2011
DOI: 10.1016/j.jclinepi.2011.03.017
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GRADE guidelines: 7. Rating the quality of evidence—inconsistency

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Cited by 1,878 publications
(1,133 citation statements)
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“…To examine the stability of the main estimates, we conducted sensitivity analyses by including high ROB studies or imputing missing binary data under best‐ and worst‐case scenarios 28, 29. We combined OBSs with similar study methods and clinical variability 30 and calculated summary treatment effect estimates separately by study design 28, 29. We estimated inconsistency (heterogeneity) across studies using the I 2 statistic 28 and investigated sources of clinical and/or methodological variation when we suspected heterogeneity that might affect the results 31.…”
Section: Methodsmentioning
confidence: 99%
“…To examine the stability of the main estimates, we conducted sensitivity analyses by including high ROB studies or imputing missing binary data under best‐ and worst‐case scenarios 28, 29. We combined OBSs with similar study methods and clinical variability 30 and calculated summary treatment effect estimates separately by study design 28, 29. We estimated inconsistency (heterogeneity) across studies using the I 2 statistic 28 and investigated sources of clinical and/or methodological variation when we suspected heterogeneity that might affect the results 31.…”
Section: Methodsmentioning
confidence: 99%
“…Even though intuitively this criterion looks similar to the downgrading criterion "inconsistency", a number of participants found this to be a useful and important criterion that embraces the concept of complementary evidence, which entails more than just the opposite of inconsistency. That is, whereas in the GRADE approach "inconsistency" refers to heterogeneity of effect measures for a given outcome [15], "consistency across settings and study designs" means that consistent results have been obtained under a variety of conditions (study design and setting), which might increase confidence in the overall assessment unless it has to be assumed that an unmeasured confounder influenced the results in all settings in a similar way.…”
Section: Summary Of Discussion: From Quality Appraisal To Evidence Smentioning
confidence: 99%
“…By using this method, the level of evidence is assessed for the following domains: risk of bias, 16 inconsistency, 17 indirectness, 18 imprecision, 19 and publication bias. 20 …”
Section: Assessment Of Quality Of Evidence and Confi Dence In Estimatmentioning
confidence: 99%
“…The quality of pooled data for each outcome was high in the domains of inconsistency, 17 indirectness, 18 imprecision, 19 or publication bias. 20 The quality of evidence across all outcomes was assigned as moderate because of the overlap between the intervention and control groups.…”
Section: Quality Of Pooled Data For Each Outcomementioning
confidence: 99%