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

摘要

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.