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A systematic method for search term selection in systematic reviews.

Jenna Thompson1, Jacqueline Davis1, Lorraine Mazerolle1

  • 1ARC Centre of Excellence in Policing and Security, Institute for Social Science Research, The University of Queensland, Brisbane, Queensland, 4072, Australia.

Research Synthesis Methods
|June 9, 2015
PubMed
Summary
This summary is machine-generated.

Keeping up with research is hard due to increased publishing. This study presents a replicable method using leximancer software to systematically select search terms for systematic reviews, improving research synthesis.

Keywords:
semanticssystematic reviewsystematic searchterm

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Area of Science:

  • Information Science
  • Medical Informatics
  • Public Health Research

Background:

  • The exponential growth of scientific publications makes it challenging to stay current with primary research.
  • Systematic reviews are crucial for synthesizing evidence but lack standardized methods for search term selection.
  • Existing guidelines for defining and selecting systematic search terms are limited.

Purpose of the Study:

  • To present a replicable method for selecting terms in a systematic search.
  • To utilize semantic concept recognition software for term identification.
  • To enhance the systematicity and replicability of term selection for systematic reviews.

Main Methods:

  • Employed leximancer, a semantic concept recognition software, to construct search terms.
  • Developed a corpus of literature focused on transborder interventions for drug control.
  • Applied the software to identify and select relevant terms from the literature corpus.

Main Results:

  • Demonstrated a systematic approach to term selection using leximancer.
  • Generated a replicable method applicable to various systematic review topics.
  • Provided a practical tool for researchers to improve systematic search strategies.

Conclusions:

  • The leximancer-based method offers a systematic and replicable approach to selecting search terms.
  • This methodology can enhance the quality and efficiency of systematic reviews across disciplines.
  • Further application of this method can contribute to more robust evidence synthesis.