Evidence map›Paper›PMID 38622888›Full record

ArticleHuman vaccines & immunotherapeutics2024

SARS-CoV-2 seroprevalence among healthcare workers in a highly vaccinated Japanese medical center from 2020-2023.

Yan Yan, Kanami Ito, Hiroshi Fukuda, Shuko Nojiri, Wataru Urasaki, Takamasa Yamamoto, Yuki Horiuchi, Satoshi Hori, Kazuhisa Takahashi, Toshio Naito and 1 more

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

Article in Human vaccines & immunotherapeutics, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.8field-weighted citation impact, top 31% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Article
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

11 authors at 3 institutions in 1 country.

Yan YanDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Kanami ItoDepartment of Safety and Health Promotion, Juntendo University, Tokyo, Japan.
Hiroshi FukudaDepartment of General Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Shuko NojiriMedical Technology Innovation Center, Juntendo University, Tokyo, Japan.
Wataru UrasakiClinical Research and Trial Center, Juntendo University, Tokyo, Japan.
Takamasa YamamotoDepartment of Clinical Laboratory, Juntendo University Hospital, Tokyo, Japan.
Yuki HoriuchiDepartment of Clinical Laboratory Medicine, Juntendo University Faculty of Medicine, Tokyo, Japan.
Satoshi HoriInfection Control Science, Juntendo University Graduate School 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
Yoko TabeDepartment of Clinical Laboratory, Juntendo University Hospital, Tokyo, Japan.
Juntendo University · JPJuntendo University Hospital · JPTokyo University of Science · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Infection-induced SARS-CoV-2 seroprevalence has been studied worldwide. At Juntendo University Hospital (JUH) in Tokyo, Japan, we have consistently conducted serological studies using the blood residue of healthcare workers (HCWs) at annual health examinations since 2020. In this 2023 study (

Indexed as

COVID-19SARS-CoV-2Antibodies, ViralHealth PersonnelHospitals, UniversityHumansJapanSeroepidemiologic StudiesAntibodies, ViralCOVID-19healthcare workerJapanmRNA vaccineSARS-CoV-2seropositive

Identifiers

PMID38622888
PMCPMC11027999
OpenAlexW4394853444

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.