The identification of specific patient subpopulations at increased risk for adverse drug reactions can help minimise harms from medicines.

This study identified clinically relevant signals of at-risk groups through the incorporation of risk factor considerations into statistical signal detection in adverse event reports.

The findings from this study may be a step on the way towards increased precision in pharmacovigilance and may inspire future research in the area.