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The NICE search filters for treating and managing COVID-19: validation in MEDLINE and Embase (Ovid).
Levay, Paul; Finnegan, Amy.
Afiliação
  • Levay P; paul.levay@nice.org.uk Senior Information Specialist, National Institute for Health and Care Excellence, Manchester, United Kingdom.
  • Finnegan A; amy.finnegan@nice.org.uk Senior Information Specialist, National Institute for Health and Care Excellence, Manchester, United Kingdom.
J Med Libr Assoc ; 112(3): 225-237, 2024 Jul 01.
Article em En | MEDLINE | ID: mdl-39308917
ABSTRACT

Objective:

In this paper we report how the United Kingdom's National Institute for Health and Care Excellence (NICE) search filters for treating and managing COVID-19 were validated for use in MEDLINE (Ovid) and Embase (Ovid). The objective was to achieve at least 98.9% for recall and 64% for precision.

Methods:

We did two tests of recall to finalize the draft search filters. We updated the data from an earlier peer-reviewed publication for the first recall test. For the second test, we collated a set of systematic reviews from Epistemonikos COVID-19 L.OVE and extracted their primary studies. We calculated precision by screening all the results retrieved by the draft search filters from a targeted sample covering 2020-23. We developed a gold-standard set to validate the search filter by using all articles available from the "Treatment and Management" subject filter in the Cochrane COVID-19 Study Register.

Results:

In the first recall test, both filters had 99.5% recall. In the second test, recall was 99.7% and 99.8% in MEDLINE and Embase respectively. Precision was 91.1% in a deduplicated sample of records. In validation, we found the MEDLINE filter had recall of 99.86% of the 14,625 records in the gold-standard set. The Embase filter had 99.88% recall of 19,371 records.

Conclusion:

We have validated search filters to identify records on treating and managing COVID-19. The filters may require subsequent updates, if new SARS-CoV-2 variants of concern or interest are discussed in future literature.
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Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MEDLINE / Ferramenta de Busca / SARS-CoV-2 / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Med Libr Assoc Assunto da revista: BIBLIOTECONOMIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido

Texto completo: 1 Coleções: 01-internacional Base de dados: MEDLINE Assunto principal: MEDLINE / Ferramenta de Busca / SARS-CoV-2 / COVID-19 Limite: Humans País/Região como assunto: Europa Idioma: En Revista: J Med Libr Assoc Assunto da revista: BIBLIOTECONOMIA Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Reino Unido