Evidence map›Paper›PMID 36347859›Full record

ArticleScientific reports2022

Evaluation of commercially available fully automated and ELISA-based assays for detecting anti-SARS-CoV-2 neutralizing antibodies.

Hadeel T Zedan, Hadi M Yassine, Duaa W Al-Sadeq, Na Liu, Hamda Qotba, Eleonora Nicolai, Massimo Pieri, Sergio Bernardini, Laith J Abu-Raddad, Gheyath K Nasrallah

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
3.3field-weighted citation impact, top 6% 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

24 citing papers in PubMed, 35 citations in OpenAlex.

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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

10 authors at 5 institutions in 4 countries.

Hadeel T ZedanDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar.
Hadi M YassineDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar. hyassine@qu.edu.qa.
Duaa W Al-SadeqBiomedical Research Center, Qatar University, P.O. Box 2713, Doha, Qatar.
Na LiuShenzhen Mindray Bio-Medical Electronics Co., Ltd., Shenzhen, China.
Hamda QotbaDepartment of Clinical Research, Primary Health Care Centers, Doha, Qatar.
Eleonora NicolaiDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy.
Massimo PieriDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy.
Sergio BernardiniDepartment of Experimental Medicine, University of Rome Tor Vergata, 00133, Rome, Italy.
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha, Qatar.
Gheyath K NasrallahDepartment of Biomedical Science, College of Health Sciences, QU Health, Qatar University, P.O. Box 2713, Doha, Qatar. gheyath.nasrallah@qu.edu.qa.
Qatar University · QAUniversity of Rome Tor Vergata · ITMindray (China) · CNPrimary Health Care · QAWeill Cornell Medical College in Qatar · QA

Funding

Qatar Foundation UREP28-173-3-057Qatar University RRC-2-032
6 · The paper itself

Abstract

Rapid and accurate measurement of the severe acute respiratory syndrome coronavirus 2 (SARS-CoV2)-specific neutralizing antibodies (nAbs) is paramount for monitoring immunity in infected and vaccinated subjects. The current gold standard relies on pseudovirus neutralization tests which require sophisticated skills and facilities. Alternatively, recent competitive immunoassays measuring anti-SARS-CoV-2 nAbs are proposed as a quick and commercially available surrogate virus neutralization test (sVNT). Here, we report the performance evaluation of three sVNTs, including two ELISA-based assays and an automated bead-based immunoassay for detecting nAbs against SARS-CoV-2. The performance of three sVNTs, including GenScript cPass, Dynamiker, and Mindray NTAb was assessed in samples collected from SARS-CoV-2 infected patients (n = 160), COVID-19 vaccinated individuals (n = 163), and pre-pandemic controls (n = 70). Samples were collected from infected patients and vaccinated individuals 2-24 weeks after symptoms onset or second dose administration. Correlation analysis with pseudovirus neutralization test (pVNT) and immunoassays detecting anti-SARS-CoV-2 binding antibodies was performed. Receiver operating characteristic (ROC) curve analysis was generated to assess the optimal threshold for detecting nAbs by each assay. All three sVNTs showed an excellent performance in terms of specificity (100%) and sensitivity (100%, 97.0%, and 97.1% for GenScript, Dynamiker, and Mindray, respectively) in samples collected from vaccinated subjects. GenScript demonstrated the strongest correlation with pVNT (r = 0.743, R

Indexed as

COVID-19SARS-CoV-2Antibodies, NeutralizingAntibodies, ViralEnzyme-Linked Immunosorbent AssayHumansNeutralization TestsRNA, ViralAntibodies, NeutralizingAntibodies, ViralRNA, Viral

Identifiers

PMID36347859
PMCPMC9643483
OpenAlexW4308573582

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.