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AHRQ Research Studies
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Research Studies is a compilation of published research articles funded by AHRQ or authored by AHRQ researchers.
Results
1 to 4 of 4 Research Studies DisplayedDesai RJ, Wyss R, Jin Y
Extension of disease risk score-based confounding adjustments for multiple outcomes of interest: an empirical evaluation.
Use of disease risk score (DRS)-based confounding adjustment when estimating treatment effects on multiple outcomes is not well studied. In this empirical cohort study, the investigators compared dabigatran initiators and warfarin initiators with respect to risks of ischemic stroke and major bleeding in 12 sequential monitoring periods (90 days each), using data from the Truven Marketscan database (Truven Health Analytics, Ann Arbor, Michigan).
AHRQ-funded; HS022193.
Citation: Desai RJ, Wyss R, Jin Y .
Extension of disease risk score-based confounding adjustments for multiple outcomes of interest: an empirical evaluation.
Am J Epidemiol 2018 Nov;187(11):2439-48. doi: 10.1093/aje/kwy130.
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Keywords: Blood Thinners, Cardiovascular Conditions, Medication, Outcomes, Research Methodologies, Risk, Stroke
Roumie CL, Patel NJ, Munoz D
Design and outcomes of the Patient Centered Outcomes Research Institute coronary heart disease cohort study.
The objective was to electronically identify, recruit, and survey coronary heart disease (CHD) patients and describe their characteristics and willingness to participate in future research. The majority reported that their health was good or very good, while 40 percent reported that their general and physical health were fair or poor. A patient sample was provided with a trial summary which would randomize their aspirin dose; and 63 percent reported that they would consider participating.
AHRQ-funded; HS022990.
Citation: Roumie CL, Patel NJ, Munoz D .
Design and outcomes of the Patient Centered Outcomes Research Institute coronary heart disease cohort study.
Contemp Clin Trials Commun 2018 Jun;10:42-49. doi: 10.1016/j.conctc.2018.03.001.
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Keywords: Cardiovascular Conditions, Heart Disease and Health, Patient-Centered Outcomes Research, Research Methodologies
Engelgau MM, Narayan KMV, Ezzati M
AHRQ Author: Meyers D
Implementation research to address the United States health disadvantage: report of a National Heart, Lung, and Blood Institute workshop.
This paper discusses the meeting of a panel of national and international health experts and stakeholders for a Think Tank meeting to explore the U.S. health disadvantage and to seek specific recommendations for implementation research opportunities for heart, lung, blood, and sleep disorders, convened by the National Heart, Lung, and Blood Institute.
AHRQ-authored.
Citation: Engelgau MM, Narayan KMV, Ezzati M .
Implementation research to address the United States health disadvantage: report of a National Heart, Lung, and Blood Institute workshop.
Glob Heart 2018 Jun;13(2):65-72. doi: 10.1016/j.gheart.2018.03.003.
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Keywords: Cardiovascular Conditions, Guidelines, Research Methodologies
Stocco FG, Evaristo E, Shah NR
Marked exercise-induced T-wave heterogeneity in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis.
The authors investigated whether T-wave heterogeneity (TWH) is elevated during exercise tolerance testing (ETT) in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis compared to control subjects without diabetes. They found that TWH is capable of detecting latent repolarization abnormalities, which are present during ETT in diabetic patients with nonflow-limiting stenosis but not in control subjects. They concluded that the technique developed in this study permits TWH analysis from archived ECGs and thereby enables mining of extensive databases for retrospective studies and hypothesis testing.
AHRQ-funded; HS022998.
Citation: Stocco FG, Evaristo E, Shah NR .
Marked exercise-induced T-wave heterogeneity in symptomatic diabetic patients with nonflow-limiting coronary artery stenosis.
Ann Noninvasive Electrocardiol 2018 Mar;23(2):e12503. doi: 10.1111/anec.12503.
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Keywords: Cardiovascular Conditions, Data, Diabetes, Research Methodologies