Surveillance search techniques identified the need to update systematic reviews.

TitleSurveillance search techniques identified the need to update systematic reviews.
Publication TypeJournal Article
Year of Publication2008
AuthorsSampson M, Shojania KG, McGowan J, Daniel R, Rader T, Iansavichene AE, Ji J, Ansari MT, Moher D
JournalJournal of clinical epidemiology
Date Published2008 Aug
KeywordsAlgorithms; Cohort Studies; Delivery of health Care; Feasibility Studies; Humans; Information Storage and Retrieval; MEDLINE; Meta-Analysis as Topic; PubMed; Randomized Controlled Trials as Topic; Review Literature as Topic
AbstractOBJECTIVE: This article reports on literature surveillance methods to identify new evidence eligible for updating systematic reviews. STUDY DESIGN AND SETTING: Five surveillance search approaches are tested in the context of identifying studies that would signal major or invalidating new evidence for existing systematic reviews of health care interventions. Recall for each search approach was assessed as proportion of a composite yield of relevant studies across all search approaches that were identified by that approach. Screening burden was the number of studies that would need to be reviewed to identify the evidence that would necessitate updating. RESULTS: Searches were tested in a cohort of 77 systematic reviews. No one method yielded consistently high recall of relevant new evidence, so combinations of the strategies were examined. A search algorithm based on PubMed's related article search in combination with a subject searching using clinical queries was the most effective combination, retrieving all relevant new records in 68 cases. Screening burden was a median of 71 new records per review (inter-quartile range: 42-161). CONCLUSION: Surveillance for emerging evidence that signals the need to update systematic reviews is feasible using a combination of subject searching and searching based on the PubMed's related article function.
Alternate JournalJ Clin Epidemiol