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[Roaming through methodology. XXV. Outcome measures, surrogate outcomes, and intermediate measures]
1Academisch Ziekenhuis Vrije Universiteit, afd. Klinische Epidemiologie en Biostatistiek, Amsterdam. m.boers@azvu.nl
Nederlands Tijdschrift Voor Geneeskunde
|October 26, 2000
Summary
Clinical medicine aims to reduce disease burden using outcome measures. When direct outcome assessment is challenging, intermediate or surrogate outcomes are used, requiring careful evaluation for clinical relevance and applicability.
Area of Science:
- Clinical medicine
- Biostatistics
- Epidemiology
Background:
- Clinical medicine strives to reduce disease burden.
- True outcome measures in clinical research, reflecting disease burden changes, are ideal but often costly or infeasible.
- Intermediate measures are frequently used as proxies for true outcomes.
Purpose of the Study:
- To discuss the role and evaluation of intermediate and surrogate outcomes in clinical research.
- To provide a framework for assessing the applicability of clinical trial measures.
Main Methods:
- Conceptual analysis of outcome measures in clinical research.
- Discussion of the relationship between intermediate measures, surrogate outcomes, and true disease burden.
- Presentation of criteria for evaluating the applicability of clinical trial measures.
Main Results:
- Intermediate measures offer practical alternatives when direct outcome assessment is not feasible.
- Surrogate outcomes are intermediate measures with a strong, validated relationship to true outcomes.
- The applicability of any measure depends on its truthfulness, discriminative ability, and feasibility.
Conclusions:
- Accurate assessment of disease burden is central to clinical medicine.
- Intermediate and surrogate outcomes are valuable tools but require rigorous validation and careful interpretation.
- Clinicians must critically appraise the relevance and applicability of study measures to their practice.