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Comparing Bibliometric Analysis Using PubMed, Scopus, and Web of Science Databases
Published on: October 24, 2019
Validation of search filters for identifying pediatric studies in PubMed
Edith Leclercq1, Mariska M G Leeflang, Elvira C van Dalen
1Cochrane Childhood Cancer Group, Department of Pediatric Oncology, Emma Children's Hospital/Academic Medical Center, Amsterdam, The Netherlands. e.leclercq@amc.uva.nl
Insights
This study evaluated PubMed search filters for pediatric studies. A new, highly sensitive and precise pediatric search filter was developed to improve the retrieval of child-related research.
Area of Science:
- Biomedical Informatics
- Medical Librarianship
- Pediatric Research
Background:
- Accurate retrieval of pediatric studies in PubMed is crucial for evidence-based practice.
- Existing PubMed search filters for pediatric research have limitations in sensitivity or precision.
- Optimizing search strategies is essential for efficient literature reviews.
Purpose of the Study:
- To identify and validate existing PubMed search filters for retrieving studies involving children.
- To develop a novel, high-performance pediatric search filter for PubMed.
Main Methods:
- Evaluation of six identified pediatric search filters and the PubMed 'Child' filter using two distinct study datasets.
- Performance assessment based on sensitivity, precision, specificity, accuracy, and number needed to read (NNR).
- Development of a new pediatric search filter incorporating identified optimal search terms.
Main Results:
- Existing filters demonstrated a trade-off between high sensitivity and low precision, or vice versa.
- The Cochrane Childhood Cancer Group, Child Health Field, and BestBets filters showed high sensitivity (99.3-99.5%) but lower precision (64.5-68.4%).
- A newly developed pediatric search filter achieved optimal sensitivity (99.5%) and precision (69.0%) with a low NNR.
Conclusions:
- Existing PubMed search filters for pediatric studies often compromise sensitivity or precision.
- A new pediatric search filter offers improved performance, balancing high sensitivity with acceptable precision.
- The developed filter enhances the efficient and accurate retrieval of pediatric research in PubMed.
Objective:
To identify and validate PubMed search filters for retrieving studies including children and to develop a new pediatric search filter for PubMed.
Study Design:
We developed 2 different datasets of studies to evaluate the performance of the identified pediatric search filters, expressed in terms of sensitivity, precision, specificity, accuracy, and number needed to read (NNR). An optimal search filter will have a high sensitivity and high precision with a low NNR.
Results:
In addition to the PubMed Limits: All Child: 0-18 years filter (in May 2012 renamed to PubMed Filter Child: 0-18 years), 6 search filters for identifying studies including children were identified: 3 developed by Kastner et al, 1 developed by BestBets, one by the Child Health Field, and 1 by the Cochrane Childhood Cancer Group. Three search filters (Cochrane Childhood Cancer Group, Child Health Field, and BestBets) had the highest sensitivity (99.3%, 99.5%, and 99.3%, respectively) but a lower precision (64.5%, 68.4%, and 66.6% respectively) compared with the other search filters. Two Kastner search filters had a high precision (93.0% and 93.7%, respectively) but a low sensitivity (58.5% and 44.8%, respectively). They failed to identify many pediatric studies in our datasets. The search terms responsible for false-positive results in the reference dataset were determined. With these data, we developed a new search filter for identifying studies with children in PubMed with an optimal sensitivity (99.5%) and precision (69.0%).
Conclusion:
Search filters to identify studies including children either have a low sensitivity or a low precision with a high NNR. A new pediatric search filter with a high sensitivity and a low NNR has been developed.
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