Evidence map›Paper›PMID 32681308›Full record

ArticleEuropean journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology2020

Evaluations of the serological test in the diagnosis of 2019 novel coronavirus (SARS-CoV-2) infections during the COVID-19 outbreak.

Dachuan Lin, Lei Liu, Mingxia Zhang, Yunlong Hu, Qianting Yang, Jiubiao Guo, Youchao Dai, Yuzhong Xu, Yi Cai, Xinchun Chen and 2 more

Open access · bronzeAbstract read
In one paragraph

Article in European journal of clinical microbiology & infectious diseases : official publication of the European Society of Clinical Microbiology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 67 papers, 7 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
67citing papers in PubMed, 7 pooled it
2.8field-weighted citation impact, top 5% 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

67 citing papers in PubMed, 7 syntheses or guidelines pooled it, 116 citations in OpenAlex.

  1. Pooled it
  2. A systematic review and meta-analysis of the accuracy of SARS-COV-2 IGM and IGG tests in individuals with COVID-19.Journal of clinical virology : the official publication of the Pan American Society for Clinical Virology · 2022
    Pooled it
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  7. Meta-analysis of diagnostic performance of serological tests for SARS-CoV-2 antibodies up to 25 April 2020 and public health implications.Euro surveillance : bulletin Europeen sur les maladies transmissibles = European communicable disease bulletin · 2020
    Pooled it
  8. Article
  9. Review
  10. Review
  11. Article
  12. Article
  13. COVID-19 diagnostics: Molecular biology to nanomaterials.Clinica chimica acta; international journal of clinical chemistry · 2023
    Review
  14. Article
  15. Screening and confirmation tests for SARS-CoV-2: benefits and drawbacks.Beni-Suef University journal of basic and applied sciences · 2023
    Review
  16. Article
  17. Article
  18. Article
  19. SARS-CoV-2 detection methods: A comprehensive review.Saudi journal of biological sciences · 2022
    Review
  20. Article

7 more citing papers are in PubMed but not listed here.

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

12 authors at 2 institutions in 1 country.

Dachuan LinGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China.
Lei LiuNational Clinical Research Center for Infectious Diseases, Guangdong Key Lab for Diagnosis &Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China.
Mingxia ZhangNational Clinical Research Center for Infectious Diseases, Guangdong Key Lab for Diagnosis &Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China.
Yunlong HuGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China.
Qianting YangNational Clinical Research Center for Infectious Diseases, Guangdong Key Lab for Diagnosis &Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China.
Jiubiao GuoGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China.
Youchao DaiGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China.
Yuzhong XuDepartment of Clinical Laboratory, Shenzhen Baoan People's Hospital, The Second Affiliated Hospital of Shenzhen University, Shenzhen, China.
Yi CaiGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China.
Xinchun ChenGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China.
Kaisong HuangGuangdong Provincial Key Laboratory of Regional Immunity and Disease, Department of Pathogen Biology, School of Medicine, Shenzhen University, Shenzhen, China. kaisong@szu.edu.cn.ORCID http://orcid.org/0000-0001-5544-3042
Zheng ZhangNational Clinical Research Center for Infectious Diseases, Guangdong Key Lab for Diagnosis &Treatment of Emerging Infectious Diseases, Shenzhen Third People's Hospital, Southern University of Science and Technology, Shenzhen, China. zhangzheng1975@aliyun.com.
Shenzhen University · CNSouthern University of Science and Technology · CN

Funding

National Natural Science Foundation of China 81802060
6 · The paper itself

Abstract

We developed a chemiluminescence immunoassay method based on the recombinant nucleocapsid antigen and assessed its performance for the clinical diagnosis of severe acute respiratory syndrome coronavirus (SARS-CoV)-2 infections by detecting SARS-CoV-2-specific IgM and IgG antibodies in patients. Full-length recombinant nucleocapsid antigen and tosyl magnetic beads were used to develop the chemiluminescence immunoassay approach. Plasmas from 29 healthy cohorts, 51 tuberculosis patients, and 79 confirmed SARS-CoV-2 patients were employed to evaluate the chemiluminescence immunoassay method performance for the clinical diagnosis of SARS-CoV-2 infections. A commercial ELISA kit (Darui Biotech, China) using the same nucleocapsid antigen was used for the in-parallel comparison with our chemiluminescence immunoassay method. The IgM and IgG manner of testing in the chemiluminescence immunoassay method showed a sensitivity and specificity of 60.76% (95% CI 49.1 to 71.6) and 92.25% (95% CI 83.4 to 97.2) and 82.28% (95% CI 72.1 to 90.0) and 97.5% (95% CI 91.3 to 99.7), respectively. Higher sensitivity and specificity were observed in the chemiluminescence immunoassay method compared with the Darui Biotech ELISA kit. The developed high sensitivity and specificity chemiluminescence immunoassay IgG testing method combined with the RT-PCR approach can improve the clinical diagnosis for SARS-CoV-2 infections and thus contribute to the control of COVID-19 expansion.

Indexed as

PandemicsAdolescentAdultAgedAntibodies, ViralBetacoronavirusCase-Control StudiesChinaClinical Laboratory TechniquesCoronavirus InfectionsCoronavirus Nucleocapsid ProteinsCOVID-19COVID-19 TestingFalse Positive ReactionsFemaleHumansAntibodies, ViralCoronavirus Nucleocapsid ProteinsImmunoglobulin GImmunoglobulin Mnucleocapsid phosphoprotein, SARS-CoV-2Nucleocapsid ProteinsPhosphoproteinsChemiluminescence immunoassayIgM and IgGSARS-CoV-2Serological testing

Identifiers

PMID32681308
PMCPMC7367508
OpenAlexW3043313949

What OpenQuestion holds

Textmetadata
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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.