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GRADE-Leitlinien: 9. Heraufstufen der Qualität der Evidenz

Translated title of the contribution: GRADE guidelines: 9. Rating up the quality of evidence
  • Christina Kien
  • , Gerald Gartlehner
  • , Angela Kaminski-Hartenthaler
  • , Joerg J. Meerpohl
  • , Maria Flamm
  • , Gero Langer
  • , Matthias Perleth
  • , Holger J. Schünemann
  • University for Continuing Education Krems
  • University of Freiburg
  • Martin Luther University Halle-Wittenberg
  • Abteilung Fachberatung Medizin

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

The most common reason for rating up the quality of evidence is a large effect. GRADE suggests considering rating up quality of evidence one level when methodologically rigorous observational studies show at least a two-fold reduction or increase in risk, and rating up two levels for at least a five-fold reduction or increase in risk. Systematic review authors and guideline developers may also consider rating up quality of evidence when a dose-response gradient is present, and when all plausible confounders or biases would decrease an apparent treatment effect, or would create a spurious effect when results suggest no effect. Other considerations include the rapidity of the response, the underlying trajectory of the condition and indirect evidence. Key PointsGRADE includes three criteria for rating up quality of evidence particularly applicable to observational studies.Rating up one or even two levels is possible when effects in observational studies are sufficiently large, particularly if they occur over short periods of time.A dose-response gradient, or a conclusion that plausible residual confounding would further support inferences regarding treatment effect, may also raise the quality of the evidence.

Translated title of the contributionGRADE guidelines: 9. Rating up the quality of evidence
Original languageGerman
Pages (from-to)249-255
Number of pages7
JournalZeitschrift fur Evidenz, Fortbildung und Qualitat im Gesundheitswesen
Volume107
Issue number3
DOIs
StatePublished - 2013

Keywords

  • GRADE
  • guidelines
  • large effects
  • level of evidence
  • observational studies
  • risk of bias

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