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

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.

Saved in:
Bibliographic Details
Main Authors: Escaldelai,Fernanda Martins Dias, Escaldelai,Leandro, Bergamaschi,Denise Pimentel
Format: Digital revista
Language:English
Published: Associação Brasileira de Saúde Coletiva 2022
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421
Tags: Add Tag
No Tags, Be the first to tag this record!
id oai:scielo:S1415-790X2022000100421
record_format ojs
spelling oai:scielo:S1415-790X20220001004212022-10-14Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studiesEscaldelai,Fernanda Martins DiasEscaldelai,LeandroBergamaschi,Denise Pimentel Databases, bibliographic Cloud computing Systematic review Software Information technology 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.info:eu-repo/semantics/openAccessAssociação Brasileira de Saúde ColetivaRevista Brasileira de Epidemiologia v.25 20222022-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421en10.1590/1980-549720220030
institution SCIELO
collection OJS
country Brasil
countrycode BR
component Revista
access En linea
databasecode rev-scielo-br
tag revista
region America del Sur
libraryname SciELO
language English
format Digital
author Escaldelai,Fernanda Martins Dias
Escaldelai,Leandro
Bergamaschi,Denise Pimentel
spellingShingle Escaldelai,Fernanda Martins Dias
Escaldelai,Leandro
Bergamaschi,Denise Pimentel
Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
author_facet Escaldelai,Fernanda Martins Dias
Escaldelai,Leandro
Bergamaschi,Denise Pimentel
author_sort Escaldelai,Fernanda Martins Dias
title Systematic Review Support software system: web-based solution for managing duplicates and screening eligible studies
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
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.
publisher Associação Brasileira de Saúde Coletiva
publishDate 2022
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-790X2022000100421
work_keys_str_mv AT escaldelaifernandamartinsdias systematicreviewsupportsoftwaresystemwebbasedsolutionformanagingduplicatesandscreeningeligiblestudies
AT escaldelaileandro systematicreviewsupportsoftwaresystemwebbasedsolutionformanagingduplicatesandscreeningeligiblestudies
AT bergamaschidenisepimentel systematicreviewsupportsoftwaresystemwebbasedsolutionformanagingduplicatesandscreeningeligiblestudies
_version_ 1756420073747120128