“…In the literature, it is argued that the requirement of classical RCTs, that is, patients being similar and groups being homogeneous, is incompatible with the molecular diversity and diverse therapeutic options of the future personalized medicine approaches (Klauschen et al., 2014) and that it therefore seems “[…] likely that there will be shifts in the judgment of the scientific community whether RCTs are the appropriate standard for development of drugs for diseases with high patient heterogeneity, once the big data concept has effectively entered practice” (Eichler et al., 2016). On the other hand, it is important to take into account possible limitations of RWD sources, as, for example, inconsistencies in the data (e.g., related to study duration, assessment frequency, and outcome measurements), problems concerning the integration of data between different systems, and lack of important covariates (Jiao et al., 2022; Sachdeva et al., 2021). Overall, it must be critically discussed whether the data are sufficient to address the causal question of interest (Burger et al., 2021; Campbell, 2021; Hampson et al., 2021; Levenson et al., 2021) and if real‐world evidence can be understood as “substantial evidence” in regulatory decisions (Song et al., 2021).…”