Non-Vitamin K Antagonist Oral Anticoagulant Dosing in Patients With Atrial Fibrillation and Renal Dysfunction.
暂无分享,去创建一个
Xiaoxi Yao | P. Noseworthy | B. Gersh | N. Shah | Lindsey R. Sangaralingham | Xiaoxi Yao | L. Sangaralingham | Nilay D. Shah | Bernard J. Gersh | Peter A. Noseworthy | N. Shah
[1] G. Breithardt,et al. Rivaroxaban versus warfarin in nonvalvular atrial fibrillation. , 2011, The New England journal of medicine.
[2] J. Gagne,et al. Prediction of rates of thromboembolic and major bleeding outcomes with dabigatran or warfarin among patients with atrial fibrillation: new initiator cohort study , 2016, British Medical Journal.
[3] A. Camm,et al. XANTUS: a real-world, prospective, observational study of patients treated with rivaroxaban for stroke prevention in atrial fibrillation , 2015, European heart journal.
[4] Elizabeth A Stuart,et al. Matching methods for causal inference: A review and a look forward. , 2010, Statistical science : a review journal of the Institute of Mathematical Statistics.
[5] Apixaban versus Warfarin in Patients with Atrial Fibrillation , 2012 .
[6] Emily C. O'Brien,et al. Assessing generalizability of trial results in general practice. , 2016, European heart journal.
[7] P. Wolf,et al. Atrial fibrillation as an independent risk factor for stroke: the Framingham Study. , 1991, Stroke.
[8] K. Huybrechts,et al. Safety and effectiveness of dabigatran and warfarin in routine care of patients with atrial fibrillation , 2015, Thrombosis and Haemostasis.
[9] Nilay D Shah,et al. Optum Labs: building a novel node in the learning health care system. , 2014, Health affairs.
[10] P. Austin. Balance diagnostics for comparing the distribution of baseline covariates between treatment groups in propensity-score matched samples , 2009, Statistics in medicine.
[11] R. Porcher,et al. Propensity score applied to survival data analysis through proportional hazards models: a Monte Carlo study , 2012, Pharmaceutical statistics.
[12] Leon Poller,et al. Dabigatran versus warfarin in patients with atrial fibrillation. , 2009, The New England journal of medicine.
[13] Sonal Singh,et al. Risk of gastrointestinal bleeding associated with oral anticoagulants: population based retrospective cohort study , 2015, BMJ : British Medical Journal.
[14] E. Stuart,et al. Moving towards best practice when using inverse probability of treatment weighting (IPTW) using the propensity score to estimate causal treatment effects in observational studies , 2015, Statistics in medicine.
[15] G. Caleb Alexander,et al. Effect of Adherence to Oral Anticoagulants on Risk of Stroke and Major Bleeding Among Patients With Atrial Fibrillation , 2016, Journal of the American Heart Association.
[16] Hugh Calkins,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, Journal of the American College of Cardiology.
[17] P. Grambsch,et al. Proportional hazards tests and diagnostics based on weighted residuals , 1994 .
[18] 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.
[19] C. Schmid,et al. A new equation to estimate glomerular filtration rate. , 2009, Annals of internal medicine.
[20] G. Lip,et al. Effectiveness and safety of reduced dose non-vitamin K antagonist oral anticoagulants and warfarin in patients with atrial fibrillation: propensity weighted nationwide cohort study , 2017, British Medical Journal.
[21] 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.
[22] E. Antman,et al. Edoxaban versus warfarin in patients with atrial fibrillation. , 2013, The New England journal of medicine.
[23] M. Keltai,et al. Efficacy of apixaban when compared with warfarin in relation to renal function in patients with atrial fibrillation: insights from the ARISTOTLE trial. , 2012, European heart journal.
[24] V. Prasad,et al. Prespecified falsification end points: can they validate true observational associations? , 2013, JAMA.
[25] G. Lip,et al. Real-world comparison of major bleeding risk among non-valvular atrial fibrillation patients initiated on apixaban, dabigatran, rivaroxaban, or warfarin , 2016, Thrombosis and Haemostasis.
[26] A. Camm,et al. Updated European Heart Rhythm Association Practical Guide on the use of non-vitamin K antagonist anticoagulants in patients with non-valvular atrial fibrillation. , 2015, Europace : European pacing, arrhythmias, and cardiac electrophysiology : journal of the working groups on cardiac pacing, arrhythmias, and cardiac cellular electrophysiology of the European Society of Cardiology.
[27] Ya-Hui Hsueh,et al. Stroke, Bleeding, and Mortality Risks in Elderly Medicare Beneficiaries Treated With Dabigatran or Rivaroxaban for Nonvalvular Atrial Fibrillation. , 2016, JAMA internal medicine.
[28] F. Dekker,et al. Performance of the Cockcroft-Gault, MDRD, and new CKD-EPI formulas in relation to GFR, age, and body size. , 2010, Clinical journal of the American Society of Nephrology : CJASN.
[29] E. Letavernier,et al. GFR estimation using the Cockcroft-Gault, MDRD study, and CKD-EPI equations in the elderly. , 2012, American journal of kidney diseases : the official journal of the National Kidney Foundation.