324 related articles for article (PubMed ID: 30656697)
1. External validation and comparison of four cardiovascular risk prediction models with data from the Australian Diabetes, Obesity and Lifestyle study.
Albarqouni L; Doust JA; Magliano D; Barr EL; Shaw JE; Glasziou PP
Med J Aust; 2019 Mar; 210(4):161-167. PubMed ID: 30656697
[TBL] [Abstract][Full Text] [Related]
2. External validation and clinical usefulness of three commonly used cardiovascular risk prediction scores in an Emirati population: a retrospective longitudinal cohort study.
Al-Shamsi S; Govender RD; King J
BMJ Open; 2020 Oct; 10(10):e040680. PubMed ID: 33115904
[TBL] [Abstract][Full Text] [Related]
3. Performance of the Pooled Cohort Equations to Estimate Atherosclerotic Cardiovascular Disease Risk by Body Mass Index.
Khera R; Pandey A; Ayers CR; Carnethon MR; Greenland P; Ndumele CE; Nambi V; Seliger SL; Chaves PHM; Safford MM; Cushman M; Xanthakis V; Vasan RS; Mentz RJ; Correa A; Lloyd-Jones DM; Berry JD; de Lemos JA; Neeland IJ
JAMA Netw Open; 2020 Oct; 3(10):e2023242. PubMed ID: 33119108
[TBL] [Abstract][Full Text] [Related]
4. Temporal trends in cardiovascular risk factors and performance of the Framingham Risk Score and the Pooled Cohort Equations.
Rospleszcz S; Thorand B; de Las Heras Gala T; Meisinger C; Holle R; Koenig W; Mansmann U; Peters A
J Epidemiol Community Health; 2019 Jan; 73(1):19-25. PubMed ID: 30262553
[TBL] [Abstract][Full Text] [Related]
5. Validation of Risk Prediction Models for Atherosclerotic Cardiovascular Disease in a Prospective Korean Community-Based Cohort.
Bae JH; Moon MK; Oh S; Koo BK; Cho NH; Lee MK
Diabetes Metab J; 2020 Jun; 44(3):458-469. PubMed ID: 31950769
[TBL] [Abstract][Full Text] [Related]
6. Cardiovascular Risk Prediction Functions Underestimate Risk in HIV Infection.
Triant VA; Perez J; Regan S; Massaro JM; Meigs JB; Grinspoon SK; D'Agostino RB
Circulation; 2018 May; 137(21):2203-2214. PubMed ID: 29444987
[TBL] [Abstract][Full Text] [Related]
7. External validation of three atherosclerotic cardiovascular disease risk equations in rural areas of Xinjiang, China.
Jiang Y; Ma R; Guo H; Zhang X; Wang X; Wang K; Hu Y; Keerman M; Yan Y; Ma J; Song Y; Zhang J; He J; Guo S
BMC Public Health; 2020 Sep; 20(1):1471. PubMed ID: 32993590
[TBL] [Abstract][Full Text] [Related]
8. Cardiovascular risk prediction in a population with the metabolic syndrome: Framingham vs. UKPDS algorithms.
Zomer E; Liew D; Owen A; Magliano DJ; Ademi Z; Reid CM
Eur J Prev Cardiol; 2014 Mar; 21(3):384-90. PubMed ID: 22588087
[TBL] [Abstract][Full Text] [Related]
9. Cardiovascular disease risk prediction in sub-Saharan African populations - Comparative analysis of risk algorithms in the RODAM study.
Boateng D; Agyemang C; Beune E; Meeks K; Smeeth L; Schulze MB; Addo J; de-Graft Aikins A; Galbete C; Bahendeka S; Danquah I; Agyei-Baffour P; Owusu-Dabo E; Mockenhaupt FP; Spranger J; Kengne AP; Grobbee DE; Klipstein-Grobusch K
Int J Cardiol; 2018 Mar; 254():310-315. PubMed ID: 29407113
[TBL] [Abstract][Full Text] [Related]
10. A 10- and 15-year performance analysis of ESC/EAS and ACC/AHA cardiovascular risk scores in a Southern European cohort.
Santos-Ferreira C; Baptista R; Oliveira-Santos M; Moura JP; Gonçalves L
BMC Cardiovasc Disord; 2020 Jun; 20(1):301. PubMed ID: 32560700
[TBL] [Abstract][Full Text] [Related]
11. Performance of the Framingham risk models and pooled cohort equations for predicting 10-year risk of cardiovascular disease: a systematic review and meta-analysis.
Damen JA; Pajouheshnia R; Heus P; Moons KGM; Reitsma JB; Scholten RJPM; Hooft L; Debray TPA
BMC Med; 2019 Jun; 17(1):109. PubMed ID: 31189462
[TBL] [Abstract][Full Text] [Related]
12. Cardiovascular risk prediction in HIV-infected patients: comparing the Framingham, atherosclerotic cardiovascular disease risk score (ASCVD), Systematic Coronary Risk Evaluation for the Netherlands (SCORE-NL) and Data Collection on Adverse Events of Anti-HIV Drugs (D:A:D) risk prediction models.
Krikke M; Hoogeveen RC; Hoepelman AI; Visseren FL; Arends JE
HIV Med; 2016 Apr; 17(4):289-97. PubMed ID: 26268806
[TBL] [Abstract][Full Text] [Related]
13. Comparison of the Framingham and United Kingdom Prospective Diabetes Study cardiovascular risk equations in Australian patients with type 2 diabetes from the Fremantle Diabetes Study.
Davis WA; Colagiuri S; Davis TM
Med J Aust; 2009 Feb; 190(4):180-4. PubMed ID: 19220181
[TBL] [Abstract][Full Text] [Related]
14. 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]
15. 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. PubMed ID: 19741542
[TBL] [Abstract][Full Text] [Related]
16. The Accuracy of Cardiovascular Pooled Cohort Risk Estimates in U.S. Older Adults.
Nanna MG; Peterson ED; Wojdyla D; Navar AM
J Gen Intern Med; 2020 Jun; 35(6):1701-1708. PubMed ID: 31667745
[TBL] [Abstract][Full Text] [Related]
17. Estimation of Atherosclerotic Cardiovascular Disease Risk Among Patients in the Veterans Affairs Health Care System.
Vassy JL; Lu B; Ho YL; Galloway A; Raghavan S; Honerlaw J; Tarko L; Russo J; Qazi S; Orkaby AR; Tanukonda V; Djousse L; Gaziano JM; Gagnon DR; Cho K; Wilson PWF
JAMA Netw Open; 2020 Jul; 3(7):e208236. PubMed ID: 32662843
[TBL] [Abstract][Full Text] [Related]
18. Prediction of the 10-year risk of atherosclerotic cardiovascular disease in the Korean population.
Park S; Kim YG; Ann SH; Cho YR; Kim SJ; Han S; Park GM
Epidemiol Health; 2023; 45():e2023052. PubMed ID: 37189276
[TBL] [Abstract][Full Text] [Related]
19. Performance of atherosclerotic cardiovascular risk prediction models in a rural Northern Chinese population: Results from the Fangshan Cohort Study.
Tang X; Zhang D; He L; Wu N; Si Y; Cao Y; Huang S; Li N; Li J; Dou H; Gao P; Hu Y
Am Heart J; 2019 May; 211():34-44. PubMed ID: 30831332
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
