Literature DB >> 31145511

Lessons in diagnostic virology: expected and unexpected sources of error.

Gert van Zyl1,2, Jean Maritz1,3, Howard Newman1,2, Wolfgang Preiser1,2.   

Abstract

Viral diagnostics have shown continued innovation, with serological and molecular diagnostic assays pushing the limits of sensitivity. Technology has provided new automated shared diagnostic platforms that reduce hands-on time, while with globalisation of the diagnostic market, commercial assays are applied across epidemiologically diverse settings on different patient and viral populations. However, with these novel developments, new and often unexpected sources of diagnostic error emerge. In this review we will reflect on case studies that highlight these often underappreciated or unexpected diagnostic errors spanning pre-analytical, analytical, and post-analytic processes. We will also suggest approaches that could help identify error and reduce the impact on patient management.
© 2019 John Wiley & Sons, Ltd.

Entities:  

Keywords:  Diagnostic error; molecular assays; serological assays

Mesh:

Year:  2019        PMID: 31145511     DOI: 10.1002/rmv.2052

Source DB:  PubMed          Journal:  Rev Med Virol        ISSN: 1052-9276            Impact factor:   6.989


  5 in total

1.  Bayes Lines Tool (BLT): a SQL-script for analyzing diagnostic test results with an application to SARS-CoV-2-testing.

Authors:  Wouter Aukema; Bobby Rajesh Malhotra; Simon Goddek; Ulrike Kämmerer; Peter Borger; Kevin McKernan; Rainer Johannes Klement
Journal:  F1000Res       Date:  2021-05-10

Review 2.  Challenges in Laboratory Diagnosis of the Novel Coronavirus SARS-CoV-2.

Authors:  Nadin Younes; Duaa W Al-Sadeq; Hadeel Al-Jighefee; Salma Younes; Ola Al-Jamal; Hanin I Daas; Hadi M Yassine; Gheyath K Nasrallah
Journal:  Viruses       Date:  2020-05-26       Impact factor: 5.048

3.  High positive HIV serology results can still be false positive.

Authors:  Joanna Reid; Gert Van Zyl; Michael Linström; Stephen Korsman; Gert Marais; Wolfgang Preiser
Journal:  IDCases       Date:  2020-05-28

4.  Lessons from the COVID-19 Pandemic on the Use of Artificial Intelligence in Digital Radiology: The Submission of a Survey to Investigate the Opinion of Insiders.

Authors:  Daniele Giansanti; Ivano Rossi; Lisa Monoscalco
Journal:  Healthcare (Basel)       Date:  2021-03-15

5.  Role of Chest Computed Tomography versus Real Time Reverse Transcription Polymerase Chain Reaction for Diagnosis of COVID-19: A Systematic Review and Meta-Analysis.

Authors:  Dina M Ali; Lamiaa G Zake; Nevine K El Kady
Journal:  Interdiscip Perspect Infect Dis       Date:  2021-05-28
  5 in total

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