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MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta

Rhiannon Owen Orcid Logo, Naomi Bradbury, Yiqiao Xin, Nicola Cooper, Alex Sutton

Research Synthesis Methods, Volume: 10, Issue: 4, Pages: 569 - 581

Swansea University Author: Rhiannon Owen Orcid Logo

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DOI (Published version): 10.1002/jrsm.1373

Abstract

BackgroundNetwork meta-analysis (NMA) is a powerful analysis method used to identify the best treatments for a condition and is used extensively by health care decision makers. Although software routines exist for conducting NMA, they require considerable statistical programming expertise to use, wh...

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Published in: Research Synthesis Methods
ISSN: 1759-2879 1759-2887
Published: Wiley 2019
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URI: https://cronfa.swan.ac.uk/Record/cronfa60669
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spelling 2022-08-04T12:28:52.2255794 v2 60669 2022-07-28 MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta 0d30aa00eef6528f763a1e1589f703ec 0000-0001-5977-376X Rhiannon Owen Rhiannon Owen true false 2022-07-28 HDAT BackgroundNetwork meta-analysis (NMA) is a powerful analysis method used to identify the best treatments for a condition and is used extensively by health care decision makers. Although software routines exist for conducting NMA, they require considerable statistical programming expertise to use, which limits the number of researchers able to conduct such analyses.ObjectivesTo develop a web-based tool allowing users with only standard internet browser software to be able to conduct NMAs using an intuitive “point and click” interface and present the results using visual plots.MethodsUsing the existing netmeta and Shiny packages for R to conduct the analyses, and to develop the user interface, we created the MetaInsight tool which is freely available to use via the web.ResultsA package was created for conducting NMA which satisfied our objectives, and this is described, and its application demonstrated, using an illustrative example.ConclusionsWe believe that many researchers will find our package helpful for facilitating NMA as well as allowing decision makers to scrutinize presented results visually and in real time. This will impact on the relevance of statistical analyses for health care decision making and sustainably increase capacity by empowering informed nonspecialists to be able to conduct more clinically relevant reviews. It is also hoped that others will be inspired to create similar tools for other advanced specialist analyses methods using the freely available technologies we have adopted. Journal Article Research Synthesis Methods 10 4 569 581 Wiley 1759-2879 1759-2887 1 12 2019 2019-12-01 10.1002/jrsm.1373 COLLEGE NANME Health Data Science COLLEGE CODE HDAT Swansea University Midlands Integrative Biosciences Training Partnership studentship. Grant Number: BB/M01116X/1; National Institute for Health Research. Grant Number: 14/178/29 2022-08-04T12:28:52.2255794 2022-07-28T20:32:06.3313717 Faculty of Medicine, Health and Life Sciences Swansea University Medical School - Medicine Rhiannon Owen 0000-0001-5977-376X 1 Naomi Bradbury 2 Yiqiao Xin 3 Nicola Cooper 4 Alex Sutton 5 60669__24841__7b027c720f204551929f8e296e37dbb1.pdf 60669.pdf 2022-08-04T12:27:25.9143898 Output 899763 application/pdf Version of Record true © 2019 The Authors. This is an open access article under the terms of the Creative Commons Attribution License. true eng http://creativecommons.org/licenses/by/4.0/
title MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
spellingShingle MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
Rhiannon Owen
title_short MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
title_full MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
title_fullStr MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
title_full_unstemmed MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
title_sort MetaInsight: An interactive web‐based tool for analyzing, interrogating, and visualizing network meta‐analyses using R‐shiny and netmeta
author_id_str_mv 0d30aa00eef6528f763a1e1589f703ec
author_id_fullname_str_mv 0d30aa00eef6528f763a1e1589f703ec_***_Rhiannon Owen
author Rhiannon Owen
author2 Rhiannon Owen
Naomi Bradbury
Yiqiao Xin
Nicola Cooper
Alex Sutton
format Journal article
container_title Research Synthesis Methods
container_volume 10
container_issue 4
container_start_page 569
publishDate 2019
institution Swansea University
issn 1759-2879
1759-2887
doi_str_mv 10.1002/jrsm.1373
publisher Wiley
college_str Faculty of Medicine, Health and Life Sciences
hierarchytype
hierarchy_top_id facultyofmedicinehealthandlifesciences
hierarchy_top_title Faculty of Medicine, Health and Life Sciences
hierarchy_parent_id facultyofmedicinehealthandlifesciences
hierarchy_parent_title Faculty of Medicine, Health and Life Sciences
department_str Swansea University Medical School - Medicine{{{_:::_}}}Faculty of Medicine, Health and Life Sciences{{{_:::_}}}Swansea University Medical School - Medicine
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description BackgroundNetwork meta-analysis (NMA) is a powerful analysis method used to identify the best treatments for a condition and is used extensively by health care decision makers. Although software routines exist for conducting NMA, they require considerable statistical programming expertise to use, which limits the number of researchers able to conduct such analyses.ObjectivesTo develop a web-based tool allowing users with only standard internet browser software to be able to conduct NMAs using an intuitive “point and click” interface and present the results using visual plots.MethodsUsing the existing netmeta and Shiny packages for R to conduct the analyses, and to develop the user interface, we created the MetaInsight tool which is freely available to use via the web.ResultsA package was created for conducting NMA which satisfied our objectives, and this is described, and its application demonstrated, using an illustrative example.ConclusionsWe believe that many researchers will find our package helpful for facilitating NMA as well as allowing decision makers to scrutinize presented results visually and in real time. This will impact on the relevance of statistical analyses for health care decision making and sustainably increase capacity by empowering informed nonspecialists to be able to conduct more clinically relevant reviews. It is also hoped that others will be inspired to create similar tools for other advanced specialist analyses methods using the freely available technologies we have adopted.
published_date 2019-12-01T04:18:58Z
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