Evidence map›Paper›PMID 40765712›Full record

ArticleOpen forum infectious diseases2025

Comparison of Infection-Induced SARS-CoV-2 Seroprevalence Across Large-Scale Residual Samples From Blood Donors, Commercial Laboratories, and Health Checkups in Japan, 2023.

Asuka Nishigaki, Ryo Kinoshita, Shoko Sakuraba, Jun Sugihara, Tadaki Suzuki, Motoi Suzuki, Daisuke Yoneoka

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2025. 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
–field-weighted citation impact
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.

  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

7 authors.

Asuka NishigakiNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Ryo KinoshitaNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.ORCID https://orcid.org/0000-0002-0116-4598
Shoko SakurabaMinistry of Health, Labor and Welfare of Japan, Tokyo, Japan.
Jun SugiharaMinistry of Health, Labor and Welfare of Japan, Tokyo, Japan.
Tadaki SuzukiNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3820-9542
Motoi SuzukiNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.
Daisuke YoneokaNational Institute of Infectious Diseases, Japan Institute for Health Security, Tokyo, Japan.ORCID https://orcid.org/0000-0002-3525-5092

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We compared severe acute respiratory syndrome coronavirus 2 nucleocapsid antibody seroprevalence using 3 types of residual blood samples simultaneously collected in November-December 2023 from blood donors, commercial laboratories, and health checkups. Overall seroprevalence ranged from 53.5% to 58.8%, and notable variations were observed among the 30-39 and 50-59 age groups, highlighting the importance of multisource seroepidemiological surveillance.

Indexed as

COVID-19SARS-CoV-2seroepidemiologyseroprevalencesurveillance

Identifiers

PMID40765712
PMCPMC12321519

What OpenQuestion holds

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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.