Selected article for: "data extraction and international license"
Author: Ingrid Arevalo-Rodriguez; Diana Buitrago-Garcia; Daniel Simancas-Racines; Paula Zambrano-Achig; Rosa del Campo; Agustin Ciapponi; Omar Sued; Laura Martinez-Garcia; Anne Rutjes; Nicola Low; Jose A Perez-Molina; Javier Zamora
Title: FALSE-NEGATIVE RESULTS OF INITIAL RT-PCR ASSAYS FOR COVID-19: A SYSTEMATIC REVIEW
  • Document date: 2020_4_21
    • ID: g8h6trql_12
    Snippet: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for 106 diagnostic test accuracy (DTA) to perform this report [20] . For the development of this systematic 107 review of literature, we used selected methods for the development of rapid reviews, such as a high 108 involvement of stakeholders in the review process (including the definition of the review question), 109 a non-independent verification of dat.....
    Document: We followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) for 106 diagnostic test accuracy (DTA) to perform this report [20] . For the development of this systematic 107 review of literature, we used selected methods for the development of rapid reviews, such as a high 108 involvement of stakeholders in the review process (including the definition of the review question), 109 a non-independent verification of data selection and extraction, and parallelisation of tasks (that is, 110 to perform selected activities simultaneously instead of consecutively). Other review shortcuts and 111 omission of review tasks were not applied. A protocol of this review was published in the Open 112 Science Framework repository for public consultation (https://osf.io/gp38w/). 113 . CC-BY-NC-ND 4.0 International license It is made available under a author/funder, who has granted medRxiv a license to display the preprint in perpetuity.

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