Evidence map›Paper›PMID 37305106›Full record

ArticleChronic diseases and translational medicine2023

Prevalence of familial hypercholesterolemia and its association with coronary artery disease: A Chinese cohort study.

Xiapikatijiang Aihaiti, Shufeng Chen, Jianxin Li, Zhennan Lin, Qingmei Cui, Xue Xia, Fangchao Liu, Chong Shen, Dongsheng Hu, Keyong Huang and 12 more

Open access · goldAbstract read
In one paragraph

Article in Chronic diseases and translational 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
1.3field-weighted citation impact, top 21% 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

4 citing papers in PubMed, 4 citations in OpenAlex.

  1. Article
  2. Observational
  3. Article
  4. Article
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

22 authors at 9 institutions in 1 country.

Xiapikatijiang AihaitiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Shufeng ChenDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Jianxin LiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Zhennan LinDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Qingmei CuiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Xue XiaDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Fangchao LiuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Chong ShenDepartment of Epidemiology and Biostatistics, Center for Global Health, School of Public Health Nanjing Medical University Nanjing Jiangsu China.
Dongsheng HuSchool of Public Health Zhengzhou University Zhengzhou Henan China.
Keyong HuangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Yingxin ZhaoCardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine Shandong Academy of Medical Sciences Jinan Shandong China.
Fanghong LuCardio-Cerebrovascular Control and Research Center, Institute of Basic Medicine Shandong Academy of Medical Sciences Jinan Shandong China.
Xiaoqing LiuDivision of Epidemiology Guangdong Provincial People's Hospital Guangdong Cardiovascular Institute Guangzhou Guangdong China.
Jie CaoDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Ling YuDepartