Evidence map›Paper›PMID 32847504›Full record

ArticleBMC public health2020

Associations of socioeconomic factors with cause-specific Mortality and burden of cardiovascular diseases: findings from the vital registration in urban Shanghai, China, during 1974-2015.

Lijuan Zhang, Qi Li, Xue Han, Shuo Wang, Peng Li, Yibo Ding, Tao Zhang, Jia Zhao, Yifan Chen, Jiluo Liu and 5 more

Abstract read
In one paragraph

Article in BMC public health, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing 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

7 citing papers in PubMed.

  1. Article
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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

15 authors.

Lijuan ZhangShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China.
Qi LiShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China.
Xue HanDivision of Chronic Diseases, Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Shuo WangDivision of Chronic Diseases, Center for Disease Control and Prevention of Hongkou District, Shanghai, China.
Peng LiDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Rd., Yangpu District, Shanghai, 200433, People's Republic of China.
Yibo DingDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Rd., Yangpu District, Shanghai, 200433, People's Republic of China.
Tao ZhangDivision of Chronic Diseases, Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Jia ZhaoDivision of Chronic Diseases, Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Yifan ChenDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Rd., Yangpu District, Shanghai, 200433, People's Republic of China.
Jiluo LiuDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Rd., Yangpu District, Shanghai, 200433, People's Republic of China.
Jue LiShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China.
Xiaojie TanDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Rd., Yangpu District, Shanghai, 200433, People's Republic of China.
Wenbin LiuDepartment of Epidemiology, Second Military Medical University, 800 Xiangyin Rd., Yangpu District, Shanghai, 200433, People's Republic of China.
Rong ZhangDivision of Chronic Diseases, Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Guangwen CaoShanghai East Hospital, Key Laboratory of Arrhythmias, Ministry of Education, Tongji University School of Medicine, Tongji University, Shanghai, 200120, China. gcao@smmu.edu.cn.ORCID http://orcid.org/0000-0002-8094-1278

Funding

National Natural Science Foundation of China 81520108021National Natural Science Foundation of China 81521091National Natural Science Foundation of China 81673250National Natural Science Foundation of China 81872720National Natural Science Foundation of China (CN) 91529305the National Key Basic Research Program (973 program) of China 2015CB554000
6 · The paper itself

Abstract

backgroundCardiovascular disease (CVD) is the leading cause of mortality worldwide. The effect of socioeconomic factors on cause-specific mortality and burden of CVD is rarely evaluated in low- and middle-income countries, especially in a rapidly changing society.

methodsOriginal data were derived from the vital registration system in Yangpu, a representative, population-stable district of urban Shanghai, China, during 1974-2015. Temporal trends for the mortality rates and burden of CVD during 1974-2015 were evaluated using Joinpoint Regression Software. The burden was evaluated using age-standardized person years of life loss per 100,000 persons (SPYLLs). Age-sex-specific CVD mortality rates were predicted by using age-period-cohort Poisson regression model.

resultsA total of 101,822 CVD death occurred during 1974-2015, accounting for 36.95% of total death. Hemorrhagic stroke, ischemic heart disease, and ischemic stroke were the 3 leading causes of CVD death. The age-standardized CVD mortality decreased from 144.5/100,000 to 100.7/100,000 in the residents (average annual percentage change [AAPC] -1.0, 95% confidence interval [CI] -1.7 to - 0.2), which was mainly contributed by women (AAPC -1.3, 95% CI - 2.0 to - 0.7), not by men. Hemorrhagic stroke, the major CVD death in the mid-aged population, decreased dramatically after 1991. The crude mortality of ischemic heart disease kept increasing but its age-adjusted mortality decreased continually after 1997. SPYLLs of CVD death increased from 1974 to 1986 (AAPC 2.1, 95% CI 0.4 to 3.8) and decreased after 1986 (AAPC 1.8, 95% CI - 2.3 to - 1.3). These changes were in concert with the implementation of policies including extended medical insurance coverage, pollution control, active prophylaxis of CVD including lifestyle promotion, and national health programs. The mortality of CVD increased in those born during 1937-1945, a period of the Japanese military occupation, and during 1958-1965, a period including the Chinese Famine. Sequelae of CVD and ischemic heart disease are predicted to be the leading causes of CVD death in 2029.

conclusionsExposure to serious malnutrition in early life might increase CVD mortality in later life. Improvements in medical services, pollution control, and lifestyle could decrease CVD death. New strategy is needed to prevent the aging-related CVD death and burden in the future.

Indexed as

Health Status DisparitiesAdolescentAdultAgedAged, 80 and overCardiovascular DiseasesCause of DeathChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMiddle AgedBurdenCardiovascular diseaseLifestyleLow- and middle-income countriesMalnutritionMedical insuranceMortalityPollution controlSociodemographic index

Identifiers

PMID32847504
PMCPMC7448450

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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.