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ABSTRACT: Background
Researchers performing high-quality systematic reviews search across multiple databases to identify relevant evidence. However, the same publication is often retrieved from several databases. Identifying and removing such duplicates ("deduplication") can be extremely time-consuming, but failure to remove these citations can lead to the wrongful inclusion of duplicate data. Many existing tools are not sensitive enough, lack interoperability with other tools, are not freely accessible, or are difficult to use without programming knowledge. Here, we report the performance of our Automated Systematic Search Deduplicator (ASySD), a novel tool to perform automated deduplication of systematic searches for biomedical reviews.Methods
We evaluated ASySD's performance on 5
SUBMITTER: Hair K
PROVIDER: S-EPMC10483700 | biostudies-literature | 2023 Sep
REPOSITORIES: biostudies-literature