Evidence map›Paper›PMID 37023035›Full record

ArticlePloS one2023

Underlying medical conditions and anti-SARS-CoV-2 spike IgG antibody titers after two doses of BNT162b2 vaccination: A cross-sectional study.

Jiaqi Li, Takeshi Nakagawa, Masayo Kojima, Akihiko Nishikimi, Haruhiko Tokuda, Kunihiro Nishimura, Jun Umezawa, Shiori Tanaka, Manami Inoue, Norio Ohmagari and 6 more

Abstract read
In one paragraph

Article in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
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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

16 authors.

Jiaqi LiDepartment of Frailty Research, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.ORCID 0000-0002-2201-8290
Takeshi NakagawaDepartment of Social Science, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.ORCID 0000-0001-5533-3169
Masayo KojimaDepartment of Frailty Research, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.
Akihiko NishikimiBiosafety Administration Division, Research Institute, National Center for Geriatrics and Gerontology, Aichi, Japan.ORCID 0000-0001-9497-7557
Haruhiko TokudaDepartment of Clinical Laboratory, Hospital, National Center for Geriatrics and Gerontology, Aichi, Japan.
Kunihiro NishimuraDepartment of Preventive Medicine and Epidemiology, National Cerebral and Cardiovascular Center, Osaka, Japan.
Jun UmezawaDivision of Cohort Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.ORCID 0000-0003-4982-7853
Shiori TanakaDivision of Prevention, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.
Manami InoueDivision of Cohort Research, Institute for Cancer Control, National Cancer Center, Tokyo, Japan.ORCID 0000-0003-1276-2398
Norio OhmagariDisease Control and Prevention Center, National Center for Global Health and Medicine, Tokyo, Japan.
Koushi YamaguchiCenter for Maternal-Fetal, Neonatal and Reproductive Medicine, National Center for Child Health and Development, Tokyo, Japan.
Kazuyoshi TakedaClinical Research & Education Promotion Division, National Center Hospital, National Center of Neurology and Psychiatry, 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
Maki KonishiDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.
Kengo MiyoCenter for Medical Informatics Intelligence, National Center for Global Health and Medicine, Tokyo, Japan.
Tetsuya MizoueDepartment of Epidemiology and Prevention, Center for Clinical Sciences, National Center for Global Health and Medicine, Tokyo, Japan.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Patients with underlying medical conditions are at high risk of developing serious symptoms of the coronavirus disease 2019 than healthy individuals; therefore, it is necessary to evaluate the immune response to vaccination among them to formulate precision and personalized vaccination strategies. However, inconsistent evidence exists regarding whether patients with underlying medical conditions have lower anti-SARS-CoV-2 spike IgG antibody titers. We performed a cross-sectional study enrolling 2762 healthcare workers who received second doses of BNT162b2 vaccination from three medical and research institutes between June and July, 2021. Medical conditions were surveyed by a questionnaire, and spike IgG antibody titers were measured with chemiluminescent enzyme immunoassay using serum collected on the median of 62 days after the second vaccination. Multilevel linear regression model was used to estimate geometric mean and ratio of mean (95% confidence interval, CI) for the presence and absence of medical conditions and treatments. Among all participants (median age, 40 years [interquartile range, 30-50]; male proportion, 29.4%), the prevalence of hypertension, diabetes, chronic lung disease, cardiovascular disease, and cancer was 7.5%, 2.3%, 3.8%, 1.8%, and 1.3%, respectively. Patients with treated hypertension had lower antibody titers than those without hypertension; the multivariable-adjusted ratio of mean (95% CI) was 0.86 (0.76-0.98). Patients with untreated and treated diabetes had lower antibody titers than those without diabetes; the multivariable-adjusted ratio of mean (95% CI) was 0.63 (0.42-0.95) and 0.77 (0.63-0.95), respectively. No substantial difference was observed between the presence or absence of chronic lung disease, cardiovascular disease, or cancer. Patients with untreated hypertension and patients with untreated and treated diabetes had lower spike IgG antibody titers than participants without those medical conditions, suggesting that continuous monitoring of antibody titers and further booster shots could be necessary to maintain adaptive immunity in patients with hypertension or diabetes.

Indexed as

Cardiovascular DiseasesCOVID-19HypertensionAdultAntibodies, ViralBNT162 VaccineCross-Sectional StudiesHumansImmunoglobulin GMaleVaccinationAntibodies, ViralBNT162 VaccineImmunoglobulin G

Identifiers

PMID37023035
PMCPMC10079051

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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.