Premium
Utilisation of search filters in systematic reviews of prognosis questions
Author(s) -
Chatterley Trish,
Dennett Liz
Publication year - 2012
Publication title -
health information and libraries journal
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.779
H-Index - 38
eISSN - 1471-1842
pISSN - 1471-1834
DOI - 10.1111/hir.12004
Subject(s) - limiting , medline , medicine , filter (signal processing) , information retrieval , computer science , medical physics , law , computer vision , engineering , mechanical engineering , political science
Background Search filters are designed to increase efficiency of information retrieval and can be particularly useful in limiting the large numbers of articles retrieved for systematic reviews ( SR s). Existing published prognosis search filters (or hedges) have lower sensitivity and precision values than their therapy counterparts. Objectives Taking into account the relatively poor performance of prognosis filters, this study seeks to identify which methods of limiting search results to prognostic studies are most often used by SR teams. Methods One hundred and three SR s of prognostic studies published in 2009 and indexed in MEDLINE were retrieved. Each review's search strategy was reviewed and prognosis‐related search terms were extracted. Results Forty‐seven of 103 studies used prognosis‐related terms to limit the search. Six SR s of 103 did not specify their search terms, and the remaining 50 SR s used content terms only (no terms related to methodology or prognosis). Of the 47 strategies using prognosis‐related terms, only six used a published filter. Many SR s used few or poorly selected prognosis‐related search terms which are unlikely to provide the sensitivity generally sought for SR s. Conclusions Published prognosis search filters are used in only a small minority of prognosis SR s.