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1. Citation: Goodman, S. N., & Gerson, J. (2013). Mechanistic evidence in evidence-based medicine: A conceptual framework. Research white paper (Prepared by the Johns Hopkins University Evidence-based Practice Center under Contract No. 290-2007-10061-I). Agency for Healthcare Research and Quality.
Title: Mechanistic Evidence in Evidence-Based Medicine: A conceptual Framework
Author(s): Goodman, S. N.
Gerson, J.
Year: 2013
Journal/Publication: Agency for Healthcare Research and Quality

Background.  Virtually all current frameworks for the evaluation of the strength of evidence for an intervention’s effect focus on the quality of the design linking the intervention to a given outcome.  Knowledge of biological mechanism plays no formal role. In none of the evidence grading schemas, new statistical methodologies or other technology assessment guidelines is there a formal language and structure for how knowledge of how an intervention works.

Objectives.  The objective was to identify and pilot test a framework for the evaluation of the evidential weight of mechanistic knowledge in evidence-based medicine and technology assessment.

Methods.  Six steps were used to develop a framework for the evaluation of the evidential weight of mechanistic knowledge: (1) Focused literature review, (2) Development of draft framework, (3) Workshop with technical experts, (4) Refinement of framework, (5) Development of two case studies, (6) Pilot test of framework on case studies.

Results.  The final version of the framework for evaluation of mechanistic evidence incorporates an evaluation of the strength of evidence for the:

1. Intervention’s target effect in non human models.

2. Clinical impact of target effect in nonhuman models.

3. Predictive power of nonhuman model for an effect in humans

3t. The predictive power of the target effect model

3c. The predictive power of the clinical effect model

4. Intervention’s target effect in human disease states.

5. Clinical impact of the target effect in human disease states.

A graphic representation is included in the full report.

Conclusion.  This framework has several features combining work from a variety of fields that represent an important step forward in the rigorous assessment of such evidence.

1. It uses a definition of evidence based on inferential effect, not study design.

2. It separates evidence based on mechanistic knowledge from that based on direct evidence linking the intervention to a given clinical outcome.

3. It represents the minimum sufficient set of steps for building an indirect chain of mechanistic evidence.

4. It is adaptable and generalizable to all forms of interventions and health outcomes. It mirrors in the evidential framework the conceptual framework for translational medicine, thus linking the fields of basic science, evidence-based medicine and comparative effectiveness research.


Type of Item: Measurement Instrument

Type of KT Strategy:
Target Group: Decision Maker

Evidence Level: 2
Record Updated:2019-02-27

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