166 related articles for article (PubMed ID: 37315163)
1. Validation and comparison of cardiovascular risk prediction equations in Chinese patients with Type 2 diabetes.
Liang J; Li Q; Fu Z; Liu X; Shen P; Sun Y; Zhang J; Lu P; Lin H; Tang X; Gao P
Eur J Prev Cardiol; 2023 Sep; 30(12):1293-1303. PubMed ID: 37315163
[TBL] [Abstract][Full Text] [Related]
2. Evaluation of Atherosclerotic Cardiovascular Risk Prediction Models in China: Results From the CHERRY Study.
Liu X; Shen P; Zhang D; Sun Y; Chen Y; Liang J; Wu J; Zhang J; Lu P; Lin H; Tang X; Gao P
JACC Asia; 2022 Feb; 2(1):33-43. PubMed ID: 36340248
[TBL] [Abstract][Full Text] [Related]
3. [Application of the China-PAR risk prediction model for atherosclerotic cardiovascular disease in a rural northern Chinese population].
Tang X; Zhang DD; He L; Cao Y; Wang JW; Li N; Huang SP; Dou HD; Gao P; Hu YH
Beijing Da Xue Xue Bao Yi Xue Ban; 2017 Jun; 49(3):439-445. PubMed ID: 28628144
[TBL] [Abstract][Full Text] [Related]
4. [Applications of the NDR and DIAL models for risk prediction on cardiovascular disease in patients with type 2 diabetes in Ningbo].
Li QQ; Liang JY; Wang JM; Shen P; Sun YX; Chen Q; Wu JG; Lu P; Zhang JY; Lin HB; Tang X; Gao P
Zhonghua Liu Xing Bing Xue Za Zhi; 2022 Jun; 43(6):945-952. PubMed ID: 35725354
[No Abstract] [Full Text] [Related]
5. Optimal body fat percentage cut-off values for identifying cardiovascular risk factors in Mongolian and Han adults: a population-based cross-sectional study in Inner Mongolia, China.
Li Y; Wang H; Wang K; Wang W; Dong F; Qian Y; Gong H; Xu G; Li G; Pan L; Zhu G; Shan G
BMJ Open; 2017 Apr; 7(4):e014675. PubMed ID: 28420663
[TBL] [Abstract][Full Text] [Related]
6. Comparing the performance of machine learning and conventional models for predicting atherosclerotic cardiovascular disease in a general Chinese population.
Fan Z; Du Z; Fu J; Zhou Y; Zhang P; Shi C; Sun Y
BMC Med Inform Decis Mak; 2023 Jul; 23(1):134. PubMed ID: 37488520
[TBL] [Abstract][Full Text] [Related]
7. [Accuracy of the China-PAR and WHO risk models in predicting the ten-year risks of cardiovascular disease in the Chinese population].
Chen WY; Liu XF; Shen P; Chen Q; Sun YX; Wu JG; Lu P; Zhang JY; Lin HB; Tang X; Gao P
Zhonghua Liu Xing Bing Xue Za Zhi; 2022 Aug; 43(8):1275-1281. PubMed ID: 35981990
[No Abstract] [Full Text] [Related]
8. The Framingham and UK Prospective Diabetes Study (UKPDS) risk equations do not reliably estimate the probability of cardiovascular events in a large ethnically diverse sample of patients with diabetes: the Action in Diabetes and Vascular Disease: Preterax and Diamicron-MR Controlled Evaluation (ADVANCE) Study.
Kengne AP; Patel A; Colagiuri S; Heller S; Hamet P; Marre M; Pan CY; Zoungas S; Grobbee DE; Neal B; Chalmers J; Woodward M;
Diabetologia; 2010 May; 53(5):821-31. PubMed ID: 20157695
[TBL] [Abstract][Full Text] [Related]
9. Effectiveness of China-PAR and Framingham risk score in assessment of 10-year cardiovascular disease risk in Chinese hypertensive patients.
Chen X; Tu Q; Wang D; Liu J; Qin Y; Zhang Y; Xiang Q
Public Health; 2023 Jul; 220():127-134. PubMed ID: 37315498
[TBL] [Abstract][Full Text] [Related]
10. [Application of the China-PAR stroke risk equations in a rural northern Chinese population].
Tang X; Zhang DD; Liu XF; Liu QP; Cao Y; Li N; Huang SP; Dou HD; Gao P; Hu YH
Beijing Da Xue Xue Bao Yi Xue Ban; 2020 Jun; 52(3):444-450. PubMed ID: 32541976
[TBL] [Abstract][Full Text] [Related]
11. Performance of Cardiovascular Disease Risk Scores in People Diagnosed With Type 2 Diabetes: External Validation Using Data From the National Scottish Diabetes Register.
Read SH; van Diepen M; Colhoun HM; Halbesma N; Lindsay RS; McKnight JA; McAllister DA; Pearson ER; Petrie JR; Philip S; Sattar N; Woodward M; Wild SH;
Diabetes Care; 2018 Sep; 41(9):2010-2018. PubMed ID: 30002197
[TBL] [Abstract][Full Text] [Related]
12. 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]
13. 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]
14. 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]
15. A Simple Model for Predicting 10-Year Cardiovascular Risk in Middle-Aged to Older Chinese: Guangzhou Biobank Cohort Study.
Huang YY; Tian WB; Jiang CQ; Zhang WS; Zhu F; Jin YL; Lam TH; Xu L; Cheng KK
J Cardiovasc Transl Res; 2022 Apr; 15(2):416-426. PubMed ID: 34402029
[TBL] [Abstract][Full Text] [Related]
16. Prediction of Five-Year Cardiovascular Disease Risk in People with Type 2 Diabetes Mellitus: Derivation in Nanjing, China and External Validation in Scotland, UK.
Wan C; Read S; Wu H; Lu S; Zhang X; Wild SH; Liu Y
Glob Heart; 2022; 17(1):46. PubMed ID: 36051323
[TBL] [Abstract][Full Text] [Related]
17. Comparison of validation and application on various cardiovascular disease mortality risk prediction models in Chinese rural population.
Sun C; Xu F; Liu X; Fang M; Zhou H; Lian Y; Xie C; Sun N; Wang C
Sci Rep; 2017 Mar; 7():43227. PubMed ID: 28337999
[TBL] [Abstract][Full Text] [Related]
18. Cardiovascular disease risk prediction models in the Chinese population- a systematic review and meta-analysis.
Zhiting G; Jiaying T; Haiying H; Yuping Z; Qunfei Y; Jingfen J
BMC Public Health; 2022 Aug; 22(1):1608. PubMed ID: 35999550
[TBL] [Abstract][Full Text] [Related]
19. Rationale, design and population description of the CREDENCE study: cardiovascular risk equations for diabetes patients from New Zealand and Chinese electronic health records.
Liang J; Pylypchuk R; Tang X; Shen P; Liu X; Chen Y; Tan J; Wu J; Zhang J; Lu P; Lin H; Gao P; Jackson R
Eur J Epidemiol; 2021 Oct; 36(10):1085-1095. PubMed ID: 34420154
[TBL] [Abstract][Full Text] [Related]
20.
; ; . PubMed ID:
[No Abstract] [Full Text] [Related]
[Next] [New Search]
