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Optimizing a literature surveillance strategy to...
Journal article

Optimizing a literature surveillance strategy to retrieve sound overall prognosis and risk assessment model papers

Abstract

OBJECTIVE: Our aim was to develop an efficient search strategy for prognostic studies and clinical prediction guides (CPGs), optimally balancing sensitivity and precision while independent of MeSH terms, as relying on them may miss the most current literature. MATERIALS AND METHODS: We combined 2 Hedges-based search strategies, modified to remove MeSH terms for overall prognostic studies and CPGs, and ran the search on 269 journals. We read …

Authors

Kavanagh PL; Frater F; Navarro T; LaVita P; Parrish R; Iorio A

Journal

Journal of the American Medical Informatics Association, Vol. 28, No. 4, pp. 766–771

Publisher

Oxford University Press (OUP)

Publication Date

March 18, 2021

DOI

10.1093/jamia/ocaa232

ISSN

1067-5027