Evidence map›Paper›PMID 39593005›Full record

ArticleBMC infectious diseases2024

Clinical characteristics and booster vaccine effectiveness of the Omicron variant.

Lijun Sun, Biye Zhou, Yijia Guo, Yunfei Huang, Zihui Tang, Zhaojun Wu, Yuwei Li, Liping Zhao, Yi Shan, Xiaolong Xu and 1 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. Not yet cited in PubMed.

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

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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.

Lijun Sun *Beijing Key Lab of Regenerative Medicine in Orthopedics, Key Laboratory of Musculoskeletal Trauma & War Injuries PLA, The Fourth Medical Center of Chinese PLA General Hospital, Beijing, 100048, China.
Biye Zhou *The Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China.
Yijia Guo *Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Yunfei HuangCollege of Life Science and Technology, Beijing University of Chemical Technology, Beijing, 100029, China.
Zihui TangThe North Campus of the Fifth Medical Center of the General Hospital of the People's Liberation Army, Beijing, 100039, China.
Zhaojun WuBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Yuwei LiBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Liping ZhaoBeijing Chest Hospital, Capital Medical University, Beijing, 101149, China.
Yi Shan *The Sixth Medical Center, Chinese PLA General Hospital, Beijing, 100048, China.
Xiaolong Xu *Beijing Hospital of Traditional Chinese Medicine, Capital Medical University, Beijing, 100010, China.
Hui Jiang *Beijing Chest Hospital, Capital Medical University, Beijing, 101149, China. jianghui_2005@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAlthough many people received the COVID-19 vaccine, shortly after the Chinese government announced that the three-year COVID-19 restrictions were being eased, the first large number of Omicron infections appeared in Beijing. We describe epidemiological characteristics, clinical severity, and time-to-event distribution of patients infected with SARS-CoV-2 in Beijing Omicron outbreak, comparing those who received the booster vaccine with cases of full-course/partial-course vaccines.

methodsWe collected epidemiological, clinical, laboratory, and clinical management data from the hospital information system (HIS) for 1495 cases during Dec 2022-Jan 2023. We also collected illness onset time, diagnosis time, hospital admission time, and start and end times of each treatment. In addition, we collected the time of vaccination, inoculation times, and type of COVID-19 vaccination thorough the vaccination system. We described the epidemiological characteristics across vaccine inoculation doses, and estimated the risk of death, mechanical ventilation, and admission to the intensive care unit for patients admitted to hospital. We used the Kaplan-Meier method to estimate the survival rate and plot the survival curve, and the Cox proportional hazards model to assess the effect of covariates on survival time.

resultsOf the 1495 cases, 58.1% were male. The median ages in the non-vaccinated and vaccinated groups were 80 and 47 years. Elderly with underlying medical conditions and lower BMI less willing to vaccinate(p < 0.05). Both the inactivated vaccine and adenovirus vaccine could reduce clinical severity and prolong survival time, and the protective effect of booster vaccination was the best. The clinical severity increased linearly from the booster vaccinated group to the full-course vaccinated group and non-vaccinated groups, and the death risk of COVID-19 cases without vaccination was the highest.

conclusionBooster vaccines of COVID-19 can provide greater protection against severe illness and death, and continuous monitoring and regular assessment are needed to minimize the risk of a recurrence of the pandemic.

Indexed as

COVID-19COVID-19 VaccinesImmunization, SecondarySARS-CoV-2Vaccine EfficacyAdolescentAdultAgedAged, 80 and overChinaFemaleHospitalizationHumansMaleMiddle AgedVaccinationCOVID-19 VaccinesClinical characteristicsCOVID-19EffectivenessVaccine

Identifiers

PMID39593005
PMCPMC11600739

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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.