Evidence map›Paper›PMID 31474224›Full record

ArticleBMC public health2019

Mortality pattern trends and disparities among Chinese from 2004 to 2016.

Jicun Zhu, Lingling Cui, Kehui Wang, Chen Xie, Nan Sun, Fei Xu, Qixin Tang, Changqing Sun

Abstract read
In one paragraph

Article in BMC public health, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

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  4. Clinical analysis of twenty-one cases of acute ischemic stroke related to Trousseau syndrome.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2024
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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

8 authors.

Jicun ZhuCollege of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
Lingling CuiCollege of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
Kehui WangThe First Affiliated Hospital of Henan University of Traditional Chinese Medicine, People's Road, Zhengzhou, 450000, Henan, People's Republic of China.
Chen XieCollege of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
Nan SunDepartment of Management Information Systems, University of Georgia Terry College of Business Athens, Georgia, 30602, USA.
Fei XuCollege of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
Qixin TangCollege of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, People's Republic of China.
Changqing SunCollege of Public Health, Zhengzhou University, 100 Science Avenue, Zhengzhou, 450001, Henan, People's Republic of China. zzugwsy@163.com.ORCID http://orcid.org/0000-0001-5509-9237

Funding

National Social Science Foundation of China 15BSH043
6 · The paper itself

Abstract

backgroundWith the changes in environmental, medical technique, population structure and national health projects, human mortality rates have undergone great changes all over the world. According to "World Health Statistics 2016: Monitoring Health for the SDGs (Sustainable Development Goals)", we can draw a globally vision about life expectancy and cause of death; also, significant inequality still persists within and among countries. This study was designed to research into the trend of mortality pattern in China, evaluate the disparities of age-specific and disease-specific mortality rates between male and female, and provides a scientific basis for further prevention strategies and policies design.

methodsData from the Chinese Disease Surveillance Points system were used to calculate crude and age-adjusted death rates, annual percent changes (APC) for men and women during 2004 to 2016. Age-standardized mortality rates (ASMR) were performed through the direct method with the World Health Organization's World Standard Population. APC, according to log linear model, was adopted to describe the mortality rate trend. The χ

resultsThe mortality rates of men and women have decreased significantly (P < 0.05) during 2004-2016, and the APC were1.98 and 2.45%, respectively. In 2016, the crude mortality rate (CMR) and ASMR in all causes of death were 658.50 and 490.28 per 100,000 per year, respectively. The 5 leading causes of death were malignant neoplasm, cerebrovascular disease, heart disease, COPD, and accidental injury. The mortality rates of men were higher than that of women in all age groups.

conclusionsThere are severe health gaps and disparities between male and female, and the chronic non-communicable diseases continue to be a serious health threat to Chinese residents.

Indexed as

Health Status DisparitiesAdolescentAdultAgedAge DistributionCause of DeathChildChild, PreschoolChinaFemaleHumansInfantInfant, NewbornMaleMiddle AgedMortalityBurden of diseaseCause of deathHealth disparitiesMorbidity and mortality trendsNon-communicable diseases

Identifiers

PMID31474224
PMCPMC6717976

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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.