Now showing items 1-3 of 3

    • Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis 

      Brignardello Petersen, Romina; Bonner, Ashley; Alexander, Paul E.; Siemieniuk, Reed A. C.; Furukawa, Toshi A.; Rochwerg, Bram; Hazlewood, Glen S.; Alhazzani, Waleed; Mustafa, Reem A.; Murad, M. Hassan; Puhan, Milo A.; Schuenemann, Holger J.; Guyatt, Gordon H. (Elsevier Science INC, 2018)
      This article describes conceptual advances of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) working group guidance to evaluate the certainty of evidence (confidence in evidence, quality ...
    • Advances in the GRADE approach to rate the certainty in estimates from a network meta-analysis 

      Brignardello Petersen, Romina; Bonner, Ashley; Alexander, Paul; Siemieniuk, Reed; Furukawa, Toshi; Rochwerg, Bram; Hazlewood, Glen; Alhazzani, Waleed; Mustafa, Reem; Murad, M. Hassan; Puhan, Milo; Sch€unemann, Holger; Guyatt, Gordon H. (Elsevier, 2018)
      This article describes conceptual advances of the Grading of Recommendations Assessment, Development, and Evaluation (GRADE) working group guidance to evaluate the certainty of evidence (confidence in evidence, quality of ...
    • 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 ...