Evidence map›Paper›PMID 32799618›Full record

ArticleEmerging microbes & infections2020

Establishing a high sensitivity detection method for SARS-CoV-2 IgM/IgG and developing a clinical application of this method.

Chunyan Zhang, Lei Zhou, Hao Liu, Sibing Zhang, Yaping Tian, Junli Huo, Fei Li, Yao Zhang, Bo Wei, Dan Xu and 14 more

Open access · goldAbstract read
In one paragraph

Article in Emerging microbes & infections, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
0.6field-weighted citation impact, top 18% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 28 citations in OpenAlex.

  1. Pooled it
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  7. Article
  8. Article
  9. Recent Progress on Rapid Lateral Flow Assay-Based Early Diagnosis of COVID-19.Frontiers in bioengineering and biotechnology · 2022
    Review
  10. Article
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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

24 authors at 4 institutions in 1 country.

Chunyan ZhangChinese PLA General Hospital, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0002-7582-2207
Lei ZhouWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.ORCID https://orcid.org/0000-0002-0600-2387
Hao LiuWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Sibing ZhangChinese PLA General Hospital, Beijing, People's Republic of China.
Yaping TianChinese PLA General Hospital, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0002-8245-3745
Junli HuoWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Fei LiWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Yao ZhangWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Bo WeiWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Dan XuFirst Hospital of Changsha, Changsha, People's Republic of China.
Jinwei HuFirst Hospital of Changsha, Changsha, People's Republic of China.
Jiayi WangWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Yuxuan ChengChinese PLA General Hospital, Beijing, People's Republic of China.
Wenjie ShiChinese PLA General Hospital, Beijing, People's Republic of China.
Xiuli XuBeijing Diagreat Biotechnology Co., Ltd., Beijing, People's Republic of China.
Jianping ZhouBeijing Diagreat Biotechnology Co., Ltd., Beijing, People's Republic of China.
Peipei SangChinese PLA General Hospital, Beijing, People's Republic of China.
Xudong TanChinese PLA General Hospital, Beijing, People's Republic of China.
Weiwei WangChinese PLA General Hospital, Beijing, People's Republic of China.
Minjie ZhangChinese PLA General Hospital, Beijing, People's Republic of China.
Bin WangFirst Hospital of Changsha, Changsha, People's Republic of China.
Yujun ZhouChinese PLA General Hospital, Beijing, People's Republic of China.
Kan ZhangWuhan Huoshenshan Hospital, Wuhan, People's Republic of China.
Kunlun HeChinese PLA General Hospital, Beijing, People's Republic of China.ORCID https://orcid.org/0000-0002-3335-5700
Chinese PLA General Hospital · CNXijing Hospital · CNThe First Hospital of Changsha · CNBeijing VDJBio (China) · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

COVID-19 is caused by SARS-CoV-2 infection and was initially discovered in Wuhan. This outbreak quickly spread all over China and then to more than 20 other countries. SARS-CoV-2 fluorescent microsphere immunochromatographic test strips were prepared by the combination of time-resolved fluorescence immunoassay with a lateral flow assay. The analytical performance and clinical evaluation of this testing method was done and the clinical significance of the testing method was verified. The LLOD of SARS-CoV-2 antibody IgG and IgM was 0.121U/L and 0.366U/L. The specificity of IgM and IgG strips in healthy people and in patients with non-COVID-19 disease was 94%, 96.72% and 95.50%, 99.49%, respectively; and sensitivity of IgM and IgG strips for patients during treatment and follow-up was 63.02%, 37.61% and 87.28%, 90.17%, respectively. The SARS-CoV-2 antibody test strip can provide rapid, flexible and accurate testing, and is able to meet the clinical requirement for rapid on-site testing of virus. The ability to detect IgM and IgG provided a significant benefit for the detection and prediction of clinical course with COVID-19 patients.

Indexed as

Antibodies, ViralCOVID-19COVID-19 Serological TestingFluorescent Antibody TechniqueHumansImmunoglobulin GImmunoglobulin MSARS-CoV-2Sensitivity and SpecificityAntibodies, ViralImmunoglobulin GImmunoglobulin Mdisease evaluationmulti-epitopes fusion proteinprognosisSARS-CoV-2 antibodytime-resolved fluorescence immunoassay

Identifiers

PMID32799618
PMCPMC7534335
OpenAlexW3049713430

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.