Use of deprescribing search filters in systematic review search strategies: a case study

Abstract

Deprescribing search filters aiming at maximizing sensitivity for MEDLINE and for Embase were recently developed. Simultaneously, The US Deprescribing Network (USden) developed a deprescribing search strategy that included a deprescribing search filter for MEDLINE. The aim of this case study was to implement these deprescribing search filters in original search strategies from deprescribing related systematic reviews (SRs) and to calculate their performances. Two deprescribing SRs were included. Authors were asked to repeat the selection process described in SRs original methods. Performances of search strategies implemented with deprescribing search filters (ISS) were calculated and compared to original search strategies (OSS). In MEDLINE, sensitivity for SR 1 was 50% for OSS (Precision: 2.8%), 58% for ISS with maximised sensitivity filter (Precision: 1.7%) and 42% for ISS with USden filter (Precision: 5.1%). Sensitivity for SR 2 was 25% for all search strategies (Precision: 0.1%, 0.2% and 1,2% respectively). In Embase, sensitivity for SR 1 was 33% (Precision: 4,1%) for OSS and 58% for ISS (Precision 2.1%). No articles were included through Embase search strategies for SR 2. Using maximized sensitivity deprescribing filters may increase the exhaustivity of deprescribing SRs. Precision offered by the USDeN deprescribing filter is a convenient alternative for non-systematic reviews.

Advancing deprescribing: Learnings from the first international conference on deprescribing

“…Zidan and Awaisu 10 discuss differences and similarities between deprescribing and other polypharmacy management interventions, such as medication reviews and highlight overlap that might contribute to deprescribing being considered an approach to manage polypharmacy. Morel et al 11 demonstrate, through a case study, that three recently developed deprescribing search filters entails maintained or slightly improved sensitivity when implemented in systematic review search strategies. Finally, Cheng el al 12 .…”