Journal of the Medical Library Association JMLA· 2016Q1
De-duplication of database search results for systematic reviews in EndNote
- 1,919citations
- Q1SCImago
- 2016year
Short summary
EndNote's built-in de-duplication feature is inefficient for systematic reviews, missing 20% of duplicates when using standard settings.
AI-generated from the title and abstract; the full text is not read.
Key points
- EndNote's standard de-duplication misses 20% of duplicate records in systematic review searches.
- The software's reliance on unique identifiers (DOIs, PMIDs) is limited by their inconsistent availability and exportability.
- Variations in how pagination data is stored prevent EndNote from effectively using it as a de-duplication method.
- Existing de-duplication methods are often time-consuming or impractical for large datasets.
AI-generated from the title and abstract; the full text is not read.
Abstract
When conducting exhaustive searches for systematic reviews, information professionals search multiple databases with overlapping content [1][2][3][4].They typically remove duplicate records to reduce the reviewers' workload associated with screening titles and abstracts; sometimes the reviewers remove the duplicates.Several articles have been published recently on de-duplication methods.In the authors' opinion, these methods are either very time consuming [5] or impractical, as they require uploading large files to an online platform [6,7].A recent overview article compared existing software programs but found that none was truly satisfactory [8].Unique identifiers for journal articles are digital object identifiers (DOIs) and PubMed IDs (PMIDs).However, these identifiers are not present in every database.When they are present, they often cannot be exported easily.Thus, they cannot be relied upon to identify duplicates.An alternative involves using pagination, because the often large page numbers in scientific journals, in combination with other fields, can serve as a type of unique identifier.However, this is complicated by variations in the way page numbers are stored.Most biomedical databases use a long format (e.g.,
The authors' abstract, as published at the source. Journal of the Medical Library Association JMLA, 2016 · DOI ↗
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Field: Management Science and Operations Research
Management Science and Operations ResearchDecision Sciences