H
Holger J. Schünemann
Researcher at McMaster University
Publications - 884
Citations - 144403
Holger J. Schünemann is an academic researcher from McMaster University. The author has contributed to research in topics: Guideline & Systematic review. The author has an hindex of 141, co-authored 810 publications receiving 113169 citations. Previous affiliations of Holger J. Schünemann include McMaster University Medical Centre & University of Münster.
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GRADE: an emerging consensus on rating quality of evidence and strength of recommendations
Gordon H. Guyatt,Andrew D Oxman,Gunn Elisabeth Vist,Regina Kunz,Yngve Falck-Ytter,Pablo Alonso-Coello,Holger J. Schünemann +6 more
TL;DR: The advantages of the GRADE system are explored, which is increasingly being adopted by organisations worldwide and which is often praised for its high level of consistency.
Journal ArticleDOI
ROBINS-I: a tool for assessing risk of bias in non-randomised studies of interventions.
Jonathan A C Sterne,Miguel A. Hernán,Barnaby C Reeves,Jelena Savović,Jelena Savović,Nancy D. Berkman,Meera Viswanathan,David Henry,Douglas G. Altman,Mohammed T. Ansari,Isabelle Boutron,James R. Carpenter,An-Wen Chan,Rachel Churchill,Jonathan J Deeks,Asbjørn Hróbjartsson,Jamie J Kirkham,Peter Jüni,Yoon K. Loke,Theresa D Pigott,Craig R Ramsay,Deborah L. Regidor,Hannah R. Rothstein,Lakhbir Sandhu,Pasqualina Santaguida,Holger J. Schünemann,Beverly Shea,Ian Shrier,Peter Tugwell,Lucy Turner,Jeffrey C. Valentine,Hugh Waddington,Elizabeth Waters,George A. Wells,Penny Whiting,Julian P T Higgins +35 more
TL;DR: Risk of Bias In Non-randomised Studies - of Interventions is developed, a new tool for evaluating risk of bias in estimates of the comparative effectiveness of interventions from studies that did not use randomisation to allocate units or clusters of individuals to comparison groups.
Journal ArticleDOI
Grading quality of evidence and strength of recommendations.
David C. Atkins,Dana Best,Peter A. Briss,Martin P Eccles,Yngve Falck-Ytter,Signe Flottorp,Gordon H. Guyatt,Robin Harbour,Margaret C Haugh,David Henry,Suzanne Hill,Roman Jaeschke,Gillian Leng,Alessandro Liberati,Nicola Magrini,James Mason,Philippa Middleton,Jacek Mrukowicz,Dianne L. O'Connell,Andrew D Oxman,Bob Phillips,Holger J. Schünemann,Tessa Tan-Torres Edejer,H. Varonen,Gunn Elisabeth Vist,John W Williams,Stephanie Zaza +26 more
TL;DR: A system for grading the quality of evidence and the strength of recommendations that can be applied across a wide range of interventions and contexts is developed, and a summary of the approach from the perspective of a guideline user is presented.
Journal ArticleDOI
GRADE guidelines: 1. Introduction-GRADE evidence profiles and summary of findings tables
Gordon H. Guyatt,Andrew D Oxman,Elie A. Akl,Regina Kunz,Gunn Elisabeth Vist,Jan Brozek,Susan L Norris,Yngve Falck-Ytter,Paul Glasziou,Hans deBeer,Roman Jaeschke,David Rind,Joerg J Meerpohl,Philipp Dahm,Holger J. Schünemann +14 more
TL;DR: The GRADE process begins with asking an explicit question, including specification of all important outcomes, and provides explicit criteria for rating the quality of evidence that include study design, risk of bias, imprecision, inconsistency, indirectness, and magnitude of effect.
Journal ArticleDOI
An Official ATS/ERS/JRS/ALAT Statement: Idiopathic Pulmonary Fibrosis: Evidence-Based Guidelines for Diagnosis and Management
Ganesh Raghu,Harold R. Collard,Jim J. Egan,Fernando J. Martinez,Juergen Behr,Kevin K. Brown,Thomas V. Colby,Jean-François Cordier,Kevin R. Flaherty,Joseph A. Lasky,David A. Lynch,Jay H. Ryu,Jeffrey J. Swigris,Athol U. Wells,Julio Ancochea,Demosthenes Bouros,Carlos Roberto Ribeiro de Carvalho,Ulrich Costabel,Masahito Ebina,David M. Hansell,Takeshi Johkoh,Dong Soon Kim,Talmadge E. King,Yasuhiro Kondoh,Jeffrey L. Myers,Nestor L. Müller,Andrew G. Nicholson,Luca Richeldi,Moisés Selman,Rosalind F. Dudden,Barbara S. Griss,Shandra Protzko,Holger J. Schünemann +32 more
TL;DR: This document represents the current state of knowledge regarding idiopathic pulmonary fibrosis, and contains sections on definition and epidemiology, risk factors, diagnosis, natural history, staging and prognosis, treatment, and monitoring disease course.