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GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy.

Publication ,  Journal Article
Schünemann, HJ; Mustafa, RA; Brozek, J; Steingart, KR; Leeflang, M; Murad, MH; Bossuyt, P; Glasziou, P; Jaeschke, R; Lange, S; Meerpohl, J ...
Published in: J Clin Epidemiol
June 2020

OBJECTIVES: This article provides updated GRADE guidance about how authors of systematic reviews and health technology assessments and guideline developers can assess the results and the certainty of evidence (also known as quality of the evidence or confidence in the estimates) of a body of evidence addressing test accuracy (TA). STUDY DESIGN AND SETTING: We present an overview of the GRADE approach and guidance for rating certainty in TA in clinical and public health and review the presentation of results of a body of evidence regarding tests. Part 1 of the two parts in this 21st guidance article about how to apply GRADE focuses on understanding study design issues in test accuracy, provide an overview of the domains, and describe risk of bias and indirectness specifically. RESULTS: Supplemented by practical examples, we describe how raters of the evidence using GRADE can evaluate study designs focusing on tests and how they apply the GRADE domains risk of bias and indirectness to a body of evidence of TA studies. CONCLUSION: Rating the certainty of a body of evidence using GRADE in Cochrane and other reviews and World Health Organization and other guidelines dealing with in TA studies helped refining our approach. The resulting guidance will help applying GRADE successfully for questions and recommendations focusing on tests.

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Published In

J Clin Epidemiol

DOI

EISSN

1878-5921

Publication Date

June 2020

Volume

122

Start / End Page

129 / 141

Location

United States

Related Subject Headings

  • Research Design
  • Publication Bias
  • Humans
  • Guidelines as Topic
  • GRADE Approach
  • Epidemiology
  • Data Accuracy
  • Biomedical Research
  • 4202 Epidemiology
  • 11 Medical and Health Sciences
 

Citation

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Schünemann, H. J., Mustafa, R. A., Brozek, J., Steingart, K. R., Leeflang, M., Murad, M. H., … GRADE Working Group. (2020). GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy. J Clin Epidemiol, 122, 129–141. https://doi.org/10.1016/j.jclinepi.2019.12.020
Schünemann, Holger J., Reem A. Mustafa, Jan Brozek, Karen R. Steingart, Mariska Leeflang, Mohammad Hassan Murad, Patrick Bossuyt, et al. “GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy.J Clin Epidemiol 122 (June 2020): 129–41. https://doi.org/10.1016/j.jclinepi.2019.12.020.
Schünemann HJ, Mustafa RA, Brozek J, Steingart KR, Leeflang M, Murad MH, et al. GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy. J Clin Epidemiol. 2020 Jun;122:129–41.
Schünemann, Holger J., et al. “GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy.J Clin Epidemiol, vol. 122, June 2020, pp. 129–41. Pubmed, doi:10.1016/j.jclinepi.2019.12.020.
Schünemann HJ, Mustafa RA, Brozek J, Steingart KR, Leeflang M, Murad MH, Bossuyt P, Glasziou P, Jaeschke R, Lange S, Meerpohl J, Langendam M, Hultcrantz M, Vist GE, Akl EA, Helfand M, Santesso N, Hooft L, Scholten R, Rosen M, Rutjes A, Crowther M, Muti P, Raatz H, Ansari MT, Williams J, Kunz R, Harris J, Rodriguez IA, Kohli M, Guyatt GH, GRADE Working Group. GRADE guidelines: 21 part 1. Study design, risk of bias, and indirectness in rating the certainty across a body of evidence for test accuracy. J Clin Epidemiol. 2020 Jun;122:129–141.
Journal cover image

Published In

J Clin Epidemiol

DOI

EISSN

1878-5921

Publication Date

June 2020

Volume

122

Start / End Page

129 / 141

Location

United States

Related Subject Headings

  • Research Design
  • Publication Bias
  • Humans
  • Guidelines as Topic
  • GRADE Approach
  • Epidemiology
  • Data Accuracy
  • Biomedical Research
  • 4202 Epidemiology
  • 11 Medical and Health Sciences