Circ Cardiovasc Qual Outcomes. 2014 Jan;7(1):25-32. doi: 10.1161/CIRCOUTCOMES.113.000397. Epub 2014 Jan 14.

7.

Ethnic group differences in cardiovascular risk assessment scores: national cross-sectional study.

Dalton AR, Bottle A, Soljak M, Majeed A, Millett C.

Ethn Health. 2014 Aug;19(4):367-84. doi: 10.1080/13557858.2013.797568. Epub 2013 May 10.

PMID:
23663041
8.

Agreement Between Cardiovascular Disease Risk Scores in Resource-Limited Settings: Evidence from 5 Peruvian Sites.

Bazo-Alvarez JC, Quispe R, Peralta F, Poterico JA, Valle GA, Burroughs M, Pillay T, Gilman RH, Checkley W, Malaga G, Smeeth L, Bernabé-Ortiz A, Miranda JJ; PERU MIGRANT Study; CRONICAS Cohort Study Group.

Crit Pathw Cardiol. 2015 Jun;14(2):74-80. doi: 10.1097/HPC.0000000000000045.

9.

The global cardiovascular diseases risk pattern in a peri-urban working-class community in South Africa. The Mamre study.

Steyn K, Levitt NS, Hoffman M, Marais AD, Fourie JM, Lambert EV, Gaziano TA, Kepe L, Lombard CJ.

Ethn Dis. 2004 Spring;14(2):233-42.

PMID:
15132209
10.

Laboratory-based and office-based risk scores and charts to predict 10-year risk of cardiovascular disease in 182 countries: a pooled analysis of prospective cohorts and health surveys.

Ueda P, Woodward M, Lu Y, Hajifathalian K, Al-Wotayan R, Aguilar-Salinas CA, Ahmadvand A, Azizi F, Bentham J, Cifkova R, Di Cesare M, Eriksen L, Farzadfar F, Ferguson TS, Ikeda N, Khalili D, Khang YH, Lanska V, León-Muñoz L, Magliano DJ, Margozzini P, Msyamboza KP, Mutungi G, Oh K, Oum S, Rodríguez-Artalejo F, Rojas-Martinez R, Valdivia G, Wilks R, Shaw JE, Stevens GA, Tolstrup JS, Zhou B, Salomon JA, Ezzati M, Danaei G.

Lancet Diabetes Endocrinol. 2017 Mar;5(3):196-213. doi: 10.1016/S2213-8587(17)30015-3. Epub 2017 Jan 24.

PMID:
28126460
11.

Performance of Framingham cardiovascular risk scores by ethnic groups in New Zealand: PREDICT CVD-10.

Riddell T, Wells S, Jackson R, Lee AW, Crengle S, Bramley D, Ameratunga S, Pylypchuk R, Broad J, Marshall R, Kerr A.

N Z Med J. 2010 Feb 19;123(1309):50-61.

PMID:
20186242
12.
13.
14.

Ethnicity and prediction of cardiovascular disease: performance of QRISK2 and Framingham scores in a U.K. tri-ethnic prospective cohort study (SABRE--Southall And Brent REvisited).

Tillin T, Hughes AD, Whincup P, Mayet J, Sattar N, McKeigue PM, Chaturvedi N; SABRE Study Group.

Heart. 2014 Jan;100(1):60-7. doi: 10.1136/heartjnl-2013-304474. Epub 2013 Nov 1.

15.
16.

Evaluation of cardiovascular risk predicted by different SCORE equations: the Netherlands as an example.

van Dis I, Kromhout D, Geleijnse JM, Boer JM, Verschuren WM.

Eur J Cardiovasc Prev Rehabil. 2010 Apr;17(2):244-9. doi: 10.1097/HJR.0b013e328337cca2.

PMID:
20195155
17.

Predictive accuracy and usefulness of calibration of the ESC SCORE in Switzerland.

Marques-Vidal P, Rodondi N, Bochud M, Pécoud A, Hayoz D, Paccaud F, Mooser V, Waeber G, Vollenweider P.

Eur J Cardiovasc Prev Rehabil. 2008 Aug;15(4):402-8. doi: 10.1097/HJR.0b013e3282fb040f.

PMID:
18677163
18.

Abdominal obesity and the spectrum of global cardiometabolic risks in US adults.

Ghandehari H, Le V, Kamal-Bahl S, Bassin SL, Wong ND.

Int J Obes (Lond). 2009 Feb;33(2):239-48. doi: 10.1038/ijo.2008.252. Epub 2008 Dec 9.

PMID:
19050677
19.

Recalibration and validation of the SCORE risk chart in the Australian population: the AusSCORE chart.

Chen L, Tonkin AM, Moon L, Mitchell P, Dobson A, Giles G, Hobbs M, Phillips PJ, Shaw JE, Simmons D, Simons LA, Fitzgerald AP, De Backer G, De Bacquer D.

Eur J Cardiovasc Prev Rehabil. 2009 Oct;16(5):562-70. doi: 10.1097/HJR.0b013e32832cd9cb.

PMID:
19741542
20.

Self-rated cardiovascular risk and 15-year cardiovascular mortality.

Gramling R, Klein W, Roberts M, Waring ME, Gramling D, Eaton CB.

Ann Fam Med. 2008 Jul-Aug;6(4):302-6. doi: 10.1370/afm.859.

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