Meta-analyses: with confidence or prediction intervals?
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In meta-analyses, when data are pooled and analyzed using random effect models, it is standard to report a confidence interval (CI) around the effect estimate [1, 2, 3], as reported in several meta-analyses published in the European Journal of Epidemiology [4, 5, 6]. Nevertheless, when heterogeneity is substantial, some authors have proposed to report a prediction interval (PI) rather than a CI to have a better appreciation of the uncertainty around the effect estimate [7, 8, 9].
What is the meaning of confidence and prediction intervals? Using results from a meta-analysis demonstrating the impact of pharmacist interventions on blood pressure , we explain how to use each of these intervals.
In a recent systematic review with meta-analyses of randomized controlled trials, we showed that pharmacist interventions improve the management of major cardiovascular disease risk factors in outpatients, including hypertension, dyslipidemia, and smoking . Interventions were led by the...
KeywordsBlood Pressure Confidence Interval Diastolic Blood Pressure Usual Care Effect Estimate
Conflict of interest
There are no conflicts of interest and no specific source of funding.
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