163 related articles for article (PubMed ID: 37789412)
1. A comparison of laboratory-based and office-based Framingham risk scores to predict 10-year risk of cardiovascular diseases: a population-based study.
Dehghan A; Ahmadnia Motlagh S; Khezri R; Rezaei F; Aune D
J Transl Med; 2023 Oct; 21(1):687. PubMed ID: 37789412
[TBL] [Abstract][Full Text] [Related]
2. Laboratory-based and office-based Globorisk scores to predict 10-year risk of cardiovascular diseases among Iranians: results from the Fasa PERSIAN cohort.
Jahangiry L; Dehghan A; Farjam M; Aune D; Rezaei F
BMC Med Res Methodol; 2022 Nov; 22(1):305. PubMed ID: 36435774
[TBL] [Abstract][Full Text] [Related]
3. A comparative assessment between Globorisk and WHO cardiovascular disease risk scores: a population-based study.
Dehghan A; Rezaei F; Aune D
Sci Rep; 2023 Aug; 13(1):14229. PubMed ID: 37648706
[TBL] [Abstract][Full Text] [Related]
4. Laboratory-based versus non-laboratory-based World Health Organization risk equations for assessment of cardiovascular disease risk.
Dehghan A; Rayatinejad A; Khezri R; Aune D; Rezaei F
BMC Med Res Methodol; 2023 Jun; 23(1):141. PubMed ID: 37322418
[TBL] [Abstract][Full Text] [Related]
5. Agreement between laboratory-based and non-laboratory-based Framingham risk score in Southern Iran.
Rezaei F; Seif M; Gandomkar A; Fattahi MR; Hasanzadeh J
Sci Rep; 2021 May; 11(1):10767. PubMed ID: 34031448
[TBL] [Abstract][Full Text] [Related]
6. Comparison of laboratory-based and non-laboratory-based WHO cardiovascular disease risk charts: a population-based study.
Rezaei F; Seif M; Gandomkar A; Fattahi MR; Malekzadeh F; Sepanlou SG; Hasanzadeh J
J Transl Med; 2022 Mar; 20(1):133. PubMed ID: 35296342
[TBL] [Abstract][Full Text] [Related]
7. Association between health literacy and Framingham risk score.
Rahimi T; Hashemi SS; Rezaei F; Aune D
Sci Rep; 2024 Jun; 14(1):12837. PubMed ID: 38834663
[TBL] [Abstract][Full Text] [Related]
8. 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. PubMed ID: 27102021
[TBL] [Abstract][Full Text] [Related]
9. Framingham ten-year general cardiovascular disease risk: agreement between BMI-based and cholesterol-based estimates in a South Asian convenience sample.
Jones CA; Ross L; Surani N; Dharamshi N; Karmali K
PLoS One; 2015; 10(3):e0119183. PubMed ID: 25781949
[TBL] [Abstract][Full Text] [Related]
10. Agreement between ten-years cardiovascular disease risk assessment tools: An application to Iranian population in Shahedieh Cohort Study.
Momayyezi M; Sefidkar R; Fallahzadeh H
Heliyon; 2023 Oct; 9(10):e20396. PubMed ID: 37810856
[TBL] [Abstract][Full Text] [Related]
11. 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. PubMed ID: 28126460
[TBL] [Abstract][Full Text] [Related]
12. Agreement between the laboratory-based and non-laboratory-based WHO cardiovascular risk charts: a cross-sectional analysis of a national health survey in Peru.
Guzman-Vilca WC; Quispe-Villegas GA; Váscones Román FF; Bernabe-Ortiz A; Carrillo-Larco RM
BMJ Open; 2022 Nov; 12(11):e063289. PubMed ID: 36344007
[TBL] [Abstract][Full Text] [Related]
13. Associations Between Cardiovascular Risk Factors and Audiometric Hearing: Findings From the Canadian Longitudinal Study on Aging.
Mick PT; Kabir R; Pichora-Fuller MK; Jones C; Moxham L; Phillips N; Urry E; Wittich W
Ear Hear; 2023 Nov-Dec 01; 44(6):1332-1343. PubMed ID: 37122082
[TBL] [Abstract][Full Text] [Related]
14. Effects on Cardiovascular Risk Scores and Vascular Age After Aerobic Exercise and Nutritional Intervention in Sedentary and Overweight/Obese Adults with Primary Hypertension: The EXERDIET-HTA Randomized Trial Study.
Gorostegi-Anduaga I; Maldonado-Martín S; MartinezAguirre-Betolaza A; Corres P; Romaratezabala E; Whittaker AC; Francisco-Terreros S; Pérez-Asenjo J
High Blood Press Cardiovasc Prev; 2018 Dec; 25(4):361-368. PubMed ID: 30251109
[TBL] [Abstract][Full Text] [Related]
15. Comparison of probability of stroke between the Copenhagen City Heart Study and the Framingham Study.
Truelsen T; Lindenstrøm E; Boysen G
Stroke; 1994 Apr; 25(4):802-7. PubMed ID: 8160224
[TBL] [Abstract][Full Text] [Related]
16. Younger age of escalation of cardiovascular risk factors in Asian Indian subjects.
Gupta R; Misra A; Vikram NK; Kondal D; Gupta SS; Agrawal A; Pandey RM
BMC Cardiovasc Disord; 2009 Jul; 9():28. PubMed ID: 19575817
[TBL] [Abstract][Full Text] [Related]
17. Prediction of cardiovascular risk in cancer patients of South India using WHO/ISH risk prediction charts and Framingham score - A prospective study.
Rajanandh MG; Suresh S; Manobala K; Nandhakumar R; Jaswanthi G; Neha S
J Oncol Pharm Pract; 2018 Jul; 24(5):354-358. PubMed ID: 28454502
[TBL] [Abstract][Full Text] [Related]
18. 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]
19. 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. PubMed ID: 21655241
[TBL] [Abstract][Full Text] [Related]
20. Concordance between two versions of world health organization/international society of hypertension risk prediction chart and framingham risk score among postmenopausal women in a rural area of Bangladesh.
Barua L; Faruque M; Banik PC; Ali L
Indian J Public Health; 2019; 63(2):101-106. PubMed ID: 31219057
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]
