Evidence map›Paper›PMID 32452410›Full record

ArticleVirology2020

Association of viral load with serum biomakers among COVID-19 cases.

Fengjuan Shi, Tao Wu, Xiaojuan Zhu, Yiyue Ge, Xiaoyan Zeng, Ying Chi, Xuefei Du, Liguo Zhu, Fengcai Zhu, Baoli Zhu and 2 more

Open access · greenAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Virology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 45 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
45citing papers in PubMed, 4 pooled it
2.3field-weighted citation impact, top 7% 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

45 citing papers in PubMed, 4 syntheses or guidelines pooled it, 94 citations in OpenAlex.

  1. Pooled it
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  16. Contact tracing period and epidemiological characteristics of an outbreak of the SARS-CoV-2 Delta variant in Guangzhou.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

12 authors at 3 institutions in 1 country.

Fengjuan ShiNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Tao WuNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Xiaojuan ZhuNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Yiyue GeNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Xiaoyan ZengNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Ying ChiNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Xuefei DuNanjing Municipal Center for Disease Control and Prevention, Nanjing, 210003, China.
Liguo ZhuNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Fengcai ZhuNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China.
Baoli ZhuCenter for Global Health, School of Public Health, Nanjing Medical University, Nanjing, 211166, China. Electronic address: zhubl@jscdc.cn.
Lunbiao CuiNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China. Electronic address: lbcui@jscdc.cn.
Bin WuNHC Key Laboratory of Enteric Pathogenic Microbiology (Jiangsu Provincial Center for Disease Control and Prevention), Nanjing, 210009, China. Electronic address: jswb@jscdc.cn.
Jiangsu Provincial Center for Disease Control and Prevention · CNNanjing Health and Health Commission · CNNanjing Municipal Center for Disease Control And Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Since SARS-CoV-2 spreads rapidly around the world, data have been needed on the natural fluctuation of viral load and clinical indicators associated with it. We measured and compared viral loads of SARS-CoV-2 from pharyngeal swab, IgM anti-SARS-CoV-2, CRP and SAA from serum of 114 COVID-19 patients on admission. Positive rates of IgM anti-SARS-CoV-2, CRP and SAA were 80.7%, 36% and 75.4% respectively. Among IgM-positive patients, viral loads showed different trends among cases with different severity, While viral loads of IgM-negative patients tended to increase along with the time after onset. As the worsening of severity, the positive rates of CRP and SAA also showed trends of increase. Different CRP/SAA type showed associations with viral loads in patients in different severity and different time after onset. Combination of the IgM and CRP/SAA with time after onset and severity may give suggestions on the viral load and condition judgment of COVID-19 patients.

Indexed as

Viral LoadAdolescentAdultAgedAntibodies, ViralBetacoronavirusBiomarkersChildCoronavirus InfectionsCOVID-19C-Reactive ProteinFemaleHumansImmunoglobulin MMaleMiddle AgedAntibodies, ViralBiomarkersC-Reactive ProteinImmunoglobulin MSerum Amyloid A ProteinCOVID-19C-reactive proteinIgMSARS-CoV-2Serum amyloid aViral load

Identifiers

PMID32452410
PMCPMC7192122
OpenAlexW3021986834

What OpenQuestion holds

Textmetadata
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.