Comparative effectiveness and safety of high‐dose rivaroxaban and apixaban for atrial fibrillation: A propensity score‐matched cohort study
暂无分享,去创建一个
J. Brophy | J. Tardif | M. Dubé | S. de Denus | R. Cote | M. Dorais | M. Schnitzer | S. Perreault | A. Lenglet | A. Dragomir | B. White-Guay
[1] M. Dorais,et al. Agreement Between Administrative Database and Medical Chart Review for the Prediction of Chronic Kidney Disease G category , 2020, Canadian journal of kidney health and disease.
[2] Jeroen J. Bax,et al. 2020 ESC Guidelines for the diagnosis and management of atrial fibrillation developed in collaboration with the European Association of Cardio-Thoracic Surgery (EACTS). , 2020, European heart journal.
[3] J. Spence. Faculty Opinions recommendation of Effectiveness and safety of apixaban compared with rivaroxaban for patients with atrial fibrillation in routine practice: A cohort study. , 2020, Faculty Opinions – Post-Publication Peer Review of the Biomedical Literature.
[4] T. Martinussen,et al. Response by Bonde and Martinussen to Letter Regarding Article, "Rivaroxaban Versus Apixaban for Stroke Prevention in Atrial Fibrillation: An Instrumental Variable Analysis of a Nationwide Cohort". , 2020, Circulation. Cardiovascular quality and outcomes.
[5] J. Tardif,et al. Oral Anticoagulant Prescription Trends, Profile Use, and Determinants of Adherence in Patients with Atrial Fibrillation , 2019, Pharmacotherapy.
[6] J. Alpert. Bleeding risk in elderly patients receiving anticoagulant therapy: Should dosage be reduced? , 2019, The American journal of medicine.
[7] U. Schwarz,et al. Apixaban Concentrations with Lower than Recommended Dosing in Older Adults with Atrial Fibrillation , 2019, Journal of the American Geriatrics Society.
[8] M. Reichman,et al. Comparative Stroke, Bleeding, and Mortality Risks in Older Medicare Patients Treated with Oral Anticoagulants for Nonvalvular Atrial Fibrillation. , 2019, The American journal of medicine.
[9] P. Gamache,et al. Frailty and health services use among Quebec seniors with non-hip fractures: a population-based study using adminsitrative databases , 2019, BMC Health Services Research.
[10] P. Austin,et al. Propensity‐score matching with competing risks in survival analysis , 2018, Statistics in medicine.
[11] Susan Gruber,et al. Relative Performance of Propensity Score Matching Strategies for Subgroup Analyses , 2018, American journal of epidemiology.
[12] L. Mbuagbaw,et al. Direct comparative effectiveness and safety between non-vitamin K antagonist oral anticoagulants for stroke prevention in nonvalvular atrial fibrillation: a systematic review and meta-analysis of observational studies , 2018, European Journal of Epidemiology.
[13] J. Tardif,et al. Rationale, design, and preliminary results of the Quebec Warfarin Cohort Study , 2018, Clinical cardiology.
[14] R. Testa,et al. Low drug levels and thrombotic complications in high‐risk atrial fibrillation patients treated with direct oral anticoagulants , 2018, Journal of thrombosis and haemostasis : JTH.
[15] G. Patti,et al. Efficacy and safety of oral anticoagulation in elderly patients with atrial fibrillation , 2018, Anatolian journal of cardiology.
[16] Tyler J. VanderWeele,et al. Sensitivity Analysis in Observational Research: Introducing the E-Value , 2017, Annals of Internal Medicine.
[17] A. Pariente,et al. Adherence with direct oral anticoagulants in nonvalvular atrial fibrillation new users and associated factors: a French nationwide cohort study , 2017, Pharmacoepidemiology and drug safety.
[18] Claes Held,et al. The ABC (age, biomarkers, clinical history) stroke risk score: a biomarker-based risk score for predicting stroke in atrial fibrillation , 2016, European heart journal.
[19] L. Wilkins. Association of atrial fibrillation with mortality and disability after ischemic stroke , 2016, Neurology.
[20] E. Antman,et al. Concomitant Use of Single Antiplatelet Therapy With Edoxaban or Warfarin in Patients With Atrial Fibrillation: Analysis From the ENGAGE AF‐TIMI48 Trial , 2016, Journal of the American Heart Association.
[21] E. Antman,et al. Association between edoxaban dose, concentration, anti-Factor Xa activity, and outcomes: an analysis of data from the randomised, double-blind ENGAGE AF-TIMI 48 trial , 2015, The Lancet.
[22] M. Ezekowitz,et al. 2014 AHA/ACC/HRS guideline for the management of patients with atrial fibrillation: a report of the American College of Cardiology/American Heart Association Task Force on practice guidelines and the Heart Rhythm Society. , 2014, Circulation.
[23] S. Messé,et al. Summary of evidence-based guideline update: Prevention of stroke in nonvalvular atrial fibrillation: Report of the Guideline Development Subcommittee of the American Academy of Neurology , 2014, Neurology.
