Evidence map›Paper›PMID 37016366›Full record

ArticleBMC public health2023

Mortality trend analysis of ischemic heart disease in China between 2010 and 2019: a joinpoint analysis.

Xiaoli Fu, Jing Wang, Shuai Jiang, Jian Wu, Zihan Mu, Yanyu Tang, Suxian Wang, Hang Fu, He Ma, Yaojun Zhao

Abstract read
In one paragraph

Article in BMC public health, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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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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

16 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

10 authors.

Xiaoli FuDepartment of Health Management of Public Health, Zhengzhou University, Henan, People's Republic of China.
Jing WangDepartment of Health Management of Public Health, Zhengzhou University, Henan, People's Republic of China.
Shuai JiangThe First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
Jian WuDepartment of Health Management of Public Health, Zhengzhou University, Henan, People's Republic of China.
Zihan MuDepartment of Health Management of Public Health, Zhengzhou University, Henan, People's Republic of China.
Yanyu TangDepartment of Health Management of Public Health, Zhengzhou University, Henan, People's Republic of China.
Suxian WangDepartment of Health Management of Public Health, Zhengzhou University, Henan, People's Republic of China.
Hang FuThe First Affiliated Hospital of Zhengzhou University, Henan, People's Republic of China.
He MaHealth Service and Management, Shangzhen College, Henan University of Traditional Chinese Medicine, Henan, People's Republic of China.
Yaojun ZhaoOperation Management Department, Central China Fuwai Hospital, Central China Fuwai Hospital of Zhengzhou University, Henan, People's Republic of China. zhaoyaojun@zzu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThis study presented the mortality trend of ischemic heart disease (IHD) in Chinese residents from 2010 to 2019 and provided a basis for further establishment of relevant interventions.

methodsData, such as sex, age, urban and rural areas, and death status, were extracted from the China Death Surveillance Dataset from 2010 to 2019, with mortality and age-adjusted death rates (AADRs) as the main indicators. The joinpoint regression model was used to analyze mortality and AADRs trends in IHD. A semi-structured expert interview was conducted to propose targeted intervention measures and countermeasures.

resultsWe observed an overall upward trend in IHD mortality rates and AADRs in China from 2010 to 2019 (average annual percentage change [AAPC] = 5.14%, AAPC

conclusionsThe upward trend in IHD mortality in China from 2010 to 2019, especially among female residents aged ≥ 75 years, poses continuing challenges to public health policies and actions.

Indexed as

Myocardial IschemiaAgedChinaEast Asian PeopleFemaleHumansMaleMiddle AgedMortalityRural PopulationUrban PopulationIschemic heart diseaseMortality rateMortality trend

Identifiers

PMID37016366
PMCPMC10071740

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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.