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RevManHAL: towards automatic text generation in systematic reviews

BACKGROUND: Systematic reviews are a key part of healthcare evaluation. They involve important painstaking but repetitive work. A major producer of systematic reviews, the Cochrane Collaboration, employs Review Manager (RevMan) programme—a software which assists reviewers and produces XML-structured...

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Autores principales: Torres Torres, Mercedes, Adams, Clive E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5301442/
https://www.ncbi.nlm.nih.gov/pubmed/28183340
http://dx.doi.org/10.1186/s13643-017-0421-y
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author Torres Torres, Mercedes
Adams, Clive E.
author_facet Torres Torres, Mercedes
Adams, Clive E.
author_sort Torres Torres, Mercedes
collection PubMed
description BACKGROUND: Systematic reviews are a key part of healthcare evaluation. They involve important painstaking but repetitive work. A major producer of systematic reviews, the Cochrane Collaboration, employs Review Manager (RevMan) programme—a software which assists reviewers and produces XML-structured files. This paper describes an add-on programme (RevManHAL) which helps auto-generate the abstract, results and discussion sections of RevMan-generated reviews in multiple languages. The paper also describes future developments for RevManHAL. METHODS: RevManHAL was created in Java using NetBeans by a programmer working full time for 2 months. RESULTS: The resulting open-source programme uses editable phrase banks to envelop text/numbers from within the prepared RevMan file in formatted readable text of a chosen language. In this way, considerable parts of the review’s ‘abstract’, ‘results’ and ‘discussion’ sections are created and a phrase added to ‘acknowledgements’. CONCLUSION: RevManHAL’s output needs to be checked by reviewers, but already, from our experience within the Cochrane Schizophrenia Group (200 maintained reviews, 900 reviewers), RevManHAL has saved much time which is better employed thinking about the meaning of the data rather than restating them. Many more functions will become possible as review writing becomes increasingly automated.
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spelling pubmed-53014422017-02-15 RevManHAL: towards automatic text generation in systematic reviews Torres Torres, Mercedes Adams, Clive E. Syst Rev Letter BACKGROUND: Systematic reviews are a key part of healthcare evaluation. They involve important painstaking but repetitive work. A major producer of systematic reviews, the Cochrane Collaboration, employs Review Manager (RevMan) programme—a software which assists reviewers and produces XML-structured files. This paper describes an add-on programme (RevManHAL) which helps auto-generate the abstract, results and discussion sections of RevMan-generated reviews in multiple languages. The paper also describes future developments for RevManHAL. METHODS: RevManHAL was created in Java using NetBeans by a programmer working full time for 2 months. RESULTS: The resulting open-source programme uses editable phrase banks to envelop text/numbers from within the prepared RevMan file in formatted readable text of a chosen language. In this way, considerable parts of the review’s ‘abstract’, ‘results’ and ‘discussion’ sections are created and a phrase added to ‘acknowledgements’. CONCLUSION: RevManHAL’s output needs to be checked by reviewers, but already, from our experience within the Cochrane Schizophrenia Group (200 maintained reviews, 900 reviewers), RevManHAL has saved much time which is better employed thinking about the meaning of the data rather than restating them. Many more functions will become possible as review writing becomes increasingly automated. BioMed Central 2017-02-09 /pmc/articles/PMC5301442/ /pubmed/28183340 http://dx.doi.org/10.1186/s13643-017-0421-y Text en © The Author(s). 2017 Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.
spellingShingle Letter
Torres Torres, Mercedes
Adams, Clive E.
RevManHAL: towards automatic text generation in systematic reviews
title RevManHAL: towards automatic text generation in systematic reviews
title_full RevManHAL: towards automatic text generation in systematic reviews
title_fullStr RevManHAL: towards automatic text generation in systematic reviews
title_full_unstemmed RevManHAL: towards automatic text generation in systematic reviews
title_short RevManHAL: towards automatic text generation in systematic reviews
title_sort revmanhal: towards automatic text generation in systematic reviews
topic Letter
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5301442/
https://www.ncbi.nlm.nih.gov/pubmed/28183340
http://dx.doi.org/10.1186/s13643-017-0421-y
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