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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...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
University Library System, University of Pittsburgh
2023
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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. |
format | Online Article Text |
id | pubmed-10259622 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | University Library System, University of Pittsburgh |
record_format | MEDLINE/PubMed |
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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