Evidence map›Paper›PMID 39289630›Full record

ArticleBMC infectious diseases2024

Effectiveness of inactivated COVID-19 vaccines in preventing COVID-19-related hospitalization during the Omicron BF.7-predominant epidemic wave in Beijing, China: a cohort study.

Dan Zhao, Ying Sun, Juan Li, Xiaomei Li, Ying Ma, Zhiqiang Cao, Jiaojiao Zhang, Jiaxin Ma, Jia Li, Quanyi Wang and 3 more

Abstract read
In one paragraph

Article in BMC infectious diseases, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
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

13 authors.

Dan Zhao *Beijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Ying Sun *Beijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Juan LiBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Xiaomei LiBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Ying MaBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Zhiqiang CaoBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Jiaojiao ZhangBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Jiaxin MaBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Jia LiBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Quanyi WangBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China.
Luodan SuoBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China. suoluodan2004@163.com.
Daitao ZhangBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China. zdt016@163.com.
Peng YangBeijing Center for Disease Prevention and Control, Beijing Research Center for Respiratory Infectious Diseases, Dongcheng District, Beijing, 100013, China. yangpengcdc@163.com.

Funding

Beijing Natural Science Foundation-Haidian District Joint Fund L212056High Level Public Health Technical Talent Training Plan Xuekedaitouren-01-03
6 · The paper itself

Abstract

backgroundTo estimate vaccine effectiveness(VE) against COVID-19-related hospitalization for inactivated vaccines during the Omicron BF.7-predominant epidemic wave in Beijing, China.

methodsWe recruited a cohort in Beijing on 17 and 18 December 2022, collected status of vaccination and COVID-19-related hospitalization since 1 November 2022 and prospectively followed until 9 January 2023. A Poisson regression model was used to estimate the VE.

results16(1.15%) COVID-19-related hospitalizations were reported in 1391 unvaccinated participants; 7(0.25%) in 2765 participants with two doses, resulting in a VE of 70.89%(95% confidence interval[CI] 26.25 to 87.73); 32(0.27%) in 11,846 participants with three doses, with a VE of 65.25%(95% CI 32.24 to 81.83). The VE of three doses remained above 64% at 1 year or more since the last dose. Elderly people aged ≥ 60 years had the highest hospitalization incidence(0.66%), VE for two doses was 74.11%(95%CI: - 18.42 to 94.34) and VE for three doses was 80.98%(95%CI:52.83 to 92.33). We estimated that vaccination had averted 65,007(95%CI: 12,817 to 97,757) COVID-19-related hospitalizations among people aged ≥ 60 years during the BF.7-predominant period in Beijing.

conclusionInactivated COVID-19 vaccines were effective against COVID-19-related hospitalization, especially for the elderly population who have increased risk of severe disease owing to SARS-CoV-2 infection.

Indexed as

COVID-19COVID-19 VaccinesHospitalizationSARS-CoV-2Vaccine EfficacyVaccines, InactivatedAdolescentAdultAgedAged, 80 and overBeijingChildChinaCohort StudiesFemaleHumansCOVID-19 VaccinesVaccines, InactivatedCohort studyCOVID-19HospitalizationInactivated vaccineVaccine effectiveness

Identifiers

PMID39289630
PMCPMC11406771

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.