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Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?

OBJECTIVE: The Cochrane Handbook of Systematic Reviews contains search filters to find randomized controlled trials (RCTs) in Ovid MEDLINE: one maximizing sensitivity and another balancing sensitivity and precision. These filters were originally published in 1994 and were adapted and updated in 2008...

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Autores principales: Glanville, Julie, Kotas, Eleanor, Featherstone, Robin, Dooley, Gordon
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University Library System, University of Pittsburgh 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524635/
https://www.ncbi.nlm.nih.gov/pubmed/33013212
http://dx.doi.org/10.5195/jmla.2020.912
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author Glanville, Julie
Kotas, Eleanor
Featherstone, Robin
Dooley, Gordon
author_facet Glanville, Julie
Kotas, Eleanor
Featherstone, Robin
Dooley, Gordon
author_sort Glanville, Julie
collection PubMed
description OBJECTIVE: The Cochrane Handbook of Systematic Reviews contains search filters to find randomized controlled trials (RCTs) in Ovid MEDLINE: one maximizing sensitivity and another balancing sensitivity and precision. These filters were originally published in 1994 and were adapted and updated in 2008. To determine the performance of these filters, the authors tested them and thirty-six other MEDLINE filters against a large new gold standard set of relevant records. METHODS: We identified a gold standard set of RCT reports published in 2016 from the Cochrane CENTRAL database of controlled clinical trials. We retrieved the records in Ovid MEDLINE and combined these with each RCT filter. We calculated their sensitivity, relative precision, and f-scores. RESULTS: The gold standard comprised 27,617 records. MEDLINE searches were run on July 16, 2019. The most sensitive RCT filter was Duggan et al. (sensitivity=0.99). The Cochrane sensitivity-maximizing RCT filter had a sensitivity of 0.96 but was more precise than Duggan et al. (0.14 compared to 0.04 for Duggan). The most precise RCT filters had 0.97 relative precision and 0.83 sensitivity. CONCLUSIONS: The Cochrane Ovid MEDLINE sensitivity-maximizing RCT filter can continue to be used by Cochrane reviewers and to populate CENTRAL, as it has very high sensitivity and a slightly better precision relative to more sensitive filters. The results of this study, which used a very large gold standard to compare the performance of all known RCT filters, allows searchers to make better informed decisions about which filters to use for their work.
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spelling pubmed-75246352020-10-02 Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE? Glanville, Julie Kotas, Eleanor Featherstone, Robin Dooley, Gordon J Med Libr Assoc Original Investigation OBJECTIVE: The Cochrane Handbook of Systematic Reviews contains search filters to find randomized controlled trials (RCTs) in Ovid MEDLINE: one maximizing sensitivity and another balancing sensitivity and precision. These filters were originally published in 1994 and were adapted and updated in 2008. To determine the performance of these filters, the authors tested them and thirty-six other MEDLINE filters against a large new gold standard set of relevant records. METHODS: We identified a gold standard set of RCT reports published in 2016 from the Cochrane CENTRAL database of controlled clinical trials. We retrieved the records in Ovid MEDLINE and combined these with each RCT filter. We calculated their sensitivity, relative precision, and f-scores. RESULTS: The gold standard comprised 27,617 records. MEDLINE searches were run on July 16, 2019. The most sensitive RCT filter was Duggan et al. (sensitivity=0.99). The Cochrane sensitivity-maximizing RCT filter had a sensitivity of 0.96 but was more precise than Duggan et al. (0.14 compared to 0.04 for Duggan). The most precise RCT filters had 0.97 relative precision and 0.83 sensitivity. CONCLUSIONS: The Cochrane Ovid MEDLINE sensitivity-maximizing RCT filter can continue to be used by Cochrane reviewers and to populate CENTRAL, as it has very high sensitivity and a slightly better precision relative to more sensitive filters. The results of this study, which used a very large gold standard to compare the performance of all known RCT filters, allows searchers to make better informed decisions about which filters to use for their work. University Library System, University of Pittsburgh 2020-10-01 2020-10-01 /pmc/articles/PMC7524635/ /pubmed/33013212 http://dx.doi.org/10.5195/jmla.2020.912 Text en Copyright © 2020 Julie Glanville, Eleanor Kotas, Robin Featherstone, Gordon Dooley This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Investigation
Glanville, Julie
Kotas, Eleanor
Featherstone, Robin
Dooley, Gordon
Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
title Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
title_full Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
title_fullStr Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
title_full_unstemmed Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
title_short Which are the most sensitive search filters to identify randomized controlled trials in MEDLINE?
title_sort which are the most sensitive search filters to identify randomized controlled trials in medline?
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7524635/
https://www.ncbi.nlm.nih.gov/pubmed/33013212
http://dx.doi.org/10.5195/jmla.2020.912
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