Evidence map›Paper›PMID 35223924›Full record

ArticleFrontiers in medicine2022

Changes in Serum Neutralizing Antibodies Levels During Convalescence of COVID-19 Patients.

Qing-Qing Chen, Lei Gong, Xiao-Min Wu, Ya-Ting Feng, Wan-Rong Luo, Xue Zhou, Yuan Yuan, Jun-Ling Yu, Lan He, Peng Wang and 9 more

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

Article in Frontiers in medicine, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact, top 98% 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

0 citing papers in PubMed, 0 citations in OpenAlex.

No citing paper in PubMed yet.

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

19 authors at 2 institutions in 1 country.

Qing-Qing ChenMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Lei GongMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Xiao-Min WuMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Ya-Ting FengDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Wan-Rong LuoMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Xue ZhouMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Yuan YuanMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Jun-Ling YuMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Lan HeMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Peng WangMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Ying-Lu GeMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Sai HouMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Wei-Wei LiMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Yong SunMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Jia-Bing WuMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Bin SuMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Hai-Feng PanDepartment of Epidemiology and Biostatistics, School of Public Health, Anhui Medical University, Hefei, China.
Jun HeMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Zhi-Rong LiuMicrobiological Laboratory, Anhui Provincial Center for Disease Control and Prevention, Hefei, China.
Anhui Provincial Center for Disease Control and Prevention · CNAnhui Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Detection of serum-specific SARS-CoV-2 antibody has become a complementary means for the identification of coronavirus disease 2019 (COVID-19). As we already know, the neutralizing antibody titers in patients with COVID-19 decrease during the course of time after convalescence, whereas the duration of antibody responses in the convalescent patients has not been defined clearly. In the current study, we collected 148 serum samples from 37 confirmed COVID-19 cases with different disease severities. The neutralizing antibodies (Nabs), IgM and IgG against COVID-19 were determined by CLIA Microparticle and microneutralization assay, respectively. The time duration of serum titers of SARS-CoV-2 antibodies were recorded. Our results indicate that IgG (94.44%) and Nabs (89.19%) can be detected at low levels within 190-266 days of disease onset. The findings can advance knowledge regarding the antibody detection results for COVID-19 patients and provide a method for evaluating the immune response after vaccination.

Indexed as

antibodycohort studyCOVID-19microneutralizationvaccination

Identifiers

PMID35223924
PMCPMC8879838
OpenAlexW4211063529

What OpenQuestion holds

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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.