부산대학교 도서관

Abstract Background Living systematic reviews (LSRs) can expedite evidence synthesis by incorporating new evidence in real time. However, the methods needed to identify new studies in a timely manner are not well established. Objectives To explore the value of complementary search approaches in terms of search performance, impact on results and conclusions, screening workload, and feasibility compared to the reference standard. Methods We developed three complementary search approaches for a systematic review on treatments for bronchiolitis: Automated Full Search, PubMed Similar Articles, and Scopus Citing References. These were automated to retrieve results monthly; pairs of reviewers screened the records and commented on feasibility. After 1 year, we conducted a full update search (reference standard). For each complementary approach, we compared search performance (proportion missed, number needed to read [NNR]) and reviewer workload (number of records screened, time required) to the reference standard. We investigated the impact of the new trials on the effect estimate and certainty of evidence for the primary outcomes. We summarized comments about feasibility. Results Via the reference standard, reviewers screened 505 titles/abstracts, 24 full texts, and identified four new trials (NNR 127; 12.4 h). Of the complementary approaches, only the Automated Full Search located all four trials; these were located 6 to 12 months sooner than via the reference standard but did not alter the results nor certainty in the evidence. The Automated Full Search was the most resource-intensive approach (816 records screened; NNR 204; 17.1 h). The PubMed Similar Articles and Scopus Citing References approaches located far fewer records (452 and 244, respectively), thereby requiring less screening time (9.4 and 5.2 h); however, each approach located only one of the four new trials. Reviewers found it feasible and convenient to conduct monthly screening for searches of this yield (median 15–65 records/month). Conclusions The Automated Full Search was the most resource-intensive approach, but also the only to locate all of the newly published trials. Although the monthly screening time for the PubMed Similar Articles and Scopus Citing Articles was far less, most relevant records were missed. These approaches were feasible to integrate into reviewer work processes. Systematic review registration Open Science Framework. https://doi.org/10.17605/OSF.IO/6M28H .