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Causal diagrams, the placebo effect, and the expectation effect
Using causal diagrams, a formal research methodology, we analyzed several definitions of placebo and the placebo effect. We conclude that placebo is an ambiguous, redundant term and that the so-called placebo effect conceals far more interesting effects that are attributed to the patient’s expectati...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Dove Medical Press
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790888/ https://www.ncbi.nlm.nih.gov/pubmed/24101881 http://dx.doi.org/10.2147/IJGM.S52209 |
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author | Shahar, Eyal Shahar, Doron J |
author_facet | Shahar, Eyal Shahar, Doron J |
author_sort | Shahar, Eyal |
collection | PubMed |
description | Using causal diagrams, a formal research methodology, we analyzed several definitions of placebo and the placebo effect. We conclude that placebo is an ambiguous, redundant term and that the so-called placebo effect conceals far more interesting effects that are attributed to the patient’s expectation. Biomedical research will benefit from abandoning the term placebo effect and focusing instead on a deeper understanding of the expectation variable, including its causes, effects, and effect modifiers. This avenue of research should be pursued by observational cohorts that are nested within clinical trials. |
format | Online Article Text |
id | pubmed-3790888 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2013 |
publisher | Dove Medical Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-37908882013-10-07 Causal diagrams, the placebo effect, and the expectation effect Shahar, Eyal Shahar, Doron J Int J Gen Med Methodology Using causal diagrams, a formal research methodology, we analyzed several definitions of placebo and the placebo effect. We conclude that placebo is an ambiguous, redundant term and that the so-called placebo effect conceals far more interesting effects that are attributed to the patient’s expectation. Biomedical research will benefit from abandoning the term placebo effect and focusing instead on a deeper understanding of the expectation variable, including its causes, effects, and effect modifiers. This avenue of research should be pursued by observational cohorts that are nested within clinical trials. Dove Medical Press 2013-09-27 /pmc/articles/PMC3790888/ /pubmed/24101881 http://dx.doi.org/10.2147/IJGM.S52209 Text en © 2013 Shahar and Shahar. This work is published by Dove Medical Press Limited, and licensed under Creative Commons Attribution – Non Commercial (unported, v3.0) License The full terms of the License are available at http://creativecommons.org/licenses/by-nc/3.0/. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed. |
spellingShingle | Methodology Shahar, Eyal Shahar, Doron J Causal diagrams, the placebo effect, and the expectation effect |
title | Causal diagrams, the placebo effect, and the expectation effect |
title_full | Causal diagrams, the placebo effect, and the expectation effect |
title_fullStr | Causal diagrams, the placebo effect, and the expectation effect |
title_full_unstemmed | Causal diagrams, the placebo effect, and the expectation effect |
title_short | Causal diagrams, the placebo effect, and the expectation effect |
title_sort | causal diagrams, the placebo effect, and the expectation effect |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3790888/ https://www.ncbi.nlm.nih.gov/pubmed/24101881 http://dx.doi.org/10.2147/IJGM.S52209 |
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