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Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis
Systematic reviews and meta-analysis are the cornerstones of evidence-based decision making and priority setting. However, traditional systematic reviews are time and labour intensive, limiting their feasibility to comprehensively evaluate the latest evidence in research-intensive areas. Recent deve...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Portland Press Ltd.
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220429/ https://www.ncbi.nlm.nih.gov/pubmed/37219941 http://dx.doi.org/10.1042/CS20220494 |
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author | Hair, Kaitlyn Wilson, Emma Wong, Charis Tsang, Anthony Macleod, Malcolm Bannach-Brown, Alexandra |
author_facet | Hair, Kaitlyn Wilson, Emma Wong, Charis Tsang, Anthony Macleod, Malcolm Bannach-Brown, Alexandra |
author_sort | Hair, Kaitlyn |
collection | PubMed |
description | Systematic reviews and meta-analysis are the cornerstones of evidence-based decision making and priority setting. However, traditional systematic reviews are time and labour intensive, limiting their feasibility to comprehensively evaluate the latest evidence in research-intensive areas. Recent developments in automation, machine learning and systematic review technologies have enabled efficiency gains. Building upon these advances, we developed Systematic Online Living Evidence Summaries (SOLES) to accelerate evidence synthesis. In this approach, we integrate automated processes to continuously gather, synthesise and summarise all existing evidence from a research domain, and report the resulting current curated content as interrogatable databases via interactive web applications. SOLES can benefit various stakeholders by (i) providing a systematic overview of current evidence to identify knowledge gaps, (ii) providing an accelerated starting point for a more detailed systematic review, and (iii) facilitating collaboration and coordination in evidence synthesis. |
format | Online Article Text |
id | pubmed-10220429 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Portland Press Ltd. |
record_format | MEDLINE/PubMed |
spelling | pubmed-102204292023-05-28 Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis Hair, Kaitlyn Wilson, Emma Wong, Charis Tsang, Anthony Macleod, Malcolm Bannach-Brown, Alexandra Clin Sci (Lond) Translational Science Systematic reviews and meta-analysis are the cornerstones of evidence-based decision making and priority setting. However, traditional systematic reviews are time and labour intensive, limiting their feasibility to comprehensively evaluate the latest evidence in research-intensive areas. Recent developments in automation, machine learning and systematic review technologies have enabled efficiency gains. Building upon these advances, we developed Systematic Online Living Evidence Summaries (SOLES) to accelerate evidence synthesis. In this approach, we integrate automated processes to continuously gather, synthesise and summarise all existing evidence from a research domain, and report the resulting current curated content as interrogatable databases via interactive web applications. SOLES can benefit various stakeholders by (i) providing a systematic overview of current evidence to identify knowledge gaps, (ii) providing an accelerated starting point for a more detailed systematic review, and (iii) facilitating collaboration and coordination in evidence synthesis. Portland Press Ltd. 2023-05 2023-05-23 /pmc/articles/PMC10220429/ /pubmed/37219941 http://dx.doi.org/10.1042/CS20220494 Text en © 2023 The Author(s). https://creativecommons.org/licenses/by/4.0/This is an open access article published by Portland Press Limited on behalf of the Biochemical Society and distributed under the Creative Commons Attribution License 4.0 (CC BY) (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Translational Science Hair, Kaitlyn Wilson, Emma Wong, Charis Tsang, Anthony Macleod, Malcolm Bannach-Brown, Alexandra Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
title | Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
title_full | Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
title_fullStr | Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
title_full_unstemmed | Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
title_short | Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
title_sort | systematic online living evidence summaries: emerging tools to accelerate evidence synthesis |
topic | Translational Science |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10220429/ https://www.ncbi.nlm.nih.gov/pubmed/37219941 http://dx.doi.org/10.1042/CS20220494 |
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