GRADE Guidelines 28: Use of GRADE for the assessment of evidence about prognostic factors: rating certainty in identification of groups of patients with different absolute risks

Farid Foroutan, Gordon Guyatt, Victoria Zuk, Per Olav Vandvik, Ana Carolina Alba, Reem Mustafa, Robin Vernooij, Ingrid Arevalo-Rodriguez, Zachary Munn, Pavel Roshanov, Richard Riley, Stefan Schandelmaier, Ton Kuijpers, Reed Siemieniuk, Carlos Canelo-Aybar, Holger Schunemann, Alfonso Iorio

Research output: Contribution to journalArticleAcademicpeer-review

Abstract

OBJECTIVE: The objective of this study was to provide guidance on the use of the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to determine certainty in estimates of association between prognostic factors and future outcomes.

STUDY DESIGN AND SETTING: We developed our guidance through an iterative process that involved review of published systematic reviews and meta-analyses of prognostic factors, consultation with members, feedback, presentation, and discussion at the GRADE Working Group meetings.

RESULTS: For questions of prognosis, a body of observational evidence (potentially including patients enrolled in randomized controlled trials) begins as high certainty in the evidence. The five domains of GRADE for rating down certainty in the evidence, that is, risk of bias, imprecision, inconsistency, indirectness, and publication bias, as well as the domains for rating up, also apply to estimates of associations between prognostic factors and outcomes. One should determine if their ratings do not consider (noncontextualized) or consider (contextualized) the clinical context as this will may result in variable judgments on certainty of the evidence.

CONCLUSIONS: The same principles GRADE proposed for bodies of evidence addressing treatment and overall prognosis work well in assessing individual prognostic factors, both in noncontextualized and contextualized settings.

Original languageEnglish
Pages (from-to)62-70
Number of pages9
JournalJournal of Clinical Epidemiology
Volume121
DOIs
Publication statusPublished - May 2020
Externally publishedYes

Keywords

  • Forecasting
  • GRADE Approach/standards
  • Humans
  • Meta-Analysis as Topic
  • Observational Studies as Topic
  • Probability
  • Prognosis
  • Publication Bias
  • Randomized Controlled Trials as Topic
  • Systematic Reviews as Topic
  • Treatment Outcome
  • Guideline
  • Subgroup
  • Systematic review
  • Certainty in evidence
  • Prognostic factor
  • GRADE

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