Evidence map›Paper›PMID 36878612›Full record

ArticleStroke and vascular neurology2023

Loss of life expectancy due to stroke and its subtypes in urban and rural areas in China, 2005-2020.

Zixin Wang, Wei Liu, Yi Ren, Chen Zhang, Jia Yang, Lijun Wang, Maigeng Zhou, Peng Yin, Junwei Hao, Qingfeng Ma

Open access · goldAbstract read
In one paragraph

Article in Stroke and vascular neurology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed, 2 pooled it
2.6field-weighted citation impact, top 10% 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

10 citing papers in PubMed, 2 syntheses or guidelines pooled it, 12 citations in OpenAlex.

  1. Pooled it
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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

10 authors at 2 institutions in 1 country.

Zixin Wang *Department of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.ORCID 0000-0001-6713-8299
Wei Liu *National Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Yi RenDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Chen ZhangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Jia YangDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China.
Lijun WangNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Maigeng ZhouNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Peng YinNational Center for Chronic and Non-communicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China m.qingfeng@163.com yinpeng@ncncd.chinacdc.cn haojunwei@vip.163.com.
Junwei HaoDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China m.qingfeng@163.com yinpeng@ncncd.chinacdc.cn haojunwei@vip.163.com.
Qingfeng MaDepartment of Neurology, Xuanwu Hospital, Capital Medical University, Beijing, China m.qingfeng@163.com yinpeng@ncncd.chinacdc.cn haojunwei@vip.163.com.
Capital Medical University · CNNational Center for Chronic and Noncommunicable Disease Control and Prevention · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Stroke is characterised by high mortality and disability rate in China. This study aimed to explore the temporal trends in years of life lost (YLL) and loss of life expectancy due to stroke and its subtypes in urban and rural areas in China during 2005-2020. Data were obtained from China National Mortality Surveillance System. Abbreviated life and stroke-eliminated life tables were generated to calculate loss of life expectancy. The YLL and loss of life expectancy due to stroke in urban and rural areas at both national and provincial level during 2005-2020 were estimated. In China, the age-standardised YLL rate due to stroke and its subtypes were higher in rural areas than in urban areas. The YLL rate due to stroke showed a downward trend in both urban and rural residents from 2005 to 2020, decreased by 39.9% and 21.5%, respectively. Loss of life expectancy caused by stroke decreased from 1.75 years to 1.70 years from 2005 to 2020. During which, loss of life expectancy due to intracerebral haemorrhage (ICH) decreased from 0.94 years to 0.65 years, while that of ischaemic stroke (IS) increased from 0.62 years to 0.86 years. A slightly upward trend was observed in loss of life expectancy caused by subarachnoid haemorrhage (SAH), from 0.05 years to 0.06 years. Loss of life expectancy due to ICH and SAH was always higher in rural areas than in urban areas, whereas that of IS was higher in urban areas than in rural areas. Rural males suffered the greatest loss of life expectancy due to ICH and SAH, while the highest loss of life expectancy caused by IS was found in urban females. Furthermore, Heilongjiang (2.25 years), Tibet (2.17 years) and Jilin (2.16 years) were found to have the highest loss of life expectancy caused by stroke in 2020. Loss of life expectancy caused by ICH and SAH was higher in western China, while the disease burden of IS was heavier in northeast China. Stroke remains a major public health problem in China, although the age-standardised YLL rate and loss of life expectancy due to stroke decreased. Evidence-based strategies should be conducted to reduce the premature death burden caused by stroke and prolong life expectancy in Chinese population.

Indexed as

Brain IschemiaIschemic StrokeStrokeSubarachnoid HemorrhageCerebral HemorrhageChinaFemaleHumansLife ExpectancyMaleRural Populationcerebral infarctionhemorrhagestatisticsstroke

Identifiers

PMID36878612
PMCPMC10647878
OpenAlexW4323348591

What OpenQuestion 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 OpenQuestion graph.