Evidence map›Paper›PMID 33504067›Full record

ArticleMicroorganisms2021

Diagnostic Efficiency of Three Fully Automated Serology Assays and Their Correlation with a Novel Surrogate Virus Neutralization Test in Symptomatic and Asymptomatic SARS-COV-2 Individuals.

Salma Younes, Hadeel Al-Jighefee, Farah Shurrab, Duaa W Al-Sadeq, Nadin Younes, Soha R Dargham, Nader Al-Dewik, Hamda Qotba, Mohamed Syed, Ahmed Alnuaimi and 4 more

Open access · goldAbstract read
In one paragraph

Article in Microorganisms, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
2.5field-weighted citation impact, top 9% 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

21 citing papers in PubMed, 44 citations in OpenAlex.

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  9. Performance evaluation of novel fluorescent-based lateral flow immunoassay (LFIA) for rapid detection and quantification of total anti-SARS-CoV-2 S-RBD binding antibodies in infected individuals.International journal of infectious diseases : IJID : official publication of the International Society for Infectious Diseases · 2022
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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

14 authors at 5 institutions in 2 countries.

Salma YounesBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Hadeel Al-JighefeeBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Farah ShurrabBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Duaa W Al-SadeqBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Nadin YounesBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.
Soha R DarghamInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha P.O. Box 24144, Qatar.
Nader Al-DewikClinical and Metabolic Genetics Section, Pediatrics Department, Hamad General Hospital (HGH), Hamad Medical Corporation, Doha P.O. Box 3050, Qatar.
Hamda QotbaDepartment of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar.ORCID 0000-0001-9431-6871
Mohamed SyedDepartment of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar.
Ahmed AlnuaimiDepartment of Clinical Research, Primary Health Care Centers, Doha P.O. Box 26555, Qatar.
Hadi M YassineBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0001-7592-2788
Patrick TangDepartment of Pathology, Sidra Medicine, Doha P.O. Box 26999, Qatar.ORCID 0000-0003-1583-5484
Laith J Abu-RaddadInfectious Disease Epidemiology Group, Weill Cornell Medicine-Qatar, Cornell University, Qatar Foundation-Education City, Doha P.O. Box 24144, Qatar.ORCID 0000-0003-0790-0506
Gheyath K NasrallahBiomedical Research Center, Qatar University, Doha P.O. Box 2713, Qatar.ORCID 0000-0001-9252-1038
Qatar University · QAQatar Airways (Qatar) · QACornell University · USHamad General Hospital · QAWeill Cornell Medical College in Qatar · QA

Funding

Qatar National Research Fund RRC-2-032Qatar University QUERG-CMED-2020-2
6 · The paper itself

Abstract

To support the deployment of serology assays for population screening during the COVID-19 pandemic, we compared the performance of three fully automated SARS-CoV-2 IgG assays: Mindray CL-900i

Indexed as

COVID-19neutralizing antibodiesSARS-CoV-2sensitivityserologyspecificitysurrogate virus neutralization test (sVNT)

Identifiers

PMID33504067
PMCPMC7912688
OpenAlexW3123969182

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.