Evidence map›Paper›PMID 28415926›Full record

ArticleThe Journal of international medical research2017

Urban and rural stroke mortality rates in China between 1988 and 2013: An age-period-cohort analysis.

Jingjing Li, Boyang Li, Fengfan Zhang, Yang Sun

Abstract read
In one paragraph

Article in The Journal of international medical research, 2017. 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

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3 · Its place in the literature

Who cites it

7 citing papers in PubMed.

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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

4 authors.

Jingjing Li1 Department of Behavioral Sciences and Health Education, Rollins School of Public Health, Emory University, Atlanta, GA, USA.
Boyang Li2 Department of Public Affairs and Management, School of Political Science and Public Administration, Wuhan University, Wuhan, Hubei Province, China.
Fengfan Zhang3 School of Health and Medical Management, Tongji Medical College of Huazhong University of Science and Technology, Wuhan, Hubei Province, China.
Yang Sun2 Department of Public Affairs and Management, School of Political Science and Public Administration, Wuhan University, Wuhan, Hubei Province, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective To evaluate effects attributable to age, time period and birth cohort, on stroke mortality data from urban and rural regions in China between 1988 and 2013. Methods Mortality data were obtained from the Chinese Health Statistics Annual Report (1987-2001) and Chinese Health Statistics Yearbooks (2003-2014). Population data were obtained from population censuses (i.e. 1982, 1990, 2000 and 2010). Data were analysed using an age-period-cohort (APC) model and intrinsic estimation (IE) method. Results The age effect suggested that all older residents had higher stroke mortality risk than younger residents. Period effect showed that compared with figures for 1988, stroke mortality in 2013 was 1.8 times higher for urban regions and 2.4 times higher for rural regions. After controlling for age and period effects, cohorts born before the Chinese economic reform had a steady decline in stroke mortality. However, mortality rates increased and fluctuated in post-reform cohorts. Conclusions This APC-IE analysis identified a modest period effect with large age and cohort contributions to both the overall mortality and the disparity between urban and rural stroke mortality. Identifying early life and cumulative risk factors for stroke, improving equality in stroke prevention and care are needed to reduce the stroke mortality in China.

Indexed as

AdultAgedAge FactorsChinaCohort StudiesFemaleHumansIncidenceRisk FactorsRural PopulationStrokeSurvival AnalysisUrban Populationage-period-cohort analysisChinaintrinsic estimatormortalityruralstrokeurban

Identifiers

PMID28415926
PMCPMC5536664

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