Evidence map›Paper›PMID 35100295›Full record

ArticlePloS one2022

Assessing the performance of a serological point-of-care test in measuring detectable antibodies against SARS-CoV-2.

Peter V Coyle, Reham Awni El Kahlout, Soha R Dargham, Hiam Chemaitelly, Mohamed Ali Ben Hadj Kacem, Naema Hassan Abdulla Al-Mawlawi, Imtiaz Gilliani, Nourah Younes, Zaina Al Kanaani, Abdullatif Al Khal and 14 more

Abstract read
In one paragraph

Article in PloS one, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
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

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

24 authors.

Peter V CoyleHamad Medical Corporation, Doha, Qatar.
Reham Awni El KahloutHamad Medical Corporation, Doha, Qatar.
Soha R DarghamInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.
Hiam ChemaitellyInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.ORCID 0000-0002-8756-6968
Mohamed Ali Ben Hadj KacemHamad Medical Corporation, Doha, Qatar.ORCID 0000-0003-4510-4076
Naema Hassan Abdulla Al-MawlawiHamad Medical Corporation, Doha, Qatar.
Imtiaz GillianiHamad Medical Corporation, Doha, Qatar.
Nourah YounesHamad Medical Corporation, Doha, Qatar.
Zaina Al KanaaniHamad Medical Corporation, Doha, Qatar.
Abdullatif Al KhalHamad Medical Corporation, Doha, Qatar.
Einas Al KuwariHamad Medical Corporation, Doha, Qatar.
Andrew JeremijenkoHamad Medical Corporation, Doha, Qatar.
Anvar Hassan KaleeckalHamad Medical Corporation, Doha, Qatar.
Ali Nizar LatifHamad Medical Corporation, Doha, Qatar.
Riyazuddin Mohammad ShaikHamad Medical Corporation, Doha, Qatar.
Hanan F Abdul RahimCollege of Health Sciences, QU Health, Qatar University, Doha, Qatar.
Gheyath K NasrallahBiomedical Research Center, Qatar University, Doha, Qatar.
Hadi M YassineBiomedical Research Center, Qatar University, Doha, Qatar.
Mohamed G Al KuwariPrimary Health Care Corporation, Doha, Qatar.ORCID 0000-0002-9158-5395
Hamad Eid Al RomaihiMinistry of Public Health, Doha, Qatar.
Patrick TangDepartment of Pathology, Sidra Medicine, Doha, Qatar.ORCID 0000-0003-1583-5484
Roberto BertolliniMinistry of Public Health, Doha, Qatar.
Mohamed H Al-ThaniMinistry of Public Health, Doha, Qatar.
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation - Education City, Doha, Qatar.ORCID 0000-0003-0790-0506

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study investigated the performance of a rapid point-of-care antibody test, the BioMedomics COVID-19 IgM/IgG Rapid Test, in comparison with a high-quality, validated, laboratory-based platform, the Roche Elecsys Anti-SARS-CoV-2 assay. Serological testing was conducted on 709 individuals. Concordance metrics were estimated. Logistic regression was used to assess associations with seropositivity. SARS-CoV-2 seroprevalence was 63.5% (450/709; 95% CI 59.8%-67.0%) using the BioMedomics assay and 71.9% (510/709; 95% CI 68.5%-75.2%) using the Elecsys assay. There were 60 discordant results between the two assays, all of which were seropositive in the Elecsys assay, but seronegative in the BioMedomics assay. Overall, positive, and negative percent agreements between the two assays were 91.5% (95% CI 89.2%-93.5%), 88.2% (95% CI 85.1%-90.9%), and 100% (95% CI 98.2%-100%), respectively, with a Cohen's kappa of 0.81 (95% CI 0.78-0.84). Excluding specimens with lower (Elecsys) antibody titers, the agreement improved with overall, positive, and negative percent concordance of 94.4% (95% CI 92.3%-96.1%), 91.8% (95% CI 88.8%-94.3%), and 100% (95% CI 98.2%-100%), respectively, and a Cohen's kappa of 0.88 (95% CI 0.85-0.90). Logistic regression confirmed better agreement with higher antibody titers. The BioMedomics COVID-19 IgM/IgG Rapid Test demonstrated good performance in measuring detectable antibodies against SARS-CoV-2, supporting the utility of such rapid point-of-care serological testing to guide the public health responses and vaccine prioritization.

Indexed as

COVID-19 Serological TestingAdultCOVID-19FemaleHumansImmunoglobulin GImmunoglobulin MMaleMiddle AgedPoint-of-Care TestingQatarSARS-CoV-2Seroepidemiologic StudiesSpike Glycoprotein, CoronavirusYoung AdultImmunoglobulin GImmunoglobulin MSpike Glycoprotein, Coronavirus

Identifiers

PMID35100295
PMCPMC8803198

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.