Evidence map›Paper›PMID 33822809›Full record

Trial reportPloS one2021

Seroprevalence of anti-SARS-CoV-2 antibodies in Japanese COVID-19 patients.

Makoto Hiki, Yoko Tabe, Tomohiko Ai, Yuya Matsue, Norihiro Harada, Kiichi Sugimoto, Yasushi Matsushita, Masakazu Matsushita, Mitsuru Wakita, Shigeki Misawa and 5 more

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
0.7field-weighted citation impact, top 27% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 11 citations in OpenAlex.

  1. Inferring the true number of SARS-CoV-2 infections in Japan.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2022
    Pooled it
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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

15 authors at 2 institutions in 1 country.

Makoto HikiDepartment of Emergency Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Yoko TabeDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Tomohiko AiDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Yuya MatsueDepartment of Cardiovascular Biology and Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Norihiro HaradaDepartment of Respiratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-0962-5731
Kiichi SugimotoDepartment of Coloproctological Surgery, Juntendo University Faculty of Medicine, Tokyo, Japan.
Yasushi MatsushitaDepartment of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0002-9162-8973
Masakazu MatsushitaDepartment of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Mitsuru WakitaDepartment of Clinical Laboratory, Juntendo University Hospital, Juntendo University Faculty of Medicine, Tokyo, Japan.
Shigeki MisawaDepartment of Clinical Laboratory, Juntendo University Hospital, Juntendo University Faculty of Medicine, Tokyo, Japan.
Mayumi IdeiDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Takashi MiidaDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Naoto TamuraDepartment of Internal Medicine and Rheumatology, Juntendo University Faculty of Medicine, Tokyo, Japan.
Kazuhisa TakahashiDepartment of Respiratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Toshio NaitoDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.ORCID 0000-0003-1646-9930
Juntendo University · JPJuntendo University Hospital · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesTo determine the seroprevalence of anti-SARS-CoV-2 IgG and IgM antibodies in symptomatic Japanese COVID-19 patients.

methodsSerum samples (n = 114) from 34 COVID-19 patients with mild to critical clinical manifestations were examined. The presence and titers of IgG antibody for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) were determined by a chemiluminescent microparticle immunoassay (CMIA) using Alinity i SARS-CoV-2 IgG and by an immunochromatographic (IC) IgM/IgG antibody assay using the Anti-SARS-CoV-2 Rapid Test.

resultsIgG was detected by the CMIA in 40%, 88%, and 100% of samples collected within 1 week, 1-2 weeks, and 2 weeks after symptom onset in severe and critical cases, and 0%, 38%, and 100% in mild/moderate cases, respectively. In severe and critical cases, the positive IgG detection rate with the IC assay was 60% within one week and 63% between one and two weeks. In mild/moderate cases, the positive IgG rate was 17% within one week and 63% between one and two weeks; IgM was positive in 80% and 75% of severe and critical cases, and 42% and 88% of mild/moderate cases, respectively. On the CMIA, no anti-SARS-CoV-2 IgG antibodies were detected in COVID-19 outpatients with mild symptoms within 10 days from onset, whereas 50% of samples from severe inpatients were IgG-positive in the same period. The IC assay detected higher IgM positivity earlier from symptom onset in severe and critical cases than in mild/moderate cases.

conclusionsA serologic anti-SARS-CoV-2 antibody analysis can complement PCR for diagnosing COVID-19 14 days after symptom onset.

Indexed as

COVID-19COVID-19 Serological TestingAdultAgedAged, 80 and overAntibodies, ViralFemaleHumansImmunoassayImmunoglobulin GImmunoglobulin MJapanMaleMiddle AgedSARS-CoV-2Antibodies, ViralImmunoglobulin GImmunoglobulin M

Identifiers

PMID33822809
PMCPMC8023454
OpenAlexW3141573920

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.