Evidence map›Paper›PMID 35450897›Full record

SynthesisBMJ open2022

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

Chandrakumar Shanmugam, Michael Behring, Vishwas Luthra, Sixto M Leal, Sooryanarayana Varambally, George J Netto, Upender Manne

Open access · goldAbstract readMeta-Analysis
In one paragraph

Synthesis in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.3field-weighted citation impact, top 42% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed, 3 citations in OpenAlex.

  1. Article
  2. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 2 countries.

Chandrakumar Shanmugam *Pathology, MNR Medical College and Hospital, Sangareddy, Telangana, India.ORCID 0000-0002-4782-4512
Michael Behring *Department of Pathology at UAB, The University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA.
Vishwas LuthraSri Guru Ram Das Institute of Medical Sciences and Research, Amritsar, Punjab, India.ORCID 0000-0002-5867-7781
Sixto M LealDepartment of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Sooryanarayana VaramballyDepartment of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
George J NettoDepartment of Medicine, The University of Alabama at Birmingham, Birmingham, Alabama, USA.
Upender MannePathology, The University of Alabama at Birmingham School of Medicine, Birmingham, Alabama, USA upendermanne@uabmc.edu.ORCID 0000-0002-1545-3032
University of Alabama at Birmingham · USInstitute of Medical Sciences · INMNR Medical College and Hospital · IN

Funding

TRAINING AND CAREER DEVELOPMENTU54CA118948 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI Timiya S Nolan · 2005 to 2026
$26.6M
Cancer Prevention & Control Training ProgramR25CA047888 · NCI · UNIVERSITY OF ALABAMA AT BIRMINGHAM · PI DEMARK-WAHNEFRIED, WENDY, MENESES, KAREN M · 1988 to 2016
$11.2M
NCI NIH HHS R25 CA047888NCI NIH HHS U54 CA118948
6 · The paper itself

Abstract

backgroundAccurate 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.

methodsWe 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.

resultsThe 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.

Indexed as

COVID-19Antibodies, ViralCOVID-19 TestingHumansPandemicsSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralCOVID-19Molecular diagnosticsPublic health

Identifiers

PMID35450897
PMCPMC9023849
OpenAlexW4224304396

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.