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Ischemic Heart Disease

Free Subscription Articles published in J Clin Epidemiol Retrieve available abstracts of 13 articles: HTML format

Single Articles

February 2024
1. MESIDOR M, Sirois C, Guertin JR, Schnitzer ME, et al
   Effect of statin use for the primary prevention of cardiovascular disease among older adults: A cautionary tale concerning target trials emulation.
   J Clin Epidemiol. 2024 Feb 15:111284. doi: 10.1016/j.jclinepi.2024.111284.
   PubMed     Abstract available
   
   
   January 2024
2. SANTOS JD, Dawson S, Conefrey C, Isaacs T, et al
   Most UK cardiovascular disease trial protocols feature criteria that exclude ethnic minority participants: systematic review.
   J Clin Epidemiol. 2024 Jan 10:111259. doi: 10.1016/j.jclinepi.2024.111259.
   PubMed     Abstract available
   
   
   November 2023
3. MOZETIC DE BARROS V, Pacheco RL, Cabrera Martimbianco AL, Mozetic V, et al
   Definition and reporting of composite outcomes are often inadequate in randomized clinical trials on pharmacological interventions for coronary artery disease.
   J Clin Epidemiol. 2023 Nov 6:S0895-4356(23)00296.
   PubMed     Abstract available
   
   
   July 2023
4. MARTENS LG, van Hamersveld D, le Cessie S, Willems van Dijk K, et al
   The impact of sociodemographic status on the association of classical cardiovascular risk factors with coronary artery disease: a stratified Mendelian Randomization study.
   J Clin Epidemiol. 2023 Jul 25:S0895-4356(23)00181.
   PubMed     Abstract available
   
   
   
5. OFORI S, Cafaro T, Devereaux PJ, Marcucci M, et al
   Noninferiority Margins Exceed Superiority Effect Estimates for Mortality in Cardiovascular Trials in High-Impact Journals.
   J Clin Epidemiol. 2023 Jul 6:S0895-4356(23)00169.
   PubMed     Abstract available
   
   
   May 2023
6. PAMPORIS K, Bougioukas KI, Karakasis P, Papageorgiou D, et al
   Overviews of reviews in the cardiovascular field underreported critical methodological and transparency characteristics: a methodological study based on the PRIOR statement.
   J Clin Epidemiol. 2023 May 26:S0895-4356(23)00130.
   PubMed     Abstract available
   
   
   
7. KIM H, Shahbal H, Parpia S, Averbuch T, et al
   Trials using composite outcomes neglect the presence of competing risks: A methodological survey of cardiovascular studies.
   J Clin Epidemiol. 2023 May 26:S0895-4356(23)00128.
   PubMed     Abstract available
   
   
   November 2022
8. STREETER AJ, Rodgers LR, Hamilton F, Masoli JAH, et al
   Influenza vaccination reduced myocardial infarctions in United Kingdom older adults: a prior event rate ratio study.
   J Clin Epidemiol. 2022;151:122-131.
   PubMed     Abstract available
   
   
   April 2022
9. GROENHOF TKJ, Mostert M, Lea NC, Haitjema S, et al
   How Traditional Informed Consent Impairs Inclusivity in a Learning Healthcare System: Lessons Learned from the Utrecht Cardiovascular Cohort.
   J Clin Epidemiol. 2022 Apr 30. pii: S0895-4356(22)00114.
   PubMed    
   
   
   
10. TERVONEN T, Prawitz T, Chua GN, Hyacinthe J, et al
    Net clinical benefit of antiplatelet therapy was affected by patient preferences: A personalized benefit-risk assessment.
    J Clin Epidemiol. 2022;144:84-92.
    PubMed     Abstract available
    
    
    January 2022
11. BERKELMANS GFN, Read SH, Gudbjornsdottir S, Wild SH, et al
    Population median imputation was noninferior to complex approaches for imputing missing values in cardiovascular prediction models in clinical practice.
    J Clin Epidemiol. 2022 Jan 20. pii: S0895-4356(22)00017.
    PubMed     Abstract available
    
    
    December 2021
12. FAHIMFAR N, Malekzadeh R, Fotouhi A, Mansournia MA, et al
    An office-based cardiovascular prediction model developed and validated in cohort studies of a middle-income country: Developing and validating an office-based model to predict cardiovascular mortality using cohorts of a middle-income country.
    J Clin Epidemiol. 2021 Dec 14. pii: S0895-4356(21)00420.
    PubMed     Abstract available
    
    
    May 2021
13. COWLING TE, Cromwell DA, Bellot A, Sharples LD, et al
    Logistic regression and machine learning predicted patient mortality from large sets of diagnosis codes comparably.
    J Clin Epidemiol. 2021;133:43-52.
    PubMed     Abstract available
    
    

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