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Research Centre of the Montreal Heart I... Publications | LitMetric

5 results match your criteria: "Research Centre of the Montreal Heart Institute[Affiliation]"

The Canadian STOP-PAIN project: the burden of chronic pain-does sex really matter?

Clin J Pain

May 2014

*Department of Psychology, Université du Québec à Montréal †Centre de Recherche ‡‡Clinique de la douleur du, Centre Hospitalier de l'Université de Montréal Departments of ‡Family Medicine and Emergency #Anaesthesiology, Faculty of Medicine, Université de Montréal §Research Centre of the Montreal Heart Institute ¶¶Montreal Heart Institute, Coordinating Center ∥∥∥Pain Centre, McGill University Health Centre, Montréal, QC ∥Department of Health Policy, Management, and Evaluation, University of Toronto ¶Institute for Clinical Evaluative Sciences ∥∥Wasser Pain Management Clinic, Mount Sinai Hospital, Toronto **Department of Anesthesia and Perioperative Medicine, University of Western Ontario †††London Health Sciences Centre, London, ON ††Calgary Chronic Pain Program, Alberta Health Sciences, Calgary §§§Multidisciplinary Chronic Pain Centre, University of Alberta, Edmonton, AB §§Pain Management Unit, Queen Elizabeth II Health Sciences Centre, Halifax, NS ##Health Sciences Centre Pain Clinic, University of Manitoba, Winnipeg, MB ***School of Nursing, Memorial University of Newfoundland, St-John's, NF ‡‡‡St-Paul's Hospital Pain Centre, Vancouver, BC, Canada.

Objectives: The Canadian STOP-PAIN Project assessed the human and economic burden of chronic pain (CP) in individuals on waitlists of Canadian multidisciplinary pain treatment facilities. This article focuses on sex differences. Objectives were to (1) determine the pain characteristics and related biopsychosocial factors that best differentiated women and men with CP; and (2) examine whether public and private costs associated with CP differed according to sex.

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Knowledge of simulated genetic effects facilitates interpretation of methodological studies. Genetic interactions for common disorders are likely numerous and weak. Using the 200 replicates of the Genetic Analysis Workshop 16 (GAW16) Problem 3 simulated data, we compared the statistical power to detect weak gene-gene interactions using a haplotype-based test in the UNPHASED software with genotypic mixed model (GMM) and additive mixed model (AMM) mixed linear regression model in SAS.

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Large genetic association studies based on hundreds of thousands of single-nucleotide polymorphisms (SNPs) are a popular option for the study of complex diseases. The evaluation of gene x gene interactions in such studies is a sensible method of capturing important genetic effects. The number of tests required to consider all pairs of SNPs, however, can lead to a computational burden, and efficient strategies to reduce the number of tests performed are desirable.

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In this summary paper, we describe the contributions included in the Multistage Design group (Group 14) at the Genetic Analysis Workshop 15, which was held during November 12-14, 2006. Our group contrasted and compared different approaches to reducing complexity in a genetic study through implementation of staged designs. Most groups used the simulated dataset (problem 3), which provided ample opportunities for evaluating various staged designs.

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Noninvasive evaluation of endothelial vascular reactivity: should the quest continue?

Can J Cardiol

October 2005

Research Centre of the Montreal Heart Institute, Department of Medicine, University of Montreal, Quebec.

Endothelial dysfunction is an early event in the continuum of the pathogenesis of atherosclerosis that persists throughout the disease process. Endothelial dysfunction may be a valuable marker or barometer of the composite effect of the various predisposing factors, even some yet unknown, on the subsequent risk of cardiovascular events. Accumulating data suggest that clinical evaluation of endothelial function may provide incremental value to current risk stratification and to the tailoring of pharmacological and nonpharmacological therapy.

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