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Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach
BACKGROUND: Systematic literature screening is a key component in systematic reviews. However, this approach is resource intensive as generally two persons independently of each other (double screening) screen a vast number of search results. To develop approaches for increasing efficiency, we teste...
Autores principales: | , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500815/ https://www.ncbi.nlm.nih.gov/pubmed/37705060 http://dx.doi.org/10.1186/s13643-023-02334-x |
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author | Waffenschmidt, Siw Sieben, Wiebke Jakubeit, Thomas Knelangen, Marco Overesch, Inga Bühn, Stefanie Pieper, Dawid Skoetz, Nicole Hausner, Elke |
author_facet | Waffenschmidt, Siw Sieben, Wiebke Jakubeit, Thomas Knelangen, Marco Overesch, Inga Bühn, Stefanie Pieper, Dawid Skoetz, Nicole Hausner, Elke |
author_sort | Waffenschmidt, Siw |
collection | PubMed |
description | BACKGROUND: Systematic literature screening is a key component in systematic reviews. However, this approach is resource intensive as generally two persons independently of each other (double screening) screen a vast number of search results. To develop approaches for increasing efficiency, we tested the use of text mining to prioritize search results as well as the involvement of only one person (single screening) in the study selection process. METHOD: Our study is based on health technology assessments (HTAs) of drug and non-drug interventions. Using a sample size calculation, we consecutively included 11 searches resulting in 33 study selection processes. Of the three screeners for each search, two used screening tools with prioritization (Rayyan, EPPI Reviewer) and one a tool without prioritization. For each prioritization tool, we investigated the proportion of citations classified as relevant at three cut-offs or STOP criteria (after screening 25%, 50% and 75% of the citation set). For each STOP criterion, we measured sensitivity (number of correctly identified relevant studies divided by the total number of relevant studies in the study pool). In addition, we determined the number of relevant studies identified per single screening round and investigated whether missed studies were relevant to the HTA conclusion. RESULTS: Overall, EPPI Reviewer performed better than Rayyan and identified the vast majority (88%, Rayyan 66%) of relevant citations after screening half of the citation set. As long as additional information sources were screened, it was sufficient to apply a single-screening approach to identify all studies relevant to the HTA conclusion. Although many relevant publications (n = 63) and studies (n = 29) were incorrectly excluded, ultimately only 5 studies could not be identified at all in 2 of the 11 searches (1x 1 study, 1x 4 studies). However, their omission did not change the overall conclusion in any HTA. CONCLUSIONS: EPPI Reviewer helped to identify relevant citations earlier in the screening process than Rayyan. Single screening would have been sufficient to identify all studies relevant to the HTA conclusion. However, this requires screening of further information sources. It also needs to be considered that the credibility of an HTA may be questioned if studies are missing, even if they are not relevant to the HTA conclusion. |
format | Online Article Text |
id | pubmed-10500815 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-105008152023-09-15 Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach Waffenschmidt, Siw Sieben, Wiebke Jakubeit, Thomas Knelangen, Marco Overesch, Inga Bühn, Stefanie Pieper, Dawid Skoetz, Nicole Hausner, Elke Syst Rev Research BACKGROUND: Systematic literature screening is a key component in systematic reviews. However, this approach is resource intensive as generally two persons independently of each other (double screening) screen a vast number of search results. To develop approaches for increasing efficiency, we tested the use of text mining to prioritize search results as well as the involvement of only one person (single screening) in the study selection process. METHOD: Our study is based on health technology assessments (HTAs) of drug and non-drug interventions. Using a sample size calculation, we consecutively included 11 searches resulting in 33 study selection processes. Of the three screeners for each search, two used screening tools with prioritization (Rayyan, EPPI Reviewer) and one a tool without prioritization. For each prioritization tool, we investigated the proportion of citations classified as relevant at three cut-offs or STOP criteria (after screening 25%, 50% and 75% of the citation set). For each STOP criterion, we measured sensitivity (number of correctly identified relevant studies divided by the total number of relevant studies in the study pool). In addition, we determined the number of relevant studies identified per single screening round and investigated whether missed studies were relevant to the HTA conclusion. RESULTS: Overall, EPPI Reviewer performed better than Rayyan and identified the vast majority (88%, Rayyan 66%) of relevant citations after screening half of the citation set. As long as additional information sources were screened, it was sufficient to apply a single-screening approach to identify all studies relevant to the HTA conclusion. Although many relevant publications (n = 63) and studies (n = 29) were incorrectly excluded, ultimately only 5 studies could not be identified at all in 2 of the 11 searches (1x 1 study, 1x 4 studies). However, their omission did not change the overall conclusion in any HTA. CONCLUSIONS: EPPI Reviewer helped to identify relevant citations earlier in the screening process than Rayyan. Single screening would have been sufficient to identify all studies relevant to the HTA conclusion. However, this requires screening of further information sources. It also needs to be considered that the credibility of an HTA may be questioned if studies are missing, even if they are not relevant to the HTA conclusion. BioMed Central 2023-09-14 /pmc/articles/PMC10500815/ /pubmed/37705060 http://dx.doi.org/10.1186/s13643-023-02334-x Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Research Waffenschmidt, Siw Sieben, Wiebke Jakubeit, Thomas Knelangen, Marco Overesch, Inga Bühn, Stefanie Pieper, Dawid Skoetz, Nicole Hausner, Elke Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
title | Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
title_full | Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
title_fullStr | Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
title_full_unstemmed | Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
title_short | Increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
title_sort | increasing the efficiency of study selection for systematic reviews using prioritization tools and a single-screening approach |
topic | Research |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10500815/ https://www.ncbi.nlm.nih.gov/pubmed/37705060 http://dx.doi.org/10.1186/s13643-023-02334-x |
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