Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies

Detalhes bibliográficos
Autor(a) principal: Escaldelai,Fernanda Martins Dias
Data de Publicação: 2022
Outros Autores: Escaldelai,Leandro, Bergamaschi,Denise Pimentel
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Revista brasileira de epidemiologia (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421
Resumo: ABSTRACT Objective: To describe the main functions of the “Systematic Review Support” web-based system for removing duplicate articles and aiding eligibility analysis during the process of conducting systematic review studies. Methods: The system was developed based on the incremental build model using the Agile methodology. The software is proprietary source code and was published on a proprietary platform. The architecture of the production environment allows the infrastructure used to increase or decrease according to demand. The system functions are presented with insertion of screenshots of the interfaces of the version for personal computers during the simulation of a systematic review. Results: After importing the files containing the abstracts retrieved from the Pubmed, Embase, and Web of Science databases, the system identifies and removes duplicates for later reading and analysis of title and abstract, a stage which can be performed by one or more reviewers independently. After unblinding of reviewers, the decisions on the eligibility of the studies are compared automatically to help the researchers reach a consensus on any disagreements. Results can be filtered and a PDF produced containing the eligible studies. Conclusion: Version 1.0 of the system is available on the web (sysrev.azurewebsites.net) to assist researchers in the initial stages of systematic reviews.
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spelling Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studiesDatabases, bibliographicCloud computingSystematic reviewSoftwareInformation technologyABSTRACT Objective: To describe the main functions of the “Systematic Review Support” web-based system for removing duplicate articles and aiding eligibility analysis during the process of conducting systematic review studies. Methods: The system was developed based on the incremental build model using the Agile methodology. The software is proprietary source code and was published on a proprietary platform. The architecture of the production environment allows the infrastructure used to increase or decrease according to demand. The system functions are presented with insertion of screenshots of the interfaces of the version for personal computers during the simulation of a systematic review. Results: After importing the files containing the abstracts retrieved from the Pubmed, Embase, and Web of Science databases, the system identifies and removes duplicates for later reading and analysis of title and abstract, a stage which can be performed by one or more reviewers independently. After unblinding of reviewers, the decisions on the eligibility of the studies are compared automatically to help the researchers reach a consensus on any disagreements. Results can be filtered and a PDF produced containing the eligible studies. Conclusion: Version 1.0 of the system is available on the web (sysrev.azurewebsites.net) to assist researchers in the initial stages of systematic reviews.Associação Brasileira de Saúde Coletiva2022-01-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421Revista Brasileira de Epidemiologia v.25 2022reponame:Revista brasileira de epidemiologia (Online)instname:Associação Brasileira de Saúde Coletiva (ABRASCO)instacron:ABRASCO10.1590/1980-549720220030info:eu-repo/semantics/openAccessEscaldelai,Fernanda Martins DiasEscaldelai,LeandroBergamaschi,Denise Pimenteleng2022-10-14T00:00:00Zoai:scielo:S1415-790X2022000100421Revistahttp://www.scielo.br/rbepidhttps://old.scielo.br/oai/scielo-oai.php||revbrepi@usp.br1980-54971415-790Xopendoar:2022-10-14T00:00Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)false
dc.title.none.fl_str_mv Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
title Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
spellingShingle Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
Escaldelai,Fernanda Martins Dias
Databases, bibliographic
Cloud computing
Systematic review
Software
Information technology
title_short Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
title_full Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
title_fullStr Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
title_full_unstemmed Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
title_sort Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
author Escaldelai,Fernanda Martins Dias
author_facet Escaldelai,Fernanda Martins Dias
Escaldelai,Leandro
Bergamaschi,Denise Pimentel
author_role author
author2 Escaldelai,Leandro
Bergamaschi,Denise Pimentel
author2_role author
author
dc.contributor.author.fl_str_mv Escaldelai,Fernanda Martins Dias
Escaldelai,Leandro
Bergamaschi,Denise Pimentel
dc.subject.por.fl_str_mv Databases, bibliographic
Cloud computing
Systematic review
Software
Information technology
topic Databases, bibliographic
Cloud computing
Systematic review
Software
Information technology
description ABSTRACT Objective: To describe the main functions of the “Systematic Review Support” web-based system for removing duplicate articles and aiding eligibility analysis during the process of conducting systematic review studies. Methods: The system was developed based on the incremental build model using the Agile methodology. The software is proprietary source code and was published on a proprietary platform. The architecture of the production environment allows the infrastructure used to increase or decrease according to demand. The system functions are presented with insertion of screenshots of the interfaces of the version for personal computers during the simulation of a systematic review. Results: After importing the files containing the abstracts retrieved from the Pubmed, Embase, and Web of Science databases, the system identifies and removes duplicates for later reading and analysis of title and abstract, a stage which can be performed by one or more reviewers independently. After unblinding of reviewers, the decisions on the eligibility of the studies are compared automatically to help the researchers reach a consensus on any disagreements. Results can be filtered and a PDF produced containing the eligible studies. Conclusion: Version 1.0 of the system is available on the web (sysrev.azurewebsites.net) to assist researchers in the initial stages of systematic reviews.
publishDate 2022
dc.date.none.fl_str_mv 2022-01-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1980-549720220030
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
publisher.none.fl_str_mv Associação Brasileira de Saúde Coletiva
dc.source.none.fl_str_mv Revista Brasileira de Epidemiologia v.25 2022
reponame:Revista brasileira de epidemiologia (Online)
instname:Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron:ABRASCO
instname_str Associação Brasileira de Saúde Coletiva (ABRASCO)
instacron_str ABRASCO
institution ABRASCO
reponame_str Revista brasileira de epidemiologia (Online)
collection Revista brasileira de epidemiologia (Online)
repository.name.fl_str_mv Revista brasileira de epidemiologia (Online) - Associação Brasileira de Saúde Coletiva (ABRASCO)
repository.mail.fl_str_mv ||revbrepi@usp.br
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