Evidence map›Paper›PMID 38887242›Full record

ArticleFrontiers in public health2024

Excess multi-cause mortality linked to influenza virus infection in China, 2012-2021: a population-based study.

Tian-Lu Yin, Ning Chen, Jin-Yao Zhang, Shuang Yang, Wei-Min Li, Xiao-Huan Gao, Hao-Lin Shi, Hong-Pu Hu

Abstract read
In one paragraph

Article in Frontiers in public health, 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. Article
  3. Review
  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

8 authors.

Tian-Lu YinInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Ning ChenSchool of Public Health, Shanghai Jiaotong University School of Medicine, Shanghai, China.
Jin-Yao ZhangInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Shuang YangInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Wei-Min LiTuberculosis and Thoracic Tumor Research Institute, Beijing Chest Hospital, Beijing, China.
Xiao-Huan GaoMedical College, Hebei Engineering University, Hebei, China.
Hao-Lin ShiInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.
Hong-Pu HuInstitute of Medical Information, Chinese Academy of Medical Sciences & Peking Union Medical College, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objectives: The aim of this study is to estimate the excess mortality burden of influenza virus infection in China from 2012 to 2021, with a concurrent analysis of its associated disease manifestations. Methods: Laboratory surveillance data on influenza, relevant population demographics, and mortality records, including cause of death data in China, spanning the years 2012 to 2021, were incorporated into a comprehensive analysis. A negative binomial regression model was utilized to calculate the excess mortality rate associated with influenza, taking into consideration factors such as year, subtype, and cause of death. Results: There was no evidence to indicate a correlation between malignant neoplasms and any subtype of influenza, despite the examination of the effect of influenza on the mortality burden of eight diseases. A total of 327,520 samples testing positive for influenza virus were isolated between 2012 and 2021, with a significant decrease in the positivity rate observed during the periods of 2012-2013 and 2019-2020. China experienced an average annual influenza-associated excess deaths of 201721.78 and an average annual excess mortality rate of 14.53 per 100,000 people during the research period. Among the causes of mortality that were examined, respiratory and circulatory diseases (R&C) accounted for the most significant proportion (58.50%). Fatalities attributed to respiratory and circulatory diseases exhibited discernible temporal patterns, whereas deaths attributable to other causes were dispersed over the course of the year. Conclusion: Theoretically, the contribution of these disease types to excess influenza-related fatalities can serve as a foundation for early warning and targeted influenza surveillance. Additionally, it is possible to assess the costs of prevention and control measures and the public health repercussions of epidemics with greater precision.

Indexed as

Cause of DeathInfluenza, HumanAdolescentAdultAgedChildChild, PreschoolChinaFemaleHumansInfantMaleMiddle AgedPopulation SurveillanceYoung Adultburden of diseaseChinaepidemic diseaseexcess mortalityinfluenzanegative binomial regression modelprevention strategy

Identifiers

PMID38887242
PMCPMC11182332

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

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.