Evidence map›Paper›PMID 39208849›Full record

ArticleHuman vaccines & immunotherapeutics2024

Real-world effectiveness of influenza vaccine against medical-attended influenza infection during 2023/24 season in Ili Kazakh Autonomous Prefecture, China: A test-negative, case-control study.

Jia Mi, Juping Wang, Luping Chen, Zihao Guo, Hao Lei, Marc Kc Chong, Jiangatai Talifu, Shengmei Yang, Kamuranni Luotebula, Maierhaba Ablikemu and 9 more

Abstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 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. Review
  2. Article
  3. Observational
  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

19 authors.

Jia MiSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Juping WangIli Kazakh Autonomous Prefecture Center for Disease Control and Prevention, Ili Kazakh Autonomous Prefecture, China.
Luping ChenSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Zihao GuoCUHK SZRI, Shenzhen, China.
Hao LeiSchool of Public Health, Zhejiang University, Hangzhou, China.
Marc Kc ChongCUHK SZRI, Shenzhen, China.
Jiangatai TalifuIli Kazakh Autonomous Prefecture Center for Disease Control and Prevention, Ili Kazakh Autonomous Prefecture, China.
Shengmei YangIli Kazakh Autonomous Prefecture Center for Disease Control and Prevention, Ili Kazakh Autonomous Prefecture, China.
Kamuranni LuotebulaIli Kazakh Autonomous Prefecture Center for Disease Control and Prevention, Ili Kazakh Autonomous Prefecture, China.
Maierhaba AblikemuIli Kazakh Autonomous Prefecture Center for Disease Control and Prevention, Ili Kazakh Autonomous Prefecture, China.
Chunyu MaSchool of Public Health, Tianjin Medical University, Tianjin, China.
Wenli LuSchool of Public Health, Tianjin Medical University, Tianjin, China.
Zhaohui LuoThe Sixth Affiliated Hospital of Xinjiang Medical University, Urumqi, China.
Chuanfa LiuDepartment of Medicine and Therapeutics, Chinese University of Hong Kong, Hong Kong, China.
Shengzhi SunSchool of Public Health, Capital Medical University, Beijing, China.
Jianghong DaiSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Kai WangSchool of Public Health, Xinjiang Medical University, Urumqi, China.
Kailu WangCUHK SZRI, Shenzhen, China.
Shi ZhaoSchool of Public Health, Tianjin Medical University, Tianjin, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

In the post-COVID-19 pandemic era, influenza virus infections continuously lead to a global disease burden. Evaluating vaccine effectiveness against influenza infection is crucial to inform vaccine design and vaccination strategy. In this study, we recruited 1120 patients with influenza-like illness (ILI) who attended fever clinics of 4 sentinel hospitals in the Ili Kazakh Autonomous Prefecture, Xinjiang Uygur Autonomous Region, China, from January 1 to April 7, 2024. Using a test-negative design, we estimated influenza vaccine effectiveness (VE) of 54.7% (95% CrI: 23.7, 73.1) against medical-attended influenza infection, with 62.3% (95% CrI: 29.3, 79.8) against influenza A, and 51.2% (95% CrI: 28.7, 83.0) against influenza B. Despite the moderate VE estimated in this study, influenza vaccination remains the most important approach to prevent influenza at the community level.

Indexed as

Influenza, HumanInfluenza VaccinesVaccine EfficacyAdolescentAdultAgedCase-Control StudiesChildChild, PreschoolChinaCOVID-19FemaleHumansInfantInfluenza A virusInfluenza B virusInfluenza Vaccinesinfluenza-like illnessInfluenza virustest-negative studyvaccine effectiveness

Identifiers

PMID39208849
PMCPMC11364069

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.