Therapeutic inferences for individual patients

Area of Science:

• Clinical Epidemiology
• Evidence-Based Medicine
• Medical Decision Making

Background:

• Growing concern exists regarding the applicability of controlled research findings to individual patient care.
• Evidence-based medicine strives to bridge the gap between research and practice through improved clinical trial design and analysis.

Purpose of the Study:

• To evaluate the challenges of extrapolating clinical trial results to individual patients.
• To critically assess methodological improvements like pragmatic trials and subgroup analysis.
• To propose a principle for guiding therapeutic inferences in clinical practice.

Main Methods:

• A clinical case study is presented to illustrate extrapolation premises.
• Pragmatic randomized controlled trials and subgroup analysis are critically appraised.
• A principle for therapeutic decision-making is suggested.

Main Results:

• Extrapolating research findings to individual patients requires stringent conditions rarely met in practice.
• Probabilities relevant for treatment decisions should encompass all patient-specific factors.
• Even representative samples and subgroup analyses do not guarantee automatic applicability.

Conclusions:

• Clinicians must avoid uncritical application of research findings.
• Estimating individualized probabilities is a crucial clinical task.
• Integrating research data with non-research information is essential for optimal patient care.