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Updated: Feb 12, 2026

Pattern-based Search of Epigenomic Data Using GeNemo
Published on: October 8, 2017
Limited search strategies were effective in finding relevant nonrandomized studies
Andrea D Furlan1, Emma Irvin, Claire Bombardier
1Institute for Work and Health, 481 University Av, Suite 800, Toronto, Ontario M5G 2E9, Canada. afurlan@iwh.on.ca
Developing effective search strategies for comparative nonrandomized studies (cNRSs) is now possible. This method enhances the sensitivity of searches for healthcare interventions, improving data retrieval.
Area of Science:
- Medical Informatics
- Health Services Research
- Systematic Review Methodology
Background:
- Searching electronic databases for nonrandomized studies presents challenges due to diverse designs and inconsistent terminology.
- Standardizing search strategies for comparative nonrandomized studies (cNRSs) is crucial for accurate systematic reviews.
Purpose of the Study:
- To develop and evaluate a method for limiting search strategies by study design for cNRSs.
- To improve the efficiency and accuracy of identifying relevant nonrandomized studies in health care interventions.
Main Methods:
- Selected four Cochrane systematic reviews incorporating nonrandomized studies (cohort, case-control, cross-sectional).
- Devised study-design-limited search strategies in MEDLINE and EMBASE.
- Proposed a progressive method (PM) and a fixed method for selecting optimal search terms for nonrandomized study designs.
Main Results:
- Search strategies limited by study design achieved high sensitivity (90%-100%) in both databases.
- The progressive method (PM) using controlled vocabulary and textwords demonstrated excellent sensitivity.
- A fixed set of controlled vocabulary and textwords also yielded high sensitivity (95%-100%).
Conclusions:
- Implementing search strategies limited by study design for cNRSs in healthcare interventions is feasible and effective.
- This approach enhances the ability to accurately identify relevant nonrandomized studies for systematic reviews.
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