Evidence map›Paper›PMID 39220659›Full record

ArticleOpen forum infectious diseases2024

Population-Based Influenza Vaccine Effectiveness Against Laboratory-Confirmed Influenza Infection in Southern China, 2023-2024 Season.

Xīn Gào, Yexiang Sun, Peng Shen, Jinxin Guo, Yunpeng Chen, Yueqi Yin, Zhike Liu, Siyan Zhan

Abstract read
In one paragraph

Article in Open forum infectious diseases, 2024. 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
–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

6 citing papers in PubMed.

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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

8 authors.

Xīn GàoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0000-0003-0108-6961
Yexiang SunYinzhou District Center for Disease Control and Prevention, Ningbo, China.ORCID https://orcid.org/0000-0002-7500-7587
Peng ShenYinzhou District Center for Disease Control and Prevention, Ningbo, China.
Jinxin GuoDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-6780-9213
Yunpeng ChenYinzhou District Center for Disease Control and Prevention, Ningbo, China.ORCID https://orcid.org/0000-0002-7191-0605
Yueqi YinYinzhou District Center for Disease Control and Prevention, Ningbo, China.ORCID https://orcid.org/0000-0003-1164-4074
Zhike LiuDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0000-0002-3232-8196
Siyan ZhanDepartment of Epidemiology and Biostatistics, School of Public Health, Peking University, Beijing, China.ORCID https://orcid.org/0000-0003-1654-3678

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: In China, the 2022-2023 influenza season began earlier and was characterized by higher levels of influenza activity and co-circulation of various respiratory pathogens compared with seasons before the coronavirus disease 2019 (COVID-19) pandemic. Timely and precise estimates of influenza vaccine effectiveness (IVE) against infections can be used to guide public health measures. Methods: A test-negative study was conducted to estimate IVE against laboratory-confirmed influenza using data from the CHinese Electronic health Records Research in Yinzhou (CHERRY) study that prospectively integrated laboratory, vaccination, and health administrative data in Yinzhou, southern China. We included patients who presented influenza-like illness and received nucleic acid tests and/or antigen tests between October 2023 and March 2024. Estimates of IVE were adjusted for age, gender, month of specimen submitted, chronic comorbidities, and hospitalization status. Results: A total of 205 028 participants, including 96 298 influenza cases (7.6% vaccinated) and 108 730 influenza-negative controls (13.4% vaccinated), were eligible for this analysis. The estimates of IVE were 49.4% (95% CI, 47.8%-50.9%), 41.9% (95% CI, 39.8%-44.0%), and 59.9% (95% CI, 57.9%-61.9%) against overall influenza, influenza A, and influenza B, respectively. A lower IVE was observed for individuals aged 7-17 years (38.6%), vs 45.8% for 6 months-6 years, 46.7% for 18-64 years, and 46.1% for ≥65 years. Vaccination reduced the risk of infection by 44.4% among patients with chronic comorbidities. IVEs varied by epidemic weeks with the changes in influenza activity levels and the switch of dominant influenza strains. Conclusions: Influenza vaccination in the 2023-2024 season was protective against infection for the entire population.

Indexed as

influenzapost-COVID-19real-world datatest-negative designvaccine effectiveness

Identifiers

PMID39220659
PMCPMC11365065

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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.