Abstract
Systematic reviews answer specific questions based on primary literature. However, systematic reviews on the same topic frequently disagree, yet there are no approaches for understanding why at a glance. Our goal is to provide a visual summary that could be useful to researchers, policy makers, and health care professionals in understanding why health controversies persist in the expert literature over time. We present a case study of a single controversy in public health, around the question: “Is reducing dietary salt beneficial at a population level?” We define and visualize three new constructs: the overall evidence base, which consists of the evidence summarized by systematic reviews (the inclusion network) and the unused evidence (isolated nodes). Our network visualization shows at a glance what evidence has been synthesized by each systematic review. Visualizing the temporal evolution of the network captures two key moments when new scientific opinions emerged, both associated with a turn to new sets of evidence that had little to no overlap with previously reviewed evidence. Limited overlap between the evidence reviewed was also found for systematic reviews published in the same year. Future work will focus on understanding the reasons for limited overlap and automating this methodology for medical literature databases.
Original language | English (US) |
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Article number | e315 |
Number of pages | 7 |
Journal | Proceedings of the Association for Information Science and Technology |
Volume | 57 |
Issue number | 1 |
DOIs | |
State | Published - Oct 2020 |
Keywords
- bibliometrics
- evidence synthesis
- network
- systematic review
ASJC Scopus subject areas
- General Computer Science
- Library and Information Sciences
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Dive into the research topics of 'Visualizing evidence‐based disagreement over time: The landscape of a public health controversy 2002–2014'. Together they form a unique fingerprint.Datasets
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The Salt Controversy Systematic Review Reports and Primary Study Reports Network Dataset
Fu, Y. (Creator), Hsiao, T.-K. (Creator), Joshi, M. (Creator) & Lischwe Mueller, N. (Creator), University of Illinois Urbana-Champaign, Jul 5 2023
DOI: 10.13012/B2IDB-6128763_V3
Dataset