Meta-analysis of the robustness of COVID-19 diagnostic kit performance during the early pandemic

被引:0
|
作者
Shanmugam, Chandrakumar [1 ]
Behring, Michael [2 ]
Luthra, Vishwas [3 ]
Leal, Sixto M. [4 ]
Varambally, Sooryanarayana [4 ]
Netto, George J. [4 ]
Manne, Upender [5 ]
机构
[1] MNR Med Coll & Hosp, Pathol, Sangareddy, Telangana, India
[2] Univ Alabama Birmingham, Sch Med, Dept Pathol UAB, Birmingham, AL USA
[3] Sri Guru Ram Inst Med Sci & Res, Amritsar, Punjab, India
[4] Univ Alabama Birmingham, Dept Med, Birmingham, AL 35294 USA
[5] Univ Alabama Birmingham, Sch Med, Pathol, Birmingham, AL 35294 USA
来源
BMJ OPEN | 2022年 / 12卷 / 04期
关键词
Public health; COVID-19; Molecular diagnostics; SARS-COV-2;
D O I
10.1136/bmjopen-2021-053912
中图分类号
R5 [内科学];
学科分类号
1002 ; 100201 ;
摘要
Background Accurate detection of SARS-CoV-2 is necessary to mitigate the COVID-19 pandemic. However, the test reagents and assay platforms are varied and may not be sufficiently robust to diagnose COVID-19. Methods We reviewed 85 studies (21 530 patients), published from five regions of the world, to highlight issues involved in the diagnosis of COVID-19 in the early phase of the pandemic. All relevant articles, published up to 31 May 2020, in PubMed, BioRiXv, MedRiXv and Google Scholar, were included. We evaluated the qualitative (9749 patients) and quantitative (10 355 patients) performance of RT-PCR and serologic diagnostic tests for real-world samples, and assessed the concordance (5538 patients) between test performance in meta-analyses. Synthesis of results was done using random effects modelling and bias was evaluated according to QUADAS-2 guidelines. Results The RT-PCR tests exhibited heterogeneity in the primers and reagents used. Of 1957 positive RT-PCR COVID-19 participants, 1585 had positive serum antibody (IgM +/- IgG) tests (sensitivity 0.81, 95% CI 0.66 to 0.90). While 3509 of 3581 participants RT-PCR negative for COVID-19 were found negative by serology testing (specificity 0.98, 95% CI 0.94 to 0.99). The chemiluminescent immunoassay exhibited the highest sensitivity, followed by ELISA and lateral flow immunoassays. Serology tests had higher sensitivity and specificity for laboratory approval than for real-world reporting data. Discussion The robustness of the assays/platforms is influenced by variability in sampling and reagents. Serological testing complements and may minimise false negative RT-PCR results. Lack of standardised assay protocols in the early phase of pandemic might have contributed to the spread of COVID-19.
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