Evidence map›Paper›PMID 39394204›Full record

ArticleNature communications2024

Disparities in high fasting plasma glucose-related cardiovascular disease burden in China.

Xue Cao, Yixin Tian, Zhenping Zhao, Limin Wang, Xin Wang, Congyi Zheng, Zhen Hu, Runqing Gu, Xue Yu, Xuyan Pei and 6 more

Abstract read
In one paragraph

Article in Nature communications, 2024. 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

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

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

16 authors.

Xue CaoDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Yixin TianDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Zhenping ZhaoNational Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Limin WangNational Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Xin WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Congyi ZhengDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Zhen HuDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Runqing GuDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Xue YuDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Xuyan PeiDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China.
Peng YinNational Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.ORCID 0000-0002-5515-2824
Yuna HeNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Yuehui FangNational Institute for Nutrition and Health, Chinese Center for Disease Control and Prevention, Beijing, China.
Mei ZhangNational Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China.
Maigeng ZhouNational Center for Chronic Noncommunicable Disease Control and Prevention, Chinese Center for Disease Control and Prevention, Beijing, China. zhoumaigeng@ncncd.chinacdc.cn.ORCID 0000-0001-6402-6347
Zengwu WangDivision of Prevention and Community Health, National Center for Cardiovascular Disease, National Clinical Research center of Cardiovascular Disease, State Key Laboratory of Cardiovascular Disease, Fuwai Hospital, Peking Union Medical College& Chinese Academy of Medical Sciences, Beijing, China. wangzengwu@foxmail.com.ORCID 0000-0003-1613-5076

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Elaborating and understanding disparities in the burden of cardiovascular disease attributable to high fasting plasma glucose is important to improve diabetes prevention and promote cardiovascular health. In this study, we pool data on 791,373 people aged 25 years and older from three population-based surveys, and estimate the burden of cardiovascular disease attributable to high fasting plasma glucose between 2010 and 2018 in China by age, sex, region and socio-demographic index. In 2018, an estimated total of 498.61 thousand (95% uncertainty interval 463.93 to 534.12) cardiovascular disease-related deaths are attributable to high fasting plasma glucose in China. High fasting plasma glucose accounts for 1076.09 years of life lost per 100,000 people (95% uncertainty interval 1026.88-1129.04) due to cardiovascular disease in 2018, with substantial variation across provinces. In 2018, the higher age-standardised cardiovascular disease mortality rate attributable to high fasting plasma glucose is observed in the high-middle socio-demographic index region and the middle socio-demographic index region. Nationally, compared to 2010, exposure to high fasting plasma glucose and population aging in 2018 are the primary drivers of increased fasting plasma glucose-related deaths due to cardiovascular disease. Findings of this study emphasize the importance of developing population-specific tailored measures in China and other regions with similar condition.

Indexed as

Blood GlucoseCardiovascular DiseasesFastingAdultAgedAged, 80 and overChinaFemaleHumansMaleMiddle AgedRisk FactorsBlood Glucose

Identifiers

PMID39394204
PMCPMC11470015

What OpenQuestion holds

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Registered trials

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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.