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Treffer: Methods for depicting overlap in overviews of systematic reviews: An introduction to static tabular and graphical displays.

Title:
Methods for depicting overlap in overviews of systematic reviews: An introduction to static tabular and graphical displays.
Authors:
Bougioukas KI; Department of Hygiene, Social-Preventive Medicine & Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece., Vounzoulaki E; Diabetes Research Centre, Leicester General Hospital, University of Leicester, Leicester, UK; National Institute for Health Research Applied Research Collaboration-East Midlands, Leicester Diabetes Centre, Leicester LE5 4PW, UK., Mantsiou CD; Second Medical Department, Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece., Savvides ED; 1st Department of Urology, Medical School, G. Gennimatas General Hospital, Aristotle University of Thessaloniki, Thessaloniki, Greece., Karakosta C; Department of Hygiene, Social-Preventive Medicine & Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece., Diakonidis T; Department of Hygiene, Social-Preventive Medicine & Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece., Tsapas A; Second Medical Department, Clinical Research and Evidence-Based Medicine Unit, Aristotle University of Thessaloniki, Thessaloniki, Greece; Second Medical Department, Diabetes Centre, Aristotle University of Thessaloniki, Thessaloniki, Greece; Harris Manchester College, University of Oxford, Oxford, UK., Haidich AB; Department of Hygiene, Social-Preventive Medicine & Medical Statistics, School of Medicine, Faculty of Health Sciences, Aristotle University of Thessaloniki, University Campus, 54124 Thessaloniki, Greece. Electronic address: haidich@auth.gr.
Source:
Journal of clinical epidemiology [J Clin Epidemiol] 2021 Apr; Vol. 132, pp. 34-45. Date of Electronic Publication: 2020 Dec 09.
Publication Type:
Journal Article; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: Elsevier Country of Publication: United States NLM ID: 8801383 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1878-5921 (Electronic) Linking ISSN: 08954356 NLM ISO Abbreviation: J Clin Epidemiol Subsets: MEDLINE
Imprint Name(s):
Publication: New York : Elsevier
Original Publication: Oxford ; New York : Pergamon Press, c1988-
MeSH Terms:
Research Design*, Computer Graphics/*statistics & numerical data , Systematic Reviews as Topic/*methods, Evidence-Based Medicine ; Humans
Contributed Indexing:
Keywords: Degree of overlap; Graphical display; Heatmap; Overview of systematic reviews; Upset plot; Visualization
Entry Date(s):
Date Created: 20201214 Date Completed: 20210928 Latest Revision: 20210928
Update Code:
20250114
DOI:
10.1016/j.jclinepi.2020.12.004
PMID:
33309886
Database:
MEDLINE

Weitere Informationen

Background and Objective: To introduce potential static tabular and graphical techniques for visually presenting overlap between systematic reviews (SRs) included in overviews of systematic reviews (OoSRs).
Methods: The graphical approaches described include Venn and Euler diagrams, as well as matrix-based, node-link, and aggregation-based techniques. We used fundamental concepts of mathematics from set and network theory to develop our novel graphical approaches. The graphical displays were created using R.
Results: Overview authors have the flexibility to choose from a variety of visualizations, depending on the characteristics of their study. If the OoSRs include few SRs, a Venn or an Euler diagram can be used. In case of OoSRs with more SRs, Upset plots, heatmaps, and node-link graphs are more appropriate for visualizing overlapping SRs. Stacked bar plots constitute an aggregation-based technique of illustrating overlap. Strengths and limitations of each graphical approach are presented.
Conclusion: The degree of overlap should be explored for the entire study and for specific outcomes of interest. The proposed graphical techniques may assist methodologists and authors in identifying overlap, which in turn may improve validity and transparency in OoSRs. More research is needed to understand which technique would be most useful and easiest to understand.
(Copyright © 2020 Elsevier Inc. All rights reserved.)