Selected article for: "Data extraction and quality assessment"

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_47
    Snippet: is the (which was not peer-reviewed) The copyright holder for this preprint . https: //doi.org/10.1101 //doi.org/10. /2020 of the certainty of the evidence under a well-known system (GRADE). We applied selected methods 291 associated with rapid reviews to streamline the review process, such as the involvement of 292 stakeholders in the development of the review, a non-independent verification of data selection 293 and extraction, and parallelisat.....
    Document: is the (which was not peer-reviewed) The copyright holder for this preprint . https: //doi.org/10.1101 //doi.org/10. /2020 of the certainty of the evidence under a well-known system (GRADE). We applied selected methods 291 associated with rapid reviews to streamline the review process, such as the involvement of 292 stakeholders in the development of the review, a non-independent verification of data selection 293 and extraction, and parallelisation of tasks (that is, to conduct selected activities simultaneously 294 instead of consecutively) [29] . We avoided the use of methods that potentially might affect the 295 quality of the review process, such as those related to limiting the search strategies, the omission 296 of quality assessment of the collected evidence and the narrative synthesis of results [29, 30] . 297

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