Evidence map›Paper›PMID 36229890›Full record

ArticleDiabetology & metabolic syndrome2022

Metabolic syndrome and the immunogenicity of Pfizer-BioNTech vaccine: a cross-sectional study in Japanese healthcare workers.

Dong Van Hoang, Shohei Yamamoto, Ami Fukunaga, Yosuke Inoue, Tetsuya Mizoue, Norio Ohmagari

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
0.3field-weighted citation impact, top 43% 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, 4 citations in OpenAlex.

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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 at 1 institution in 1 country.

Dong Van HoangDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku, Tokyo, Japan. hdongyk97@gmail.com.
Shohei YamamotoDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku, Tokyo, Japan.
Ami FukunagaDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku, Tokyo, Japan.
Yosuke InoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku, Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku, Tokyo, Japan.
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Toyama 1-21-1, Shinjuku, Tokyo, Japan.
National Center for Global Health and Medicine · JP

Funding

Japan Health Research Promotion Bureau Research Fund 2020-B-09NCGM COVID-19 Gift Fund 19K059
6 · The paper itself

Abstract

backgroundThe clustering of metabolic abnormalities may weaken vaccine-induced immunity, but epidemiological data regarding SARS-CoV-2 vaccines are scarce. The present study aimed to examine the cross-sectional association between metabolic syndrome (MetS) and humoral immune response to Pfizer-BioNTech vaccine among the staff of a research center for medical care in Japan.

methodsParticipants were the staff (aged 21-75 years) of the National Center of Global Health and Medicine who had completed the second dose of Pfizer-BioNTech vaccine 1-3 months before the survey. MetS was defined according to the Joint Interim Statement. SARS-CoV-2 spike immunoglobulin G (IgG) antibody was measured using quantitative assays. Multivariable linear regression was used to estimate the geometric mean titers (GMT) and geometric mean ratio (GMR) of IgG titers, relative to MetS status.

resultsOf 946 participants who received the second vaccine dose, 51 (5.4%) had MetS. Those with MetS had a significantly lower IgG titer (GMT 4125; 95% confidence interval [CI], 2885-5896) than those without MetS (GMT 5348; 95% CI, 3914-7309); the GMR was 0.77 (95% CI 0.64-0.93). Taking those having no MetS component as reference, fully adjusted GMR (95% CI) for those having 1, 2, 3 or ≥ 4 components was 1.00 (0.90, 1.11), 0.89 (0.77, 1.04), 0.86 (0.68, 1.10) and 0.61 (0.45, 0.82), respectively (P trend = 0.024).

conclusionResults suggest that having MetS and a greater number of its components are associated with a weaker humoral immune response to the Pfizer-BioNTech vaccine.

Indexed as

JapanMetabolic syndrome; immunogenicityPfizer-BioNTechVaccine

Identifiers

PMID36229890
PMCPMC9556286
OpenAlexW4306155955

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.