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

The Journal of Pediatrics
|October 23, 2012
PubMed

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.
Abstract

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