Evidence map›Paper›PMID 36992150›Full record

ArticleVaccines2023

Protective Effect of Inactivated COVID-19 Vaccines against Omicron BA.2 Infection in Guangzhou: A Test-Negative Case-Control Real-World Study.

Dingmei Zhang, Jiayi Zhong, Husheng Xiong, Yufen Li, Tong Guo, Bo Peng, Chuanjun Fang, Yan Kang, Jinlin Tan, Yu Ma

Open access · goldAbstract read
In one paragraph

Article in Vaccines, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 21% 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

6 citing papers in PubMed, 7 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

10 authors at 4 institutions in 1 country.

Dingmei ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Jiayi ZhongDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.ORCID 0000-0002-7848-0118
Husheng XiongDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yufen LiDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Tong GuoDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Bo PengMicrobiology Laboratory, Shenzhen Center for Disease Control and Prevention, Nanshan District, Shenzhen 518055, China.
Chuanjun FangDepartment of Public Health and Preventive Medicine, School of Medicine, Jinan University, Guangzhou 510632, China.
Yan KangInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Jinlin TanDepartment of Epidemiology, School of Public Health, Sun Yat-sen University, Guangzhou 510080, China.
Yu MaInstitute of Public Health, Guangzhou Medical University & Guangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Sun Yat-sen University · CNGuangzhou Center for Disease Control and Prevention · CNJinan University · CNShenzhen Center for Disease Control and Prevention · CN

Funding

Guangdong Natural Science Foundation Project 2022A1515011012
6 · The paper itself

Abstract

This study aims to explore the relationship between the doses of inactivated COVID-19 vaccines received and SARS-CoV-2 Omicron infection in the real-world setting, so as to preliminarily evaluate the protective effect induced by COVID-19 vaccination. We conducted a test-negative case-control study and recruited the test-positive cases and test-negative controls in the outbreak caused by Omicron BA.2 in April 2022 in Guangzhou, China. All the participants were 3 years and older. The vaccination status between the case group and the control group was compared in the vaccinated and all participants, respectively, to estimate the immune protection of inactivated COVID-19 vaccines. After adjusting for sex and age, compared with a mere single dose, full vaccination of inactivated COVID-19 vaccines (OR = 0.191, 95% CI: 0.050 to 0.727) and booster vaccination (OR = 0.091, 95% CI: 0.011 to 0.727) had a more superior protective effect. Compared with one dose, the second dose was more effective in males (OR = 0.090), as well as two doses (OR = 0.089) and three doses (OR = 0.090) among individuals aged 18-59. Whereas, when compared with the unvaccinated, one dose (OR = 7.715, 95% CI: 1.904 to 31.254) and three doses (OR = 2.055, 95% CI: 1.162 to 3.635) could contribute to the increased risk of Omicron infection after adjusting for sex and age. Meanwhile, by contrast with unvaccinated individuals, the result of increased risk was also manifested in the first dose in males (OR = 12.400) and one dose (OR = 21.500), two doses (OR = 1.890), and a booster dose (OR = 1.945) in people aged 18-59. In conclusion, the protective effect of full and booster vaccination with inactivated COVID-19 vaccines exceeded the incomplete vaccination, of which three doses were more effective. Nevertheless, vaccination may increase the risk of Omicron infection compared with unvaccinated people. This may result from the transmission traits of BA.2, the particularity and stronger protection awareness of the unvaccinated population, as well as the ADE effect induced by the decrease of antibody titers after a long time of vaccination. It is crucial to explore this issue in depth for the formulation of future COVID-19 vaccination strategies.

Indexed as

inactivated COVID-19 vaccinesOmicron infectionprotective effectvaccination status

Identifiers

PMID36992150
PMCPMC10053421
OpenAlexW4322741427

What OpenQuestion holds

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LicenceCC BY
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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.