Causal Benefit Model

In the field of medicine we move more and more towards precision medicine. Previously, the term of personalized medicine was used which suggested to a certain degree that a personalization might be feasible. The budget constraints have forced us to change the term to avoid unrealistic, untenable promises. In the field of cardiology scientific advances advocate to shift from a risk-based model of treatment to a causal benefit model. (Kohli-Lynch et al. 2024 Link). Long-term benefits of a treatment are more promising, if the treatment addresses the causal mechanisms at work. It is wide spread practice to deal with general risk profiles as guidelines as the precision medicine based on a causal benefit model is far more laborious since to search the causal mechanism at work requires additional testing of hypotheses. This becomes immediately clear if genetic causes enter into consideration. Nevertheless, medical research advances more and more in this direction. Genetic testing has been shown to be useful in analyzing and treating issues like sudden cardiac arrest (in survivors). We are somehow aware that genetics may play a role here, but we shall need a lot of additional studies to make the causal benefit model a feasible option for widespread applications. Targeting research in this field will offer new avenues for precision medicine in the 2020s.