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Effective study selection using text mining or a single-screening approach: a study protocol.

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This summary is machine-generated.

This study evaluates text mining tools and single-person screening to improve systematic review efficiency. Findings suggest these methods can streamline study selection, reducing time and resources.

Keywords:
Citation screeningScreening prioritizationSemi-automationSystematic reviews

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Area of Science:

  • Systematic review methodology
  • Information science
  • Health services research

Background:

  • Systematic literature reviews typically involve a two-person, double-screening approach for study selection.
  • Efficiency in systematic reviews is a growing concern, prompting investigation into novel methods.
  • Text mining and single-person screening are proposed as potential efficiency-enhancing strategies.

Purpose of the Study:

  • To assess if text mining tools (Rayyan, EPPI Reviewer) improve study selection efficiency.
  • To determine the accuracy of a single-screening approach in identifying relevant studies.
  • To compare the advantages and disadvantages of single-screening versus double-screening, including time and full-text ordering.

Main Methods:

  • Prospective analysis of study selection processes for drug and non-drug interventions.
  • Evaluation of a single-screening approach with a priori sample size calculation (11 processes, 33 screenings).
  • Comparison with a conventional double-screening approach (5 processes) analyzing time and full-text orders, considering screener experience.

Main Results:

  • The study provides the first comparison of prioritization tools in systematic reviews.
  • It investigates multiple aspects of the screening process with statistical power from sample size calculation.
  • The impact of missing studies on benefit assessment conclusions is quantified.

Conclusions:

  • The research addresses an evidence gap in systematic review methodology.
  • It offers insights into optimizing study selection processes for increased efficiency.
  • Findings contribute to more efficient and potentially more accurate systematic reviews.