Evidence map›Paper›PMID 36366363›Full record

ArticleVaccines2022

Effect of Vaccination Time Intervals on SARS-COV-2 Omicron Variant Strain Infection in Guangzhou: A Real-World Matched Case-Control Study.

Yufen Li, Tong Guo, Jiayi Zhong, Chuanjun Fang, Husheng Xiong, Zengyun Hu, Yajuan Zhu, Jinlin Tan, Shuang Liu, Qinlong Jing and 1 more

Abstract read
In one paragraph

Article in Vaccines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

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.
Jiayi ZhongDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.ORCID 0000-0002-7848-0118
Chuanjun FangGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Husheng XiongDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Zengyun HuState Key Laboratory of desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi 830011, China.ORCID 0000-0002-4259-9141
Yajuan ZhuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Jinlin TanDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Shuang LiuDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.
Qinlong JingGuangzhou Center for Disease Control and Prevention, Guangzhou 510440, China.
Dingmei ZhangDepartment of Epidemiology, School of Public Health, Sun Yat-Sen University, Guangzhou 510080, China.

Funding

Guangdong Natural Science Foundation Project and Shenzhen science and technology innovations Committee [grant numbers 2022A1515011012] and JCYJ20210324101406019
6 · The paper itself

Abstract

In April 2022, a COVID-19 outbreak caused by the Omicron variant emerged in Guangzhou. A case-control study was conducted to explore the relationship between vaccination intervals and SARS-CoV-2 infection in the real world. According to the vaccination dose and age information of the cases, a 1:4 matched case-control sample was established, finally including n = 242 for the case group and n = 968 for the control group. The results indicated that among the participants who received three vaccine doses, those with an interval of more than 300 days between the receipt of the first vaccine dose and infection (or the first contact with a confirmed case) were less likely to be infected with SARS-CoV-2 than those with an interval of less than 300 days (

Indexed as

breakthrough infectionCOVID-19 vaccine

Identifiers

PMID36366363
PMCPMC9693306

What OpenQuestion holds

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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.