Many clinical investigations are intended to evaluate or demonstrate causal relationships (eg, the effect of a treatment or other intervention on patient outcomes), whether using information from well-designed randomized clinical trials, leveraging observational data with suitable methods, or combining the 2 approaches. Evaluating and communicating the degree to which a given study supports a causal conclusion can be complex, typically involving both clinical and methodological considerations, and using appropriate language to describe the relevant considerations—causal language—is critical. In 2024, a Special Communication in JAMA described a framework for causal inference and considered the implications of the framework for the use of causal language in medical journals, including JAMA and the JAMA Network journals.