Now showing items 1-3 of 3

    • The GRADE approach is reproducible in assessing the quality of evidence of quantitative evidence syntheses 

      Mustafa, Reem A.; Santesso, Nancy; Brozek, Jan; Akl, Elie A.; Walter, Stephen D.; Norman, Geoff; Kulasegaram, Mahan; Christensen, Robin; Guyatt, Gordon H.; Falck Ytter, Yngve; Chang, Stephanie; Hassan Murad, Mohammad; Vist, Gunn E.; Lasserson, Toby; Gartlehner, Gerald; Shukla, Vijay; Sun, Xin; Whittington, Craig; Post, Piet N.; Lang, Eddy; Thaler, Kylie; Kunnamo, Ilkka; Alenius, Heidi; Meerpohl, Joerg J.; Alba, Ana C.; Nevis, Immaculate F.; Gentles, Stephen; Ethier, Marie Chantal; Carrasco Labra, Raúl; Khatib, Rasha; Nesrallah, Gihad; Kroft, Jamie; Selk, Amanda; Brignardello Petersen, Romina; Schünemann, Holger J. (Elsevier, 2013)
      Objective: We evaluated the inter-rater reliability (IRR) of assessing the quality of evidence (QoE) using the Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) approach. Study Design and Setting: ...
    • GRADE Evidence to Decision (EtD) frameworks for adoption, adaptation, and de novo development of trustworthy recommendations: GRADE-ADOLOPMENT 

      Schünemann, Holger J.; Wiercioch, Wojtek; Brozek, Jan; Etxeandia-Ikobaltzeta, Itziar; Mustafa, Reem A.; Manja, Veena; Brignardello Petersen, Romina; Neumann, Ignacio; Falavigna, Maicon; Alhazzani, Waleed; Santesso, Nancy; Zhang, Yuan; Meerpohl, Jörg J.; Morgan, Rebecc (Elsevier USA, 2017)
      © 2016 The Author(s) Background Guideline developers can: (1) adopt existing recommendations from others; (2) adapt existing recommendations to their own context; or (3) create recommendations de novo. Monetary and nonmonetary ...
    • Methodological survey of designed uneven randomization trials (DU-RANDOM): a protocol 

      Wu, Darong; Akl, Elie A.; Guyatt, Gordon H.; Devereaux, Philip J.; Brignardello Petersen, Romina; Prediger, Barbara; Patel, Krupesh; Patel, Namrata; Lu, Taoying; Zhang, Yuan; Falavigna, Maicon; Santesso, Nancy; Mustafa, Reem A.; Zhou, Qi; Briel, Matthias; Schünemann, Holger J. (BioMed Central Ltd., 2014)
      Background: Although even randomization (that is, approximately 1:1 randomization ratio in study arms) provides the greatest statistical power, designed uneven randomization (DUR), (for example, 1:2 or 1:3) is used to ...