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Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise

Every day there is criticism about lack of evidence on traditional, complementary, and integrative medicine (TCIM). But is this narrative evidence-based? Are we really missing research about TCIM? Or are we just not looking correctly at the evidence? Evidence maps are a useful method with the dual f...

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Autores principales: Schveitzer, Mariana Cabral, Abdala, Carmen Verônica Mendes, Portella, Caio Fabio Schlechta, Ghelman, Ricardo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Organización Panamericana de la Salud 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064289/
https://www.ncbi.nlm.nih.gov/pubmed/33907557
http://dx.doi.org/10.26633/RPSP.2021.48
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author Schveitzer, Mariana Cabral
Abdala, Carmen Verônica Mendes
Portella, Caio Fabio Schlechta
Ghelman, Ricardo
author_facet Schveitzer, Mariana Cabral
Abdala, Carmen Verônica Mendes
Portella, Caio Fabio Schlechta
Ghelman, Ricardo
author_sort Schveitzer, Mariana Cabral
collection PubMed
description Every day there is criticism about lack of evidence on traditional, complementary, and integrative medicine (TCIM). But is this narrative evidence-based? Are we really missing research about TCIM? Or are we just not looking correctly at the evidence? Evidence maps are a useful method with the dual function of synthesizing available evidence on a specific topic and identifying knowledge gaps. This article presents a six-step evidence map methodology along with recently published TCIM evidence maps, including one related to COVID-19. TCIM evidence maps are useful instruments to inform decision-making for policymakers, health practitioners, and patients.
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spelling pubmed-80642892021-04-26 Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise Schveitzer, Mariana Cabral Abdala, Carmen Verônica Mendes Portella, Caio Fabio Schlechta Ghelman, Ricardo Rev Panam Salud Publica Short Communication Every day there is criticism about lack of evidence on traditional, complementary, and integrative medicine (TCIM). But is this narrative evidence-based? Are we really missing research about TCIM? Or are we just not looking correctly at the evidence? Evidence maps are a useful method with the dual function of synthesizing available evidence on a specific topic and identifying knowledge gaps. This article presents a six-step evidence map methodology along with recently published TCIM evidence maps, including one related to COVID-19. TCIM evidence maps are useful instruments to inform decision-making for policymakers, health practitioners, and patients. Organización Panamericana de la Salud 2021-04-23 /pmc/articles/PMC8064289/ /pubmed/33907557 http://dx.doi.org/10.26633/RPSP.2021.48 Text en https://creativecommons.org/licenses/by/2.5/This is an open access article distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs 3.0 IGO License, which permits use, distribution, and reproduction in any medium, provided the original work is properly cited. No modifications or commercial use of this article are permitted. In any reproduction of this article there should not be any suggestion that PAHO or this article endorse any specific organization or products. The use of the PAHO logo is not permitted. This notice should be preserved along with the article’s original URL. Open access logo and text by PLoS, under the Creative Commons Attribution-Share Alike 3.0 Unported license.
spellingShingle Short Communication
Schveitzer, Mariana Cabral
Abdala, Carmen Verônica Mendes
Portella, Caio Fabio Schlechta
Ghelman, Ricardo
Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
title Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
title_full Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
title_fullStr Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
title_full_unstemmed Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
title_short Traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
title_sort traditional, complementary, and integrative medicine evidence map: a methodology to an overflowing field of data and noise
topic Short Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8064289/
https://www.ncbi.nlm.nih.gov/pubmed/33907557
http://dx.doi.org/10.26633/RPSP.2021.48
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