Cardiovascular diseases are the leading cause of deathand disability, both globallyand in Latin America and the Caribbean (LAC).1,2 These trends can be improved through different strategies, modifying the distribution ofrisk factorsin the populationas a whole, i.e., a population-based prevention approach (e.g., sugar taxes), and through an overall risk-based preventionapproach.3,4 It has been argued that the latteris cost effective andmaximizesresources allocation (e.g., treatment) to those who most need them with minimal harm.5,6 However,risk-based prevention needs accurate prognostictools to identify the target population. There is some evidence that available cardiovascular risk prediction equations do not perform well in LAC,7 where cardiovascular key risk factorssuch as diabetesseem to have different strength of association with cardiovascular events.8 Therefore, it becomes necessary to identify which available equationshave undergone local scrutinyand whether new localtoolshave been developed. Even though there have been efforts to summarisecardiovascular prognosticmodels,9,10 they did not include studies written in Spanish or search engines with large LAC influence, hence reporting no results from LAC.10 Therefore, whether available cardiovascularprognostic modelshave been tested or a new model has been derived in LAC, remainslargely unknown.Consequently, we conducted a systematic review to summarise and critically appraise studies evaluating or generating prognosticmodels for cardiovascular outcomes conducted in LAC. In so doing,we provide a comprehensive list of available prognostic models, their strengths and limitations, as well as recommendations and identification of research gapsto be addressed toimprove cardiovascular prevention in LAC.