Evidence map›Paper›PMID 40144741›Full record

ArticleGHM open2024

Antibody levels and the risk of SARS-CoV-2 infection during the Omicron surge.

Ayako Sasaki, Tomoka Kadowaki, Naomi Matsumoto, Toshiharu Mitsuhashi, Soshi Takao, Takashi Yorifuji

Abstract read
In one paragraph

Article in GHM open, 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
–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. Review
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

6 authors.

Ayako Sasaki *Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Tomoka Kadowaki *Department of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Naomi MatsumotoDepartment of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Toshiharu MitsuhashiCenter for Innovative Clinical Medicine, Okayama University Hospital, Okayama, Japan.
Soshi TakaoDepartment of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.
Takashi YorifujiDepartment of Epidemiology, Graduate School of Medicine, Dentistry and Pharmaceutical Sciences, Okayama University, Okayama, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We examined the association between antibody titer levels and risk of coronavirus disease 2019 (COVID-19) infection in the general Japanese population, including a total of 1,972 participants between June and September 2022. Specifically, we ascertained participantsIgG antibody titers targeting the spike protein and infection status, and subsequently examined the association between antibody titer categories (< 2,500, 2,500-5,000, 5,000-10,000 and > 10,000 AU/mL) and COVID-19 infection to estimate risk ratios (RR) and their 95% confidence intervals (CI). Compared to the lowest category, the adjusted RR for participants with antibody titers ≥ 10,000 AU/mL was 0.38 (95% CI: 0.20-0.71). The observed non-linear relationship between the titers and the risk of infection showed that the risk decreased as the participant's antibody titer increased, but the slope became milder when the antibody titer reached approximately 10,000 AU/mL. These findings may contribute to the use of an individual's antibody titer to consider appropriate timing of vaccination.

Indexed as

antibody titer categoryCOVID-19general populationspike proteinvaccination

Identifiers

PMID40144741
PMCPMC11933949

What OpenQuestion holds

Textmetadata
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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.