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Updated: Jun 15, 2026
06:38
Early Detection of Drug-Induced Renal Hemodynamic Dysfunction Using Sonographic Technology in Rats
Published on: March 11, 2016
Optimal search filters for renal information in EMBASE
Arthur V Iansavichus1, R Brian Haynes, Salimah Z Shariff
1Division of Nephrology, University of Western Ontario, London, Canada.
Summary
Developed and validated high-performance renal search filters for EMBASE. These filters improve the efficiency of retrieving renal information, achieving 98.7% sensitivity and 98.5% specificity.
Area of Science:
- Biomedical Informatics
- Information Retrieval
- Nephrology
Background:
- EMBASE is a key database for biomedical literature.
- Efficient retrieval of renal articles is crucial for clinicians and researchers.
- Existing search methods may lack specificity and sensitivity.
Purpose of the Study:
- To develop and validate effective search filters for identifying renal articles in EMBASE.
- To enhance the efficiency and accuracy of biomedical literature searches.
Main Methods:
- A diagnostic test assessment framework was employed.
- 1,936,799 search filters were tested using a sample of 5,302 articles.
- Filters were evaluated for sensitivity and specificity against a manually reviewed reference standard.
Main Results:
- The optimal filters combined multiple terms like "renal replacement therapy," "kidney disease," and truncated terms such as "neph" and "dialy."
- Peak performance achieved 98.7% sensitivity and 98.5% specificity.
- Excellent retrieval performance was confirmed in an independent validation set.
Conclusions:
- High-performance renal search filters for EMBASE have been empirically developed and validated.
- These filters can be integrated into search engines or used independently.
- Improved search efficiency for renal information is achievable.
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