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Causal diagrams, the placebo effect, and the expectation effect
1Division of Epidemiology and Biostatistics, Mel and Enid Zuckerman College of Public Health, University of Arizona, Tucson, AZ, USA.
The term "placebo effect" is ambiguous and should be abandoned. Research should focus on understanding patient expectation, its causes, and effects in biomedical studies.
Area of Science:
- Biomedical Research
- Clinical Psychology
- Medical Terminology
Background:
- The term "placebo" and "placebo effect" are widely used in biomedical research.
- Existing definitions lack clarity and precision, leading to ambiguity in scientific discourse.
Purpose of the Study:
- To formally analyze definitions of placebo and the placebo effect using causal diagrams.
- To propose a clearer conceptual framework for understanding patient responses in clinical research.
Main Methods:
- Application of causal diagrams as a formal research methodology.
- Analysis of multiple definitions of placebo and the placebo effect.
Main Results:
- The term "placebo" is identified as ambiguous and redundant.
- The "placebo effect" is found to obscure the significant role of patient expectation.
- Key aspects of expectation, including causes, effects, and modifiers, warrant deeper investigation.
Conclusions:
- Abandoning the term "placebo effect" will benefit biomedical research.
- Focusing on the "expectation variable" offers a more precise and fruitful research direction.
- Future research should utilize observational cohorts nested within clinical trials to study expectation.
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