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Key message Systematic reviews and meta-analyses examine various existing research results. Such studies are conducted according to a technically determined algorithm to minimize errors. It is particularly important to understand basic analytical methods such as the fixed-effect and random-effects models and apply appropriate statistical techniques to verify interstudy heterogeneity. A design that eliminates possible bias from the early stages of the research in a step-by-step manner is required whenever possible.

Is correcting exposure misclassification bias an additional option in meta-analyses?