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Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases

This project aims to assess the utility of bibliographic databases beyond the three major ones (MEDLINE, EMBASE and Cochrane CENTRAL) for finding controlled trials of complementary and alternative medicine (CAM). Fifteen databases were searched to identify controlled clinical trials (CCTs) of CAM no...

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Autores principales: Cogo, Elise, Sampson, Margaret, Ajiferuke, Isola, Manheimer, Eric, Campbell, Kaitryn, Daniel, Raymond, Moher, David
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Hindawi Publishing Corporation 2011
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3137728/
https://www.ncbi.nlm.nih.gov/pubmed/19468052
http://dx.doi.org/10.1093/ecam/nep038
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author Cogo, Elise
Sampson, Margaret
Ajiferuke, Isola
Manheimer, Eric
Campbell, Kaitryn
Daniel, Raymond
Moher, David
author_facet Cogo, Elise
Sampson, Margaret
Ajiferuke, Isola
Manheimer, Eric
Campbell, Kaitryn
Daniel, Raymond
Moher, David
author_sort Cogo, Elise
collection PubMed
description This project aims to assess the utility of bibliographic databases beyond the three major ones (MEDLINE, EMBASE and Cochrane CENTRAL) for finding controlled trials of complementary and alternative medicine (CAM). Fifteen databases were searched to identify controlled clinical trials (CCTs) of CAM not also indexed in MEDLINE. Searches were conducted in May 2006 using the revised Cochrane highly sensitive search strategy (HSSS) and the PubMed CAM Subset. Yield of CAM trials per 100 records was determined, and databases were compared over a standardized period (2005). The Acudoc2 RCT, Acubriefs, Index to Chiropractic Literature (ICL) and Hom-Inform databases had the highest concentrations of non-MEDLINE records, with more than 100 non-MEDLINE records per 500. Other productive databases had ratios between 500 and 1500 records to 100 non-MEDLINE records—these were AMED, MANTIS, PsycINFO, CINAHL, Global Health and Alt HealthWatch. Five databases were found to be unproductive: AGRICOLA, CAIRSS, Datadiwan, Herb Research Foundation and IBIDS. Acudoc2 RCT yielded 100 CAM trials in the most recent 100 records screened. Acubriefs, AMED, Hom-Inform, MANTIS, PsycINFO and CINAHL had more than 25 CAM trials per 100 records screened. Global Health, ICL and Alt HealthWatch were below 25 in yield. There were 255 non-MEDLINE trials from eight databases in 2005, with only 10% indexed in more than one database. Yield varied greatly between databases; the most productive databases from both sampling methods were Acubriefs, Acudoc2 RCT, AMED and CINAHL. Low overlap between databases indicates comprehensive CAM literature searches will require multiple databases.
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spelling pubmed-31377282011-07-26 Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases Cogo, Elise Sampson, Margaret Ajiferuke, Isola Manheimer, Eric Campbell, Kaitryn Daniel, Raymond Moher, David Evid Based Complement Alternat Med Original Article This project aims to assess the utility of bibliographic databases beyond the three major ones (MEDLINE, EMBASE and Cochrane CENTRAL) for finding controlled trials of complementary and alternative medicine (CAM). Fifteen databases were searched to identify controlled clinical trials (CCTs) of CAM not also indexed in MEDLINE. Searches were conducted in May 2006 using the revised Cochrane highly sensitive search strategy (HSSS) and the PubMed CAM Subset. Yield of CAM trials per 100 records was determined, and databases were compared over a standardized period (2005). The Acudoc2 RCT, Acubriefs, Index to Chiropractic Literature (ICL) and Hom-Inform databases had the highest concentrations of non-MEDLINE records, with more than 100 non-MEDLINE records per 500. Other productive databases had ratios between 500 and 1500 records to 100 non-MEDLINE records—these were AMED, MANTIS, PsycINFO, CINAHL, Global Health and Alt HealthWatch. Five databases were found to be unproductive: AGRICOLA, CAIRSS, Datadiwan, Herb Research Foundation and IBIDS. Acudoc2 RCT yielded 100 CAM trials in the most recent 100 records screened. Acubriefs, AMED, Hom-Inform, MANTIS, PsycINFO and CINAHL had more than 25 CAM trials per 100 records screened. Global Health, ICL and Alt HealthWatch were below 25 in yield. There were 255 non-MEDLINE trials from eight databases in 2005, with only 10% indexed in more than one database. Yield varied greatly between databases; the most productive databases from both sampling methods were Acubriefs, Acudoc2 RCT, AMED and CINAHL. Low overlap between databases indicates comprehensive CAM literature searches will require multiple databases. Hindawi Publishing Corporation 2011 2011-06-23 /pmc/articles/PMC3137728/ /pubmed/19468052 http://dx.doi.org/10.1093/ecam/nep038 Text en Copyright © 2011 Elise Cogo et al. https://creativecommons.org/licenses/by/3.0/ This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Cogo, Elise
Sampson, Margaret
Ajiferuke, Isola
Manheimer, Eric
Campbell, Kaitryn
Daniel, Raymond
Moher, David
Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases
title Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases
title_full Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases
title_fullStr Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases
title_full_unstemmed Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases
title_short Searching for Controlled Trials of Complementary and Alternative Medicine: A Comparison of 15 Databases
title_sort searching for controlled trials of complementary and alternative medicine: a comparison of 15 databases
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3137728/
https://www.ncbi.nlm.nih.gov/pubmed/19468052
http://dx.doi.org/10.1093/ecam/nep038
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