Understanding decision making for preventive interventions: The unruptured intracranial aneurysm example

Area of Science:

• Medical Decision Making
• Clinical Uncertainty
• Preventive Interventions

Background:

• Asymptomatic patients face uncertain decisions regarding preventive interventions like treating incidental intracranial aneurysms.
• Risk of over-treatment is a significant concern in managing asymptomatic conditions.
• Quality-adjusted life-years survival is proposed as an alternative to traditional risk-benefit analysis.

Purpose of the Study:

• To review challenges of over-diagnosis and over-treatment in clinical decision-making.
• To compare risk-based and outcome-based approaches derived from observational data.
• To propose a more pragmatic approach to clinical decision-making.

Main Methods:

• Review of prognostic studies to address clinical uncertainty.
• Examination of mathematical transformations in outcome-based and risk-based approaches.
• Comparison of assumptions underlying different decision-making models.

Main Results:

• Both risk-based and outcome-based models require strong assumptions: ignorability of treatment assignment and dominance of time-to-event data.
• The outcome-based approach additionally assumes fatality after a poor outcome.
• These theoretical assumptions are seldom met in real-world clinical practice.

Conclusions:

• Clinical decisions based on observational data often rely on unrealistic assumptions.
• Pragmatic clinical trials are recommended to guide clinical practice effectively.
• A shift towards evidence-based decision-making through trials is crucial.