Evidence map›Paper›PMID 38932296›Full record

ArticleVaccines2024

Have Previous COVID-19 Vaccinations Shaped the Potential Enhancing Infection of Variant Strains?

Husheng Xiong, Xiang Meng, Yanqin Song, Jiayi Zhong, Shuang Liu, Xun Zhu, Xin Ye, Yonghui Zhong, Dingmei Zhang

Abstract read
In one paragraph

Article in Vaccines, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
  2. 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

9 authors.

Husheng XiongDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0001-5667-0036
Xiang MengDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yanqin SongThe Fourth People's Hospital of Foshan City, Foshan 528000, China.
Jiayi ZhongDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-7848-0118
Shuang LiuDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Xun ZhuDepartment of Immunology and Microbiology, Zhongshan School of Medicine, Sun Yat-sen University, Guangzhou 510080, China.
Xin YeTianhe District Center for Disease Control and Prevention, Guangzhou 510630, China.
Yonghui ZhongThe Fourth People's Hospital of Foshan City, Foshan 528000, China.
Dingmei ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.

Funding

Guangdong Natural Science Foundation Project 2022A1515011012Medical Scientific Research Foundation of Guangdong Province B2021011National Natural Science Foundation of China 82341094
6 · The paper itself

Abstract

objectiveThis study aimed to investigate the infection status of Omicron in the population and the association between COVID-19 vaccination and infection with Omicron.

methodsWe conducted a cross-sectional study to openly recruit participants for a survey of SARS-CoV-2 infection by convenience sampling from 1 January to 15 January 2023 after a COVID-19 pandemic swept across China. Additionally, the binary logistic regression model was adopted to evaluate the association between COVID-19 vaccination and the infection outcomes or symptom severity, respectively. Meanwhile, the relations between the vaccination and duration of the symptoms were estimated via ordinal logistic analysis.

resultsOf the 2007 participants, the prevalence of infection with Omicron was 82.9%. Compared with unvaccinated individuals, inactivated COVID-19 vaccination could increase the risk of Omicron infection (OR = 1.942, 95% CI: 1.093-3.448), and the receipt of at least one dose of non-inactivated COVID-19 vaccines was a protective factor against infection (OR = 0.428, 95% CI: 0.226-0.812). By contrast, no relations were observed in COVID-19 vaccination with the symptoms of infection and duration of symptoms (

conclusionsThis cross-sectional study concluded that inactivated COVID-19 vaccination might increase the risk of Omicron infection, which should be a concern during COVID-19 vaccination and the treatment of variant infections in the future, and the receipt of at least one dose of non-inactivated COVID-19 vaccine was a protective factor against infection.

Indexed as

infection statusOmicron variantSARS-CoV-2vaccination

Identifiers

PMID38932296
PMCPMC11209312

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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.