Evidence map›Paper›PMID 36960731›Full record

ArticleEpidemiology and infection2023

Cumulative and undiagnosed SARS-CoV-2 infection among the staff of a medical research centre in Tokyo after the emergence of variants.

Tetsuya Mizoue, Shohei Yamamoto, Yusuke Oshiro, Natsumi Inamura, Takashi Nemoto, Kumi Horii, Kaori Okudera, Maki Konishi, Mitsuru Ozeki, Haruhito Sugiyama and 3 more

Open access · goldAbstract read
In one paragraph

Article in Epidemiology and infection, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed, 1 pooled it
2.3field-weighted citation impact, top 12% 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

5 citing papers in PubMed, 1 synthesis or guideline pooled it, 12 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. 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

13 authors at 1 institution in 1 country.

Tetsuya MizoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Shohei YamamotoDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.ORCID 0000-0001-6503-8577
Yusuke OshiroDepartment of Laboratory Testing, Center Hospital of the National Center for the Global Health and Medicine, Tokyo, Japan.
Natsumi InamuraDepartment of Laboratory Testing, Center Hospital of the National Center for the Global Health and Medicine, Tokyo, Japan.
Takashi NemotoDepartment of Laboratory Testing, Center Hospital of the National Center for the Global Health and Medicine, Tokyo, Japan.
Kumi HoriiInfection Control Office, Center Hospital of the National Center for the Global Health and Medicine, Tokyo, Japan.
Kaori OkuderaInfection Control Office, Kohnodai Hospital of the National Center for the Global Health and Medicine, Chiba, Japan.
Maki KonishiDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Mitsuru OzekiDepartment of Laboratory Testing, Center Hospital of the National Center for the Global Health and Medicine, Tokyo, Japan.
Haruhito SugiyamaCenter Hospital of the National Center for the Global Health and Medicine, Tokyo, Japan.
Nobuyoshi AoyanagiKohnodai Hospital of the National Center for the Global Health and Medicine, Chiba, Japan.
Wataru SugiuraCenter for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
National Center for Global Health and Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To describe the trend of cumulative incidence of coronavirus disease 19 (COVID-19) and undiagnosed cases over the pandemic through the emergence of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) variants among healthcare workers in Tokyo, we analysed data of repeated serological surveys and in-house COVID-19 registry among the staff of National Center for Global Health and Medicine. Participants were asked to donate venous blood and complete a survey questionnaire about COVID-19 diagnosis and vaccine. Positive serology was defined as being positive on Roche or Abbott assay against SARS-CoV-2 nucleocapsid protein, and cumulative infection was defined as either being seropositive or having a history of COVID-19. Cumulative infection has increased from 2.0% in June 2021 (pre-Delta) to 5.3% in December 2021 (post-Delta). After the emergence of the Omicron, it has increased substantially during 2022 (16.9% in June and 39.0% in December). As of December 2022, 30% of those who were infected in the past were not aware of their infection. Results indicate that SARS-CoV-2 infection has rapidly expanded during the Omicron-variant epidemic among healthcare workers in Tokyo and that a sizable number of infections were undiagnosed.

Indexed as

Biomedical ResearchCOVID-19COVID-19 TestingHumansPandemicsSARS-CoV-2TokyoCOVID-19healthcare workersJapanSARS-CoV-2seroprevalence

Identifiers

PMID36960731
PMCPMC10063865
OpenAlexW4323569103

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.