T
Teresa W. Leung
Researcher at McMaster University
Publications - 5
Citations - 923
Teresa W. Leung is an academic researcher from McMaster University. The author has contributed to research in topics: Randomized controlled trial & Evidence-based practice. The author has an hindex of 5, co-authored 5 publications receiving 883 citations.
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Journal ArticleDOI
Randomized trials stopped early for benefit: a systematic review
Victor M. Montori,Philip J. Devereaux,Neill K. J. Adhikari,Neill K. J. Adhikari,Karen E. A. Burns,Karen E. A. Burns,Christoph H. Eggert,Matthias Briel,Christina Lacchetti,Teresa W. Leung,Elizabeth K. Darling,Dianne Bryant,Heiner C. Bucher,Holger J. Schünemann,Holger J. Schünemann,Maureen O. Meade,Deborah J. Cook,Patricia J. Erwin,Amit Sood,Richa Sood,Benjamin Lo,Carly A. Thompson,Qi Zhou,Edward J Mills,Gordon H. Guyatt +24 more
TL;DR: RCTs stopped early for benefit are becoming more common, often fail to adequately report relevant information about the decision to stop early, and show implausibly large treatment effects, particularly when the number of events is small, which suggests clinicians should view the results of such trials with skepticism.
Journal ArticleDOI
Telecare for Patients With Type 1 Diabetes and Inadequate Glycemic Control: A randomized controlled trial and meta-analysis
Victor M. Montori,Pamela K. Helgemoe,Gordon H. Guyatt,Diana S. Dean,Teresa W. Leung,Steven A. Smith,Yogish C. Kudva +6 more
TL;DR: Telecare is associated with small effects on glycemic control in patients with type 1 diabetes on intensive insulin therapy but with inadequate gly glucose control.
Randomized Trials Stopped Early for Benefit
Victor M. Montori,Philip J. Devereaux,Neill K. J. Adhikari,Karen E. A. Burns,Christoph H. Eggert,Matthias Briel,Christina Lacchetti,Teresa W. Leung,Elizabeth K. Darling,Dianne Bryant,Heiner C. Bucher,Holger J. Schünemann,Maureen O. Meade,Deborah J. Cook,Patricia J. Erwin,Richa Sood,Carly A. Thompson,Qi Zhou,Edward J Mills,Gordon H. Guyatt +19 more
Journal ArticleDOI
Procedures that assess inconsistency in meta-analyses can assess the likelihood of response bias in multiwave surveys
TL;DR: Researchers can use procedures that assess inconsistency in meta-analysis to evaluate the validity of a multiwave survey with a less than optimal response rate to suggest that the underlying responses did not differ across waves and thus strengthened the inference that response bias was not affecting the interpretation of the survey.
Journal Article
Can contraindications compromise evidence-based, patient-centered clinical practice?
Victor M. Montori,Teresa W. Leung,Philip J. Devereaux,Holger J. Schünemann,Holger J. Schünemann,Elie A. Akl,Amiram Gafni,Gordon H. Guyatt +7 more
TL;DR: The frequency with which the label "contraindication" dominated participants' treatment decisions despite patient preferences and weak evidence of harm was determined.