Bardach AE, Alcaraz AO, Ciapponi A, et al. – Via performing a systematic review of mathematical models, researchers determined the disease burden of alcohol consumption globally, and evaluated the cost-effectiveness of targeted public health interventions to address this burden. Eligible mathematical models included those that explored disease burden (main metrics being attributable deaths, disability-adjusted life years, quality-adjusted life years) or economic evaluations of health interventions or policies, based on models including the aforementioned outcomes. Furthermore, models were classified into broad families based on their common central methodological approach. Of the 4,295 reports identified, 63 were included for analysis, and were categorized in 3 main model families: 1) state transition (ie, Markov) models, 2) life table-based models, and 3) attributable fraction-based models. Most studies pertained to the latter one (n = 29, 48.3%). Of note, a few miscellaneous models could not be framed into these families. The researchers concluded that their findings may be useful for future researchers and decision-makers planning to perform studies on alcohol-related disease burden or cost-effectiveness.