These tools will no longer be maintained as of December 31, 2024. Archived website can be found here. PubMed4Hh GitHub repository can be found here. Contact NLM Customer Service if you have questions.


BIOMARKERS

Molecular Biopsy of Human Tumors

- a resource for Precision Medicine *

250 related articles for article (PubMed ID: 35999550)

  • 1. 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]  

  • 2. Validity of the models predicting 10-year risk of cardiovascular diseases in Asia: A systematic review and prediction model meta-analysis.
    Nomali M; Khalili D; Yaseri M; Mansournia MA; Ayati A; Navid H; Nedjat S
    PLoS One; 2023; 18(11):e0292396. PubMed ID: 38032893
    [TBL] [Abstract][Full Text] [Related]  

  • 3. 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]  

  • 4. Prognostic models for newly-diagnosed chronic lymphocytic leukaemia in adults: a systematic review and meta-analysis.
    Kreuzberger N; Damen JA; Trivella M; Estcourt LJ; Aldin A; Umlauff L; Vazquez-Montes MD; Wolff R; Moons KG; Monsef I; Foroutan F; Kreuzer KA; Skoetz N
    Cochrane Database Syst Rev; 2020 Jul; 7(7):CD012022. PubMed ID: 32735048
    [TBL] [Abstract][Full Text] [Related]  

  • 5. 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]  

  • 6. Prediction models for cardiovascular disease risk in the general population: systematic review.
    Damen JA; Hooft L; Schuit E; Debray TP; Collins GS; Tzoulaki I; Lassale CM; Siontis GC; Chiocchia V; Roberts C; Schlüssel MM; Gerry S; Black JA; Heus P; van der Schouw YT; Peelen LM; Moons KG
    BMJ; 2016 May; 353():i2416. PubMed ID: 27184143
    [TBL] [Abstract][Full Text] [Related]  

  • 7. Machine-learning versus traditional approaches for atherosclerotic cardiovascular risk prognostication in primary prevention cohorts: a systematic review and meta-analysis.
    Liu W; Laranjo L; Klimis H; Chiang J; Yue J; Marschner S; Quiroz JC; Jorm L; Chow CK
    Eur Heart J Qual Care Clin Outcomes; 2023 Jun; 9(4):310-322. PubMed ID: 36869800
    [TBL] [Abstract][Full Text] [Related]  

  • 8. 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]  

  • 9. Cardiovascular disease risk prediction equations in 400 000 primary care patients in New Zealand: a derivation and validation study.
    Pylypchuk R; Wells S; Kerr A; Poppe K; Riddell T; Harwood M; Exeter D; Mehta S; Grey C; Wu BP; Metcalf P; Warren J; Harrison J; Marshall R; Jackson R
    Lancet; 2018 May; 391(10133):1897-1907. PubMed ID: 29735391
    [TBL] [Abstract][Full Text] [Related]  

  • 10. Risk prediction models for deep venous thrombosis in patients with acute stroke: A systematic review and meta-analysis.
    Fu H; Hou D; Xu R; You Q; Li H; Yang Q; Wang H; Gao J; Bai D
    Int J Nurs Stud; 2024 Jan; 149():104623. PubMed ID: 37944356
    [TBL] [Abstract][Full Text] [Related]  

  • 11. One Heartbeat Away from a Prediction Model for Cardiovascular Diseases in Patients with Chronic Kidney Disease: A Systematic Review.
    Smit LCM; Bots ML; van der Leeuw J; Damen JAAG; Blankestijn PJ; Verhaar MC; Vernooij RWM
    Cardiorenal Med; 2023; 13(1):109-142. PubMed ID: 36806550
    [TBL] [Abstract][Full Text] [Related]  

  • 12. Validation and development of models using clinical, biochemical and ultrasound markers for predicting pre-eclampsia: an individual participant data meta-analysis.
    Allotey J; Snell KI; Smuk M; Hooper R; Chan CL; Ahmed A; Chappell LC; von Dadelszen P; Dodds J; Green M; Kenny L; Khalil A; Khan KS; Mol BW; Myers J; Poston L; Thilaganathan B; Staff AC; Smith GC; Ganzevoort W; Laivuori H; Odibo AO; Ramírez JA; Kingdom J; Daskalakis G; Farrar D; Baschat AA; Seed PT; Prefumo F; da Silva Costa F; Groen H; Audibert F; Masse J; Skråstad RB; Salvesen KÅ; Haavaldsen C; Nagata C; Rumbold AR; Heinonen S; Askie LM; Smits LJ; Vinter CA; Magnus PM; Eero K; Villa PM; Jenum AK; Andersen LB; Norman JE; Ohkuchi A; Eskild A; Bhattacharya S; McAuliffe FM; Galindo A; Herraiz I; Carbillon L; Klipstein-Grobusch K; Yeo S; Teede HJ; Browne JL; Moons KG; Riley RD; Thangaratinam S
    Health Technol Assess; 2020 Dec; 24(72):1-252. PubMed ID: 33336645
    [TBL] [Abstract][Full Text] [Related]  

  • 13. Predicting major adverse cardiovascular events for secondary prevention: protocol for a systematic review and meta-analysis of risk prediction models.
    Akyea RK; Leonardi-Bee J; Asselbergs FW; Patel RS; Durrington P; Wierzbicki AS; Ibiwoye OH; Kai J; Qureshi N; Weng SF
    BMJ Open; 2020 Jul; 10(7):e034564. PubMed ID: 32718921
    [TBL] [Abstract][Full Text] [Related]  

  • 14. 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]  

  • 15. 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]  

  • 16. [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]  

  • 17. Predicting the 10-Year Risks of Atherosclerotic Cardiovascular Disease in Chinese Population: The China-PAR Project (Prediction for ASCVD Risk in China).
    Yang X; Li J; Hu D; Chen J; Li Y; Huang J; Liu X; Liu F; Cao J; Shen C; Yu L; Lu F; Wu X; Zhao L; Wu X; Gu D
    Circulation; 2016 Nov; 134(19):1430-1440. PubMed ID: 27682885
    [TBL] [Abstract][Full Text] [Related]  

  • 18. [Effectiveness of different screening strategies for primary prevention of cardiovascular diseases in a rural northern Chinese population].
    Si YQ; Tang X; Zhang DD; He L; Cao Y; Wang JW; Li N; Liu JJ; Gao P; Hu YH
    Beijing Da Xue Xue Bao Yi Xue Ban; 2018 Jun; 50(3):443-449. PubMed ID: 29930411
    [TBL] [Abstract][Full Text] [Related]  

  • 19. Prediction models for skin tears in the elderly: A systematic review and meta-analysis.
    Fan S; Jiang H; Shen J; Lin H; Yang L; Yu D; Zhang M; Zheng N; Chen L
    Geriatr Nurs; 2024 Jul; 59():103-112. PubMed ID: 38996767
    [TBL] [Abstract][Full Text] [Related]  

  • 20.
    ; ; . PubMed ID:
    [No Abstract]   [Full Text] [Related]  

    [Next]    [New Search]
    of 13.