[24] L. Wilkins. Summary of evidence-based guideline update: Prevention of stroke in nonvalvular atrial fibrillation: Report of the Guideline Development Subcommittee of the American Academy of Neurology , 2014, Neurology.
[25] S. Yusuf,et al. The effect of dabigatran plasma concentrations and patient characteristics on the frequency of ischemic stroke and major bleeding in atrial fibrillation patients: the RE-LY Trial (Randomized Evaluation of Long-Term Anticoagulation Therapy). , 2014, Journal of the American College of Cardiology.
[26] D. Singer,et al. Early Adoption of Dabigatran and Its Dosing in US Patients With Atrial Fibrillation: Results From the Outcomes Registry for Better Informed Treatment of Atrial Fibrillation , 2013, Journal of the American Heart Association.
[27] D. Singer,et al. Estimates of current and future incidence and prevalence of atrial fibrillation in the U.S. adult population. , 2013, The American journal of cardiology.
[28] M. O’Donnell,et al. Association of atrial fibrillation with mortality and disability after ischemic stroke , 2013, Neurology.
[29] Mårten Rosenqvist,et al. Evaluation of risk stratification schemes for ischaemic stroke and bleeding in 182 678 patients with atrial fibrillation: the Swedish Atrial Fibrillation cohort study. , 2012, European heart journal.
[30] G. Lip,et al. Antithrombotic Therapy for Atrial Fibrillation: CHEST Guideline and Expert Panel Report , 2012, Chest.
[31] James Floyd,et al. A systematic review of validated methods for identifying atrial fibrillation using administrative data , 2012, Pharmacoepidemiology and drug safety.
[32] D. Atar,et al. Apixaban versus warfarin in patients with atrial fibrillation. , 2011, The New England journal of medicine.
[33] Peter Jüni,et al. An overview of the objectives of and the approaches to propensity score analyses. , 2011, European heart journal.
[34] Rajeev Chaudhry,et al. Use of an electronic administrative database to identify older community dwelling adults at high-risk for hospitalization or emergency department visits: The elders risk assessment index , 2010, BMC health services research.
[35] S. Yusuf,et al. Newly identified events in the RE-LY trial. , 2010, The New England journal of medicine.
[36] Gregory Y H Lip,et al. A novel user-friendly score (HAS-BLED) to assess 1-year risk of major bleeding in patients with atrial fibrillation: the Euro Heart Survey. , 2010, Chest.
[37] David L Buckeridge,et al. Enhancing Pharmacosurveillance with Systematic Collection of Treatment Indication in Electronic Prescribing , 2010, Drug safety.
[38] P. Austin,et al. Optimal caliper widths for propensity-score matching when estimating differences in means and differences in proportions in observational studies , 2010, Pharmaceutical statistics.
[39] Gregory Y H Lip,et al. Refining clinical risk stratification for predicting stroke and thromboembolism in atrial fibrillation using a novel risk factor-based approach: the euro heart survey on atrial fibrillation. , 2010, Chest.
[40] S. Yusuf,et al. Dabigatran versus warfarin in patients with atrial fibrillation. , 2009, The New England journal of medicine.
[41] Peter C Austin,et al. Report Card on Propensity-Score Matching in the Cardiology Literature From 2004 to 2006: A Systematic Review , 2008, Circulation. Cardiovascular quality and outcomes.
[42] Independent predictors of stroke in patients with atrial fibrillation , 2007, Neurology.
[43] A. Laupacis,et al. Population rates of hospitalization for atrial fibrillation/flutter in Canada. , 2004, The Canadian journal of cardiology.
[44] R. Tamblyn,et al. Validation of diagnostic codes within medical services claims. , 2004, Journal of clinical epidemiology.
[45] Stephen H. D. Jackson,et al. Age-related changes in pharmacokinetics and pharmacodynamics: basic principles and practical applications. , 2003, British journal of clinical pharmacology.
[46] R Tamblyn,et al. Using medical services claims to assess injuries in the elderly: sensitivity of diagnostic and procedure codes for injury ascertainment. , 2000, Journal of clinical epidemiology.
[47] A R Levy,et al. Coding accuracy of hospital discharge data for elderly survivors of myocardial infarction. , 1999, The Canadian journal of cardiology.
[48] A Bouckaert,et al. Practical considerations on the use of the Charlson comorbidity index with administrative data bases. , 1996, Journal of clinical epidemiology.
[49] R. Tamblyn,et al. The use of prescription claims databases in pharmacoepidemiological research: the accuracy and comprehensiveness of the prescription claims database in Québec. , 1995, Journal of clinical epidemiology.
[50] W. W. Brabham. Age as a Risk Factor for Stroke in Atrial Fibrillation Patients: Implications for Thromboprophylaxis , 2011 .
[51] R. Troughton,et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. , 2011, The New England journal of medicine.