Evidence map›Paper›PMID 34776499›Full record

ArticleJournal of epidemiology2022

Serologic Survey of IgG Against SARS-CoV-2 Among Hospital Visitors Without a History of SARS-CoV-2 Infection in Tokyo, 2020-2021.

Takahiro Sanada, Tomoko Honda, Fumihiko Yasui, Kenzaburo Yamaji, Tsubasa Munakata, Naoki Yamamoto, Makoto Kurano, Yusuke Matsumoto, Risa Kohno, Sakiko Toyama and 19 more

Open access · goldAbstract read
In one paragraph

Article in Journal of epidemiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing papers in PubMed
1.7field-weighted citation impact, top 13% 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

21 citing papers in PubMed, 28 citations in OpenAlex.

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  11. Antibody response to third and fourth BNT162b2 mRNA booster vaccinations in healthcare workers in Tokyo, Japan.Journal of infection and chemotherapy : official journal of the Japan Society of Chemotherapy · 2023
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

29 authors at 7 institutions in 2 countries.

Takahiro SanadaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.ORCID 0000-0002-6362-7762
Tomoko HondaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Fumihiko YasuiDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Kenzaburo YamajiDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Tsubasa MunakataDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Naoki YamamotoDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Makoto KuranoDepartment of Clinical Laboratory, and, Graduate School of Medicine the University of Tokyo Hospital.
Yusuke MatsumotoDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Risa KohnoDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Sakiko ToyamaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Yoshiro KishiMedical & Biological Laboratories Co., Ltd.
Takuro HoribeMedical & Biological Laboratories Co., Ltd.
Yudai KanekoMedical & Biological Laboratories Co., Ltd.
Mayumi KakegawaMedical & Biological Laboratories Co., Ltd.
Kazushige FukuiLaboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo.
Takeshi KawamuraLaboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo.
Wang DamingSuzhou Institute of Biomedical Engineering and Technology Chinese Academy of Sciences.
Chungen QianThe Key Laboratory for Biomedical Photonics of MOE at Wuhan National Laboratory for Optoelectronics - Hubei Bioinformatics & Molecular Imaging Key Laboratory, Systems Biology Theme, Department of Biomedical Engineering, College of Life Science and Technology, Huazhong University of Science and Technology.
Fuzhen XiaReagent R&D Center, Shenzhen YHLO Biotech Co., Ltd.
Fan HeReagent R&D Center, Shenzhen YHLO Biotech Co., Ltd.
Syudo YamasakiResearch Center for Social Science and Medicine, Tokyo Metropolitan Institute of Medical Science.
Atsushi NishidaResearch Center for Social Science and Medicine, Tokyo Metropolitan Institute of Medical Science.
Takayuki HaradaCenter for Medical Research Cooperation, Tokyo Metropolitan Institute of Medical Science.
Masahiko HigaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Yuko TokunagaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Asako TakagiDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.
Masanari ItokawaSchizophrenia Research Project, Tokyo Metropolitan Institute of Medical Science.
Tatsuhiko KodamaLaboratory for Systems Biology and Medicine, Research Center for Advanced Science and Technology, The University of Tokyo.
Michinori KoharaDepartment of Microbiology and Cell Biology, Tokyo Metropolitan Institute of Medical Science.ORCID 0000-0002-2130-5837
Tokyo Metropolitan Institute of Medical Science · JPMedical & Biological Laboratories (Japan) · JPThe University of Tokyo · JPLifetech Scientific (China) · CNChinese Academy of Sciences · CNUniversity of Tokyo Hospital · JPWuhan National Laboratory for Optoelectronics · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTokyo, the capital of Japan, is a densely populated city of >13 million people, so the population is at high risk of epidemic severe acute respiratory coronavirus 2 (SARS-CoV-2) infection. A serologic survey of anti-SARS-CoV-2 IgG would provide valuable data for assessing the city's SARS-CoV-2 infection status. Therefore, this cross-sectional study estimated the anti-SARS-CoV-2 IgG seroprevalence in Tokyo.

methodsLeftover serum of 23,234 hospital visitors was tested for antibodies against SARS-CoV-2 using an iFlash 3000 chemiluminescence immunoassay analyzer (Shenzhen YHLO Biotech, Shenzhen, China) with an iFlash-SARS-CoV-2 IgG kit (YHLO) and iFlash-SARS-CoV-2 IgG-S1 kit (YHLO). Serum samples with a positive result (≥10 AU/mL) in either of these assays were considered seropositive for anti-SARS-CoV-2 IgG. Participants were randomly selected from patients visiting 14 Tokyo hospitals between September 1, 2020 and March 31, 2021. No participants were diagnosed with coronavirus disease 2019 (COVID-19), and none exhibited COVID-19-related symptoms at the time of blood collection.

resultsThe overall anti-SARS-CoV-2 IgG seroprevalence among all participants was 1.83% (95% confidence interval [CI], 1.66-2.01%). The seroprevalence in March 2021, the most recent month of this study, was 2.70% (95% CI, 2.16-3.34%). After adjusting for population age, sex, and region, the estimated seroprevalence in Tokyo was 3.40%, indicating that 470,778 individuals had a history of SARS-CoV-2 infection.

conclusionsThe estimated number of individuals in Tokyo with a history of SARS-CoV-2 infection was 3.9-fold higher than the number of confirmed cases. Our study enhances understanding of the SARS-CoV-2 epidemic in Tokyo.

Indexed as

COVID-19Antibodies, ViralCross-Sectional StudiesHospitalsHumansImmunoglobulin GSARS-CoV-2Seroepidemiologic StudiesTokyoAntibodies, ViralImmunoglobulin GCOVID-19hospital visitorsIgG seroprevalenceSARS-CoV-2Tokyo

Identifiers

PMID34776499
PMCPMC8761565
OpenAlexW3214036604

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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.