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A mapping exercise using automated techniques to develop a search strategy to identify systematic review tools

Lookup NU author(s): Andrew Sutton, Hannah O'KeefeORCiD, Eugenie JohnsonORCiD, Dr Christopher Marshall

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

The Systematic Review Toolbox aims provide a web-based catalogue of tools that support various tasks within the systematic review and wider evidence synthesis process. Identifying publications surrounding specific systematic review tools is currently challenging, leading to a high screening burden for few eligible records. We aimed to develop a search strategy that could be regularly and automatically run to identify eligible records for the SR Toolbox, thus reducing time on task and burden for those involved. We undertook a mapping exercise to identify the PubMed IDs of papers indexed within the SR Toolbox. We then used the Yale MeSH Analyser and Visualisation of Similarities (VOS) Viewer text-mining software to identify the most commonly used MeSH terms and text words within the eligible records. These MeSH terms and text words were combined using Boolean Operators into a search strategy for Ovid MEDLINE. Prior to the mapping exercise and search strategy development, 81 software tools and 55 ‘Other’ tools were included within the SR Toolbox. Since implementation of the search strategy, 146 tools have been added. There has been an increase in tools added to the toolbox since the search was developed and its corresponding auto-alert in MEDLINE was originally set up. Developing a search strategy based on a mapping exercise is an effective way of identifying new tools to support the systematic review process. Further research could be conducted to help prioritise records for screening to reduce reviewer burden further and to adapt the strategy for disciplines beyond healthcare.


Publication metadata

Author(s): Sutton A, O'Keefe H, Johnson E, Marshall C

Publication type: Article

Publication status: Published

Journal: Research Synthesis Methods

Year: 2023

Volume: 14

Issue: 6

Pages: 874-881

Print publication date: 06/11/2023

Online publication date: 05/09/2023

Acceptance date: 04/08/2023

Date deposited: 05/02/2025

ISSN (print): 1759-2879

ISSN (electronic): 1759-2887

Publisher: Wiley-Blackwell Publishing Ltd.

URL: https://doi.org/10.1002/jrsm.1665

DOI: 10.1002/jrsm.1665

Data Access Statement: Data sharing not applicable to this article as no datasets were generated or analysed during the current study.


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