Evidence map›Paper›PMID 32343618›Full record

ArticleHuman vaccines & immunotherapeutics2020

Mortality burden from seasonal influenza in Chongqing, China, 2012-2018.

Li Qi, Qin Li, Xian-Bin Ding, Yuan Gao, Hua Ling, Tian Liu, Yu Xiong, Kun Su, Wen-Ge Tang, Lu-Zhao Feng and 1 more

Open access · hybridAbstract read
In one paragraph

Article in Human vaccines & immunotherapeutics, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 8% of its field
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

17 citing papers in PubMed, 2 syntheses or guidelines pooled it, 28 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. The economic burden of seasonal influenza - China, 2010-2019.Human vaccines & immunotherapeutics · 2026
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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

11 authors at 3 institutions in 1 country.

Li QiState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China.
Qin LiInfectious Disease Control and Prevention Department, Chongqing Municipal Center for Disease Control and Prevention , Chongqing, China.
Xian-Bin DingInfectious Disease Control and Prevention Department, Chongqing Municipal Center for Disease Control and Prevention , Chongqing, China.
Yuan GaoState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China.
Hua LingInfectious Disease Control and Prevention Department, Chongqing Municipal Center for Disease Control and Prevention , Chongqing, China.
Tian LiuInfectious Disease Control and Prevention Department, Jingzhou Center for Disease Control and Prevention , Jingzhou City, Hubei Province, China.
Yu XiongInfectious Disease Control and Prevention Department, Chongqing Municipal Center for Disease Control and Prevention , Chongqing, China.
Kun SuInfectious Disease Control and Prevention Department, Chongqing Municipal Center for Disease Control and Prevention , Chongqing, China.
Wen-Ge TangInfectious Disease Control and Prevention Department, Chongqing Municipal Center for Disease Control and Prevention , Chongqing, China.
Lu-Zhao FengKey Laboratory of Surveillance and Early-warning on Infectious Disease, Division of Infectious Disease, Chinese Center for Disease Control and Prevention , Beijing, China.
Qi-Yong LiuState Key Laboratory of Infectious Disease Prevention and Control, Collaborative Innovation Center for Diagnosis and Treatment of Infectious Diseases, National Institute for Communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention , Beijing, China.
National Institute for Communicable Disease Control and Prevention · CNChinese Center For Disease Control and Prevention · CNJingzhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo estimate influenza-associated excess mortality rates (EMRs) in Chongqing from 2012 to 2018.

methodsWe obtained weekly mortality data for all-cause and four underlying causes of death (circulatory and respiratory disease (CRD), pneumonia and influenza (P&I), chronic obstructive pulmonary disease (COPD) and ischemic heart disease (IDH)), and influenza surveillance data, from 2012 to 2018. A negative-binomial regression model was used to estimate influenza-associated EMRs in two age groups (<65 years and ≥65 years).

resultsIt was estimated that an annual average of 10025 influenza-associated deaths occurred in Chongqing, corresponding to 5.2% of all deaths. The average EMR for all-cause death associated with influenza was 33.5 (95% confidence interval (

conclusionsInfluenza was associated with substantial EMRs in Chongqing, especially among elderly people. Influenza B virus caused a relatively higher excess mortality impact compared with A(H1N1)pdm09 and A(H3N2). It is advisable to optimize future seasonal influenza vaccine reimbursement policy in Chongqing to curb disease burden.

Indexed as

Influenza A Virus, H1N1 SubtypeInfluenza, HumanInfluenza VaccinesAgedChinaHumansInfluenza A Virus, H3N2 SubtypeSeasonsInfluenza Vaccinesburdenexcess mortalityInfluenza

Identifiers

PMID32343618
PMCPMC7482776
OpenAlexW3018621013

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.