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Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase

OBJECTIVE: The aim of this study was to investigate if the included references in a set of completed systematic reviews are indexed in Ovid MEDLINE and Ovid Embase, and how many references would be missed if we were to constrict our literature searches to one of these sources, or the two databases i...

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Autores principales: Heintz, Marita, Hval, Gyri, Tornes, Ragnhild Agathe, Byelyey, Nataliya, Hafstad, Elisabet, Næss, Gunn Eva, Bakkeli, Miriam
Formato: Online Artículo Texto
Lenguaje:English
Publicado: University Library System, University of Pittsburgh 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259622/
https://www.ncbi.nlm.nih.gov/pubmed/37312801
http://dx.doi.org/10.5195/jmla.2023.1482
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author Heintz, Marita
Hval, Gyri
Tornes, Ragnhild Agathe
Byelyey, Nataliya
Hafstad, Elisabet
Næss, Gunn Eva
Bakkeli, Miriam
author_facet Heintz, Marita
Hval, Gyri
Tornes, Ragnhild Agathe
Byelyey, Nataliya
Hafstad, Elisabet
Næss, Gunn Eva
Bakkeli, Miriam
author_sort Heintz, Marita
collection PubMed
description OBJECTIVE: The aim of this study was to investigate if the included references in a set of completed systematic reviews are indexed in Ovid MEDLINE and Ovid Embase, and how many references would be missed if we were to constrict our literature searches to one of these sources, or the two databases in combination. METHODS: We conducted a cross-sectional study where we searched for each included reference (n = 4,709) in 274 reviews produced by the Norwegian Institute of Public Health to find out if the references were indexed in the respective databases. The data was recorded in an Excel spreadsheet where we calculated the indexing rate. The reviews were sorted into eight categories to see if the indexing rate differs from subject to subject. RESULTS: The indexing rate in MEDLINE (86.6%) was slightly lower than in Embase (88.2%). Without the MEDLINE records in Embase, the indexing rate in Embase was 71.8%. The highest indexing rate was achieved by combining both databases (90.2%). The indexing rate was highest in the category “Physical health - treatment” (97.4%). The category “Welfare” had the lowest indexing rate (58.9%). CONCLUSION: Our data reveals that 9.8% of the references are not indexed in either database. Furthermore, in 5% of the reviews, the indexing rate was 50% or lower.
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spelling pubmed-102596222023-06-13 Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase Heintz, Marita Hval, Gyri Tornes, Ragnhild Agathe Byelyey, Nataliya Hafstad, Elisabet Næss, Gunn Eva Bakkeli, Miriam J Med Libr Assoc Original Investigation OBJECTIVE: The aim of this study was to investigate if the included references in a set of completed systematic reviews are indexed in Ovid MEDLINE and Ovid Embase, and how many references would be missed if we were to constrict our literature searches to one of these sources, or the two databases in combination. METHODS: We conducted a cross-sectional study where we searched for each included reference (n = 4,709) in 274 reviews produced by the Norwegian Institute of Public Health to find out if the references were indexed in the respective databases. The data was recorded in an Excel spreadsheet where we calculated the indexing rate. The reviews were sorted into eight categories to see if the indexing rate differs from subject to subject. RESULTS: The indexing rate in MEDLINE (86.6%) was slightly lower than in Embase (88.2%). Without the MEDLINE records in Embase, the indexing rate in Embase was 71.8%. The highest indexing rate was achieved by combining both databases (90.2%). The indexing rate was highest in the category “Physical health - treatment” (97.4%). The category “Welfare” had the lowest indexing rate (58.9%). CONCLUSION: Our data reveals that 9.8% of the references are not indexed in either database. Furthermore, in 5% of the reviews, the indexing rate was 50% or lower. University Library System, University of Pittsburgh 2023-04-21 2023-04-21 /pmc/articles/PMC10259622/ /pubmed/37312801 http://dx.doi.org/10.5195/jmla.2023.1482 Text en Copyright © 2023 Marita Heintz, Gyri Hval, Ragnhild Agathe Tomes, Nataliya Byelyey, Elisabet Hafstad, Gunn Eva Næss, Miriam Bakkeli https://creativecommons.org/licenses/by/4.0/This work is licensed under a Creative Commons Attribution 4.0 International License (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Original Investigation
Heintz, Marita
Hval, Gyri
Tornes, Ragnhild Agathe
Byelyey, Nataliya
Hafstad, Elisabet
Næss, Gunn Eva
Bakkeli, Miriam
Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase
title Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase
title_full Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase
title_fullStr Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase
title_full_unstemmed Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase
title_short Optimizing the literature search: coverage of included references in systematic reviews in Medline and Embase
title_sort optimizing the literature search: coverage of included references in systematic reviews in medline and embase
topic Original Investigation
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10259622/
https://www.ncbi.nlm.nih.gov/pubmed/37312801
http://dx.doi.org/10.5195/jmla.2023.1482
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