Toobaie A, et al. - As data from low- and middle-income countries (LMICs) are not robust, most disease burden estimates and related resource allocation choices are based on historic Northern demographics. Researchers searched nine online databases for studies reporting incidence and prevalence data on surgically correctible congenital anomalies in LMICs between 2006 and 2017 and identified 10,128 relevant articles. They extracted 98 for full-text review and included 41, representing 21 LMICs and 18 conditions. Analysis revealed the existence of marked discrepancies between reported epidemiological data in LMICs and high-income country (HIC) literature, in part owing to the varying quality of data collection in LMICs. This emphasizes the necessity for robust population-based surveys to accurately assess the burden of surgically correctable congenital anomalies in LMICs.