Data extraction methods for systematic review (semi)automation: Update of a living systematic review.

ABSTRACT: Background: The reliable and usable (semi)automation of data extraction can support the field of systematic review by reducing the workload required to gather information about the conduct and results of the included studies. This living systematic review examines published approaches for data extraction from reports of clinical studies. Methods: We systematically and continually search PubMed, ACL Anthology, arXiv, OpenAlex via EPPI-Reviewer, and the  dblp computer science bibliography. Full text screening and data extraction are conducted within an open-source living systematic review application created for the purpose of this review. This living review update includes publications up to December 2022 and OpenAlex content up to March 2023. Results: 76 publica

SUBMITTER: Schmidt L 

PROVIDER: S-EPMC8361807 | biostudies-literature | 2021

REPOSITORIES: biostudies-literature