Evidence map›Paper›PMID 37008311›Full record

ArticleFrontiers in cardiovascular medicine2023

Deaths and disability-adjusted life years of hypertension in China, South Korea, and Japan: A trend over the past 29 years.

Yan Qiu, Junzhuang Ma, Jiahong Zhu, Ying Liu, Wen Ren, Shuaishuai Zhang, Jingjing Ren

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Article in Frontiers in cardiovascular medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

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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

4 citing papers in PubMed.

  1. Article
  2. Long-term effects of PMBMC public health · 2025
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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

7 authors.

Yan QiuDepartment of General Practice, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Junzhuang MaDepartment of General Practice, The First Division Hospital of Xinjiang Production and Construction Group, Aksu, China.
Jiahong ZhuDepartment of General Practice, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Ying LiuDepartment of General Practice, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Wen RenDepartment of General Practice, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Shuaishuai ZhangDepartment of General Practice, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Jingjing RenDepartment of General Practice, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Hypertension has been confirmed as an independent risk factor for cardiovascular disease and death. Few data were analyzed on deaths and disability-adjusted life years (DALYs) caused by hypertension in East Asia. We aimed to provide an overview of burden attributable to high blood pressure in China in the past 29 years, compared with those in Japan and South Korea. Methods: Data were collected from the 2019 Global Burden of Disease study on diseases due to high systolic blood pressure (SBP). We retrieved the age-standardized mortality rate (ASMR) and DALYs rate (ASDR) by gender, age, location, and sociodemographic index. The death and DALY trends were evaluated by estimated annual percentage change, with 95% confidence interval. Findings: Considerable differences were detected in the diseases attributable to high SBP in China, Japan, and South Korea. In 2019, the ASMR and ASDR of diseases due to high SBP in China were 153.34 (126.19, 182.49) per 100,000 population and 2,844.27 (2,391.91, 3,321.12) per 100,000 population, respectively, which was about 3.50-fold of those in another two countries. The elders and males had higher ASMR and ASDR in the three countries. Between 1990 and 2019, the declining trends were less pronounced in China for both the deaths and DALYs. Conclusions: The deaths and DALYs due to hypertension declined in China, Japan, and South Korea in the past 29 years, with China having the greatest burden.

Indexed as

blood pressureburdenDALYsmortalitypopulation

Identifiers

PMID37008311
PMCPMC10050598

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