• Introducing RAPTOR: RevMan Par...

Treffer: Introducing RAPTOR: RevMan Parsing Tool for Reviewers.

Title:
Introducing RAPTOR: RevMan Parsing Tool for Reviewers.
Authors:
Schmidt L; Fakultät Gesundheit, Sicherheit, Gesellschaft, Hochschule Furtwangen University, Robert-Gerwig-Platz 1, 78120, Furtwangen, Germany. lena.schmidt.0493@gmail.com., Shokraneh F; University of Nottingham, Nottingham, UK.; Institute of Mental Health, University of Nottingham Innovation Park, Jubilee Campus, Triumph Road, Nottingham, NG7 2TU, UK., Steinhausen K; Fakultät Gesundheit, Sicherheit, Gesellschaft, Hochschule Furtwangen University, Robert-Gerwig-Platz 1, 78120, Furtwangen, Germany., Adams CE; University of Nottingham, Nottingham, UK.; Institute of Mental Health, University of Nottingham Innovation Park, Jubilee Campus, Triumph Road, Nottingham, NG7 2TU, UK.
Source:
Systematic reviews [Syst Rev] 2019 Jun 26; Vol. 8 (1), pp. 151. Date of Electronic Publication: 2019 Jun 26.
Publication Type:
Letter; Research Support, Non-U.S. Gov't
Language:
English
Journal Info:
Publisher: BioMed Central Country of Publication: England NLM ID: 101580575 Publication Model: Electronic Cited Medium: Internet ISSN: 2046-4053 (Electronic) Linking ISSN: 20464053 NLM ISO Abbreviation: Syst Rev Subsets: MEDLINE
Imprint Name(s):
Original Publication: London : BioMed Central
MeSH Terms:
Natural Language Processing* , Software* , Systematic Reviews as Topic*, Automation/*methods, Humans
References:
Syst Rev. 2017 Oct 17;6(1):206. (PMID: 29041959)
BMJ. 2018 Jul 30;362:k3229. (PMID: 30061322)
Contributed Indexing:
Keywords: Automatic document classification; Automation; Data extraction; Document classification; NLP; Natural language processing; RevMan; Review Manager; Systematic reviews; XML
Entry Date(s):
Date Created: 20190628 Date Completed: 20200727 Latest Revision: 20231012
Update Code:
20250114
PubMed Central ID:
PMC6595567
DOI:
10.1186/s13643-019-1070-0
PMID:
31242929
Database:
MEDLINE

Weitere Informationen

Background: Much effort is made to ensure Cochrane reviews are based on reliably extracted data. There is a commitment to wide access to these data-for novel processing and/or reuse-but delivering this access is problematic.
Aim: To describe a proof-of-concept programme to extract, curate and structure data from Cochrane reviews.
Methods: One student of Applied Sciences (16 weeks full time), access to pre-publication review files and use of 'Eclipse' to create an open-access tool (RAPTOR) using the programming language Java.
Results: The final software batch processes hundreds of reviews in seconds, extracting all study data and automatically tidying and unifying presentation of data for return into the source review, reuse, or export for novel analyses.
Conclusions: This software, despite being limited, illustrates how the efforts of reviewers meticulously extracting study data can be improved, disseminated and reused with little additional effort.