G
Gordon H. Guyatt
Researcher at McMaster University
Publications - 1749
Citations - 262329
Gordon H. Guyatt is an academic researcher from McMaster University. The author has contributed to research in topics: Randomized controlled trial & Medicine. The author has an hindex of 231, co-authored 1620 publications receiving 228631 citations. Previous affiliations of Gordon H. Guyatt include Memorial Sloan Kettering Cancer Center & Cayetano Heredia University.
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Journal ArticleDOI
Inconsistent definitions for intention-to-treat in relation to missing outcome data: systematic review of the methods literature.
Mohamad Alshurafa,Matthias Briel,Matthias Briel,Elie A. Akl,Elie A. Akl,Ted Haines,Paul Moayyedi,Stephen J. Gentles,Lorena P. Rios,Chau Tran,Neera Bhatnagar,Francois Lamontagne,Stephen D. Walter,Gordon H. Guyatt +13 more
TL;DR: There is no consensus on the definition of ITT in relation to MOD, and it is suggested that both reports of randomized trials and systematic reviews separately consider and describe how they deal with participants with complete data and those with MOD.
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An index of scientific quality for health reports in the lay press
Andrew D Oxman,Gordon H. Guyatt,Deborah J. Cook,Roman Jaeschke,Nancy M. Heddle,Jana L. Keller +5 more
TL;DR: An index of scientific quality for health-related news reports and tested its reliability and sensibility, finding the index was found to be sensible with only one major problem, the need for judgment in making ratings.
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To what extent do congestive heart failure patients in sinus rhythm benefit from digoxin therapy? A systematic overview and meta-analysis.
TL;DR: Data from seven trials of high methodologic quality suggest that, on average, one out of nine patients with CHF and sinus rhythm derive a clinically important benefit from digoxin.
Journal Article
Basic statistics for clinicians: 3. Assessing the effects of treatment: measures of association.
Roman Jaeschke,Gordon H. Guyatt,Harry S. Shannon,Stephen D. Walter,Deborah J. Cook,Nancy M. Heddle +5 more
TL;DR: The calculation of measures of association are shown and their usefulness in clinical decision making is discussed and both the absolute risk reduction and the number needed to treat reflect both the baseline risk and the relative risk reduction.
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Optimal Strategies for Reporting Pain in Clinical Trials and Systematic Reviews: Recommendations from an OMERACT 12 Workshop.
Jason W. Busse,Susan J. Bartlett,Susan J. Bartlett,Maxime Dougados,Bradley C. Johnston,Bradley C. Johnston,Gordon H. Guyatt,John R. Kirwan,Kent Kwoh,Kent Kwoh,Lara J Maxwell,Andrew Moore,Jasvinder A. Singh,R. Stevens,Vibeke Strand,Maria E. Suarez-Almazor,Peter Tugwell,George A. Wells +17 more
TL;DR: Presentation of relative effects regarding pain will facilitate interpretation of treatment effects in randomized controlled trials and systematic reviews, and should be accompanied by other patient-important outcomes to facilitate interpretation.