Evidence map›Paper›PMID 37006710›Full record

ArticleChina CDC weekly2023

Modeling the Prediction on the Efficacy of a Homologous Third Dose of CoronaVac Against SARS-CoV-2 Omicron BA.1, BA.2, BA.2.12.1, and BA.4/5 - China, 2020-2021.

Xinhua Chen, Xufang Bai, Xinghui Chen, Nan Zheng, Juan Yang, Juanjuan Zhang, Hongjie Yu

Abstract read
In one paragraph

Article in China CDC weekly, 2023. 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. 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

7 authors.

Xinhua ChenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Xufang BaiSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Xinghui ChenSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Nan ZhengSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Juan YangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Juanjuan ZhangSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.
Hongjie YuSchool of Public Health, Fudan University, Key Laboratory of Public Health Safety, Ministry of Education, Shanghai Municipality, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

What is already known about this topic?: Previous studies have reported vaccine efficacy or effectiveness against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) Omicron subvariants for several vaccine platforms. However, there are currently few data on estimates of inactivated platform coronavirus disease 2019 (COVID-19) vaccines, especially against the globally dominant subvariant - Omicron BA.5. What is added by this report?: The study predicts vaccine efficacy against four Omicron subvariants - Omicron BA.1, BA.2, BA.2.12.1, and BA.4/5 - after vaccination with a homologous third dose of CoronaVac across clinical endpoints and age groups. What are the implications for public health practice?: The results suggest that CoronaVac-elicited immunity may not provide adequate protection against Omicron subvariants after the homologous third dose, and a heterologous booster and Omicron-specific vaccination may be alternative strategies.

Indexed as

CoronaVacPredictionSARS-CoV-2 OmicronVaccine efficacy

Identifiers

PMID37006710
PMCPMC10061772

What OpenQuestion holds

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LicenceCC BY-NC-SA
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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.