Evidence map›Paper›PMID 36123078›Full record

ArticleBMJ open2022

Age-dependent and sex-dependent differences in mortality from influenza-associated cardiovascular diseases among older adults in Shanghai, China: a population-based study.

Shan Jin, Chenyan Jiang, Tian Xia, Zhen Gu, Huiting Yu, Jing Li, Yaxu Zheng, Hao Pan, Jiaying Qiao, Renzhi Cai and 2 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.3field-weighted citation impact, top 41% 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

1 citing paper in PubMed, 2 citations in OpenAlex.

  1. Observational
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

12 authors at 2 institutions in 2 countries.

Shan Jin *Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Chenyan Jiang *Institute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Tian Xia *Institute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Zhen GuInstitute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Huiting YuInstitute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.ORCID 0000-0002-8979-5238
Jing LiRenal Division, Peking University Shenzhen Hospital, Shenzhen, Guangdong, China.
Yaxu ZhengInstitute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Hao PanInstitute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Jiaying QiaoInstitute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Renzhi CaiInstitute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China.
Huanyu WuInstitute of Communicable Diseases Control and Prevention, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China jessicascdc@163.com wuhuanyu@scdc.sh.cn.
Chunfang WangInstitute of Health Information, Shanghai Municipal Center for Disease Control and Prevention, Shanghai, China jessicascdc@163.com wuhuanyu@scdc.sh.cn.ORCID 0000-0003-0513-1109
Taiwan Centers for Disease Control · TWPeking University Shenzhen Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesInfluenza epidemics lead to substantial morbidity and mortality among older adults. This study aimed to analyse and assess the age-specific and sex-specific differences in mortality rates for cardiovascular disease (CVD) associated with influenza in older adults.

designWe obtained weekly data on mortality from CVD in adults≥60 years, categorised into five age groups. We used a quasi-Poisson model and adjusted for long-term and seasonal trends and absolute humidity as confounding factors. The male-to-female ratio (M/F ratio) was an indicator for assessing sex differences.

settingShanghai, China. PARTICIPANT: We analysed 440 107 CVD deaths in adults aged ≥60 years, including 44 913 cases positive for influenza and 1 927 487 outpatient visits for influenza-like illness from 2010 to 2019.

main outcome measuresAge-specific and sex-specific excess CVD mortality rates in older adults for various combinations of CVDs and influenza viruses.

resultsVariations were observed in the excess mortality from CVD, ischaemic heart disease (IHD) and stroke depending on the influenza types/subtypes in different age and sex categories. The ≥85 years group had the highest excess mortality rates per 100 000 persons for CVD, IHD and stroke, while influenza A (H3N2) virus accounted for the highest mortality from CVD, IHD and stroke in people aged ≥65 years. Older men had a significantly lower influenza-associated IHD mortality rate than women, with an M/F ratio of 0.77 (p<0.05).

conclusionsExcess mortality rates for CVDs associated with influenza increased with age in older adults. The risk for influenza-associated IHD mortality was significantly higher in older women than men. Our findings will help implement targeted health strategies, including the promotion of influenza vaccination and early therapeutic intervention for the older population with CVD, to curb the influenza burden effectively.

Indexed as

Cardiovascular DiseasesCoronary Artery DiseaseInfluenza, HumanMyocardial IschemiaStrokeAgedChinaFemaleHumansInfluenza A Virus, H3N2 SubtypeMaleSex CharacteristicsEpidemiologyIschaemic heart diseasePUBLIC HEALTH

Identifiers

PMID36123078
PMCPMC9486318
OpenAlexW4296385126

What Socratic holds

Textmetadata
LicenceCC BY-NC
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 Socratic graph.