The systematic review and bibliometric network analysis (SeBriNA) is a new method to contextualize evidence. Part 1: description

J Clin Epidemiol. 2012 Sep;65(9):1010-5. doi: 10.1016/j.jclinepi.2012.03.009. Epub 2012 Jun 27.

Abstract

Objective: We describe a new methodology, the systematic review and bibliometric network analysis (SeBriNA), to contextualize the quality and quantity of patient-centered outcomes evidence relative to complementary documents such as reviews, practice guidelines, editorials, and media reports.

Study design and setting: The SeBriNA is informed by systematic review and bibliometric analysis methodologies. It focuses on two key concepts: 1) quality of evidence for patient-centered outcomes using cumulative meta-analysis and the GRADE (Grading of Recommendations, Assessment, Development, and Evaluation) appraisal approach; 2) quantity of original research and its citation relationships to related documents. It includes four steps: 1) research questions and document selection; 2) data extraction and analysis; 3) document network relationships; and 4) document network visualization.

Results: The primary output from the SeBriNA is an analysis of 1) evidence-the annual cumulative meta-analysis estimate of effect juxtaposed against quality of evidence by patient-centered outcomes (GRADE), and 2) context-the network of relationships between related documents and original research. This analysis can be represented as a single figure.

Conclusions: The SeBriNA may help decision makers conceptualize, interpret, and visualize the quantity, quality, and relevance of original research within a network of related documents. Applications include prospective support for clinical and policy decisions and identification of research gaps.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Bibliometrics*
  • Evidence-Based Medicine
  • Meta-Analysis as Topic
  • Publication Bias
  • Systematic Reviews as Topic*
  • Treatment Outcome