Strategies to optimize MEDLINE and EMBASE search strategies for anesthesiology systematic reviews. An experimental study

Autores

  • Enilze de Souza Nogueira Volpato Universidade Estadual Paulista https://orcid.org/0000-0002-9796-9402
  • Marluci Betini Universidade Estadual Paulista https://orcid.org/0000-0002-9796-9402
  • Maria Eduarda Puga Universidade Estadual Paulista
  • Arnav Agarwal Universidade Estadual Paulista
  • Antônio José Maria Cataneo Universidade Estadual Paulista
  • Luciane Dias de Oliveira Universidade Estadual Paulista
  • Rodrigo Bazan Universidade Estadual Paulista
  • Leandro Gobbo Braz Universidade Estadual Paulista
  • José Eduardo Guimarães Pereira Universidade Estadual Paulista
  • Regina El Dib Universidade Estadual Paulista

Palavras-chave:

Evidence-based medicine, MEDLINE, Databases, bibliographic, Medical subject headings, Anesthesiology

Resumo

BACKGROUND: A high-quality electronic search is essential for ensuring accuracy and comprehensiveness among the records retrieved when conducting systematic reviews. Therefore, we aimed to identify the most efficient method for searching in both MEDLINE (through PubMed) and EMBASE, covering search terms with variant spellings, direct and indirect orders, and associations with MeSH and EMTREE terms (or lack thereof ). DESIGN AND SETTING: Experimental study. UNESP, Brazil. METHODS: We selected and analyzed 37 search strategies that had specifically been developed for the field of anesthesiology. These search strategies were adapted in order to cover all potentially relevant search terms, with regard to variant spellings and direct and indirect orders, in the most efficient manner. RESULTS: When the strategies included variant spellings and direct and indirect orders, these adapted versions of the search strategies selected retrieved the same number of search results in MEDLINE (mean of 61.3%) and a higher number in EMBASE (mean of 63.9%) in the sample analyzed. The numbers of results retrieved through the searches analyzed here were not identical with and without associated use of MeSH and EMTREE terms. However, association of these terms from both controlled vocabularies retrieved a larger number of records than did the use of either one of them. CONCLUSIONS: In view of these results, we recommend that the search terms used should include both preferred and non-preferred terms (i.e. variant spellings and direct/indirect order of the same term) and associated MeSH and EMTREE terms, in order to develop highly-sensitive search strategies for systematic reviews.

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Biografia do Autor

Enilze de Souza Nogueira Volpato, Universidade Estadual Paulista

PhD. Doctoral Student, Postgraduate Program on Anesthesiology, Health Sciences Library, Faculdade de Medicina de Botucatu (FMB), Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil.

Marluci Betini, Universidade Estadual Paulista

PhD. Doctoral Student, Postgraduate Program on Anesthesiology, Health Sciences Library, Faculdade de Medicina de Botucatu (FMB), Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil.

Maria Eduarda Puga, Universidade Estadual Paulista

PhD. Coordinator, Coordenadoria da Rede de Bibliotecas da UNIFESP (CRBU), Universidade Federal de São Paulo (UNIFESP), São Paulo (SP), Brazil.

Arnav Agarwal, Universidade Estadual Paulista

Undergraduate Medical Student, School of Medicine, University of Toronto, Toronto, Ontario, Canada, and Department of Health Research Methods, Evidence and Impact, McMaster University, Hamilton, Ontario, Canada.

Antônio José Maria Cataneo, Universidade Estadual Paulista

MD, PhD. Full Professor, Department of Surgery and Orthopedics, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil.

Luciane Dias de Oliveira, Universidade Estadual Paulista

MSc, PhD. Associate Professor, Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, Universidade Estadual Paulista (UNESP), São José dos Campos (SP), Brazil.

Rodrigo Bazan, Universidade Estadual Paulista

MD. Assistant Professor, Department of Neurology, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil.

Leandro Gobbo Braz, Universidade Estadual Paulista

MD. Assistant Professor, Department of Anesthesiology, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil.

José Eduardo Guimarães Pereira, Universidade Estadual Paulista

MD. Doctoral Student, Postgraduate Program on Anesthesiology, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil.

Regina El Dib, Universidade Estadual Paulista

MSc, PhD. Assistant Professor, Department of Anesthesiology, Faculdade de Medicina de Botucatu, Universidade Estadual Paulista (UNESP), Botucatu (SP), Brazil; Assistant Professor, Department of Biosciences and Oral Diagnosis, Institute of Science and Technology, Universidade Estadual Paulista (UNESP), São José dos Campos (SP), Brazil; and Research Collaborator, Institute of Urology, McMaster University, Hamilton, Ontario, Canada.

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Publicado

2018-04-05

Como Citar

1.
Volpato E de SN, Betini M, Puga ME, Agarwal A, Cataneo AJM, Oliveira LD de, Bazan R, Braz LG, Pereira JEG, Dib RE. Strategies to optimize MEDLINE and EMBASE search strategies for anesthesiology systematic reviews. An experimental study. Sao Paulo Med J [Internet]. 5º de abril de 2018 [citado 14º de março de 2025];136(2):103-8. Disponível em: https://periodicosapm.emnuvens.com.br/spmj/article/view/1346

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