Evidence map›Paper›PMID 30274992›Full record

ArticleCMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne2018

Influence of socioeconomic events on cause-specific mortality in urban Shanghai, China, from 1974 to 2015: a population-based longitudinal study.

Shuo Wang, Xiaoyu Du, Xue Han, Fan Yang, Jia Zhao, Hui Li, Mi Li, Hongwei Zhang, Wenbin Liu, Jiahui Song and 1 more

Abstract read
In one paragraph

Article in CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing 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

19 citing papers in PubMed.

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  18. How should we act on the social determinants of health?CMAJ : Canadian Medical Association journal = journal de l'Association medicale canadienne · 2018
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

11 authors.

Shuo WangDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Xiaoyu DuDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Xue HanDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Fan YangDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Jia ZhaoDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Hui LiDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Mi LiDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Hongwei ZhangDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Wenbin LiuDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Jiahui SongDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China.
Guangwen CaoDepartment of Epidemiology (Wang, Du, Yang, M. Li, Zhang, Liu, Song, Cao), Second Military Medical University; Department of Chronic Diseases (Han, Zhao, H. Li), Center for Disease Control and Prevention of Yangpu District, Shanghai, China gcao@smmu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUnderstanding how socioeconomic events influence cause-specific mortality is essential for optimizing disease-control strategies. We characterized long-term trends in cause-specific mortality in a stable population from a very large urban centre.

methodsWe derived population data from 1974 to 2015 on vital status, demographics and causes of death from the death registration system in Yangpu District, Shanghai, China. We examined temporal trends in mortality and assessed the effects of age, period and birth cohort.

resultsOver 41 879 864 person-years of follow-up, we analyzed 290 332 deaths: 3.80% from communicable conditions (group 1), 86.50% from noncommunicable diseases (group 2), and 5.56% from injuries (group 3). Age-standardized mortality decreased after 1988 for group 1 (average annual percentage change [AAPC] -6.7, 95% confidence interval [CI] -9.3 to -4.1), after 1995 for group 2 (AAPC -2.9, 95% CI -3.5 to -2.3), and after 1994 for group 3 (AAPC -5.4, 95% CI -6.3 to -4.5), after improvements in public health and clinical service infrastructure and the removal of polluting industries during the 1980s. We observed increased mortality from group 2 and group 3 causes in those born between 1955 and 1965, a period that included the Great Chinese Famine. Cause-specific mortality risks increased in those born after 1949 for cancer and diabetes only.

interpretationBirth cohorts exposed to extreme starvation in early life had increased premature cause-specific mortality in later life. Decreased cause-specific mortality followed improvements in public health, medical infrastructure and pollution control, but not for cancer or diabetes, likely because of exposure to new risk factors.

Indexed as

AdolescentAdultAgedAged, 80 and overAge DistributionCause of DeathChildChild, PreschoolChinaCommunicable DiseasesFemaleFollow-Up StudiesHumansInfantInfant, NewbornLife Expectancy

Identifiers

PMID30274992
PMCPMC6167223

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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.