Literature DB >> 25082456

Reporting methodological search filter performance comparisons: a literature review.

Jennifer Harbour1, Cynthia Fraser, Carol Lefebvre, Julie Glanville, Sophie Beale, Charles Boachie, Steven Duffy, Rachael McCool, Lynne Smith.   

Abstract

BACKGROUND: Methodological search filters are tools for retrieving database records reporting studies which use a specific research method. Choosing a filter is likely to be based on filter performance data. This review examines which measures are reported, and the way that filter performance is presented, in filter comparisons.
METHODS: Studies were identified from the current content and pending update (2010) of a filter website. Eligible studies compared two or more methodological search filters designed to identify randomised controlled trials, diagnostic test accuracy studies, systematic reviews or economic evaluations.
RESULTS: Eighteen studies met the inclusion criteria. The number of filters compared in a single study ranged from 2 to 38. The most commonly reported measures were sensitivity/recall and precision. All studies displayed results in tables and gave results as percentages or proportions. Two studies supplemented results tables with graphical displays of data: a bar graph of the proportion of retrieved and missed gold standard references per filter; a forest plot of the overall sensitivity and specificity of each filter.
CONCLUSIONS: Sensitivity/recall and precision are the most frequently reported performance measures. This review highlights the potential for presenting results in novel and innovative ways to aid filter selection.
© 2014 The authors. Health Information and Libraries Journal © 2014 Health Libraries Journal.

Entities:  

Keywords:  bibliographic databases; information storage and retrieval; methodological filters; precision; recall; review, literature

Mesh:

Year:  2014        PMID: 25082456     DOI: 10.1111/hir.12070

Source DB:  PubMed          Journal:  Health Info Libr J        ISSN: 1471-1834


  3 in total

1.  The art and science of study identification: a comparative analysis of two systematic reviews.

Authors:  Laura Rosen; Ruth Suhami
Journal:  BMC Med Res Methodol       Date:  2016-02-24       Impact factor: 4.615

2.  Study filters for non-randomized studies of interventions consistently lacked sensitivity upon external validation.

Authors:  Elke Hausner; Maria-Inti Metzendorf; Bernd Richter; Fabian Lotz; Siw Waffenschmidt
Journal:  BMC Med Res Methodol       Date:  2018-12-18       Impact factor: 4.615

Review 3.  Toward a comprehensive evidence map of overview of systematic review methods: paper 1-purpose, eligibility, search and data extraction.

Authors:  Carole Lunny; Sue E Brennan; Steve McDonald; Joanne E McKenzie
Journal:  Syst Rev       Date:  2017-11-21
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.