July 25, 2025

A problem at the heart of precision medicine – are current clinical prediction models fully actionable for individuals?

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The study reveals limitations of current clinical prediction models in precision medicine, suggesting a need for causation-based improvements.

Current clinical prediction models lack actionability for individuals because they are based on association rather than causation.
These models fail to provide personalized predictions on how changing a variable influences an individual's outcome.
To enhance actionability, interventions must be integrated into prediction models to account for dynamic treatment effects.
Shifting to causation-focused models will better align clinical predictions with the goals of precision medicine.

Leighton et al. (2025) studied this question.

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The study reveals limitations of current clinical prediction models in precision medicine, suggesting a need for causation-based improvements.