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Covidence.

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Title: Covidence.
Authors: Silva, Juan José Serrano1,2 juanjo.serrano.silva@gmail.com, Fernández, Sandra2,3 sandra.fernandez@cnic.es, Rosillo, Nicolás3,4 nicorora93@gmail.com, Bueno, Héctor2,3,5 hbueno@cnic.es
Source: Journal of the Medical Library Association. Jan2026, Vol. 114 Issue 1, p83-85. 3p.
Subjects: Computer software, Database searching, Systematic reviews, Medical research, User interfaces
Abstract: The article focuses on the comparison of leading software tools for conducting systematic reviews and meta-analyses, emphasizing their features, strengths, and limitations. It highlights five primary platforms: Covidence, Rayyan, EPPI-Reviewer, DistillerSR, and RevMan, each catering to different needs and complexities in the review process. Covidence is noted for its user-friendly interface and collaborative features, while Rayyan utilizes artificial intelligence for efficient screening. For more advanced functionalities, EPPI-Reviewer and DistillerSR offer comprehensive automation tools, whereas RevMan is recognized for its data analysis capabilities but lacks robust screening functions. The article underscores the importance of selecting the appropriate software based on specific project requirements to enhance research efficiency and quality. [Extracted from the article]
Copyright of Journal of the Medical Library Association is the property of University of Pittsburgh, University Library System and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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DbLabel: Engineering Source
An: 191905640
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PubType: Academic Journal
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  Data: Covidence.
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  Data: <searchLink fieldCode="AR" term="%22Silva%2C+Juan+José+Serrano%22">Silva, Juan José Serrano</searchLink><relatesTo>1,2</relatesTo><i> juanjo.serrano.silva@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Fernández%2C+Sandra%22">Fernández, Sandra</searchLink><relatesTo>2,3</relatesTo><i> sandra.fernandez@cnic.es</i><br /><searchLink fieldCode="AR" term="%22Rosillo%2C+Nicolás%22">Rosillo, Nicolás</searchLink><relatesTo>3,4</relatesTo><i> nicorora93@gmail.com</i><br /><searchLink fieldCode="AR" term="%22Bueno%2C+Héctor%22">Bueno, Héctor</searchLink><relatesTo>2,3,5</relatesTo><i> hbueno@cnic.es</i>
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+the+Medical+Library+Association%22">Journal of the Medical Library Association</searchLink>. Jan2026, Vol. 114 Issue 1, p83-85. 3p.
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  Data: <searchLink fieldCode="DE" term="%22Computer+software%22">Computer software</searchLink><br /><searchLink fieldCode="DE" term="%22Database+searching%22">Database searching</searchLink><br /><searchLink fieldCode="DE" term="%22Systematic+reviews%22">Systematic reviews</searchLink><br /><searchLink fieldCode="DE" term="%22Medical+research%22">Medical research</searchLink><br /><searchLink fieldCode="DE" term="%22User+interfaces%22">User interfaces</searchLink>
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  Label: Abstract
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  Data: The article focuses on the comparison of leading software tools for conducting systematic reviews and meta-analyses, emphasizing their features, strengths, and limitations. It highlights five primary platforms: Covidence, Rayyan, EPPI-Reviewer, DistillerSR, and RevMan, each catering to different needs and complexities in the review process. Covidence is noted for its user-friendly interface and collaborative features, while Rayyan utilizes artificial intelligence for efficient screening. For more advanced functionalities, EPPI-Reviewer and DistillerSR offer comprehensive automation tools, whereas RevMan is recognized for its data analysis capabilities but lacks robust screening functions. The article underscores the importance of selecting the appropriate software based on specific project requirements to enhance research efficiency and quality. [Extracted from the article]
– Name: AbstractSuppliedCopyright
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  Group: Ab
  Data: <i>Copyright of Journal of the Medical Library Association is the property of University of Pittsburgh, University Library System and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=191905640
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      – Type: doi
        Value: 10.5195/jmla.2026.2262
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      – Code: eng
        Text: English
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        StartPage: 83
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      – SubjectFull: Computer software
        Type: general
      – SubjectFull: Database searching
        Type: general
      – SubjectFull: Systematic reviews
        Type: general
      – SubjectFull: Medical research
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      – SubjectFull: User interfaces
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      – TitleFull: Covidence.
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            – D: 01
              M: 01
              Text: Jan2026
              Type: published
              Y: 2026
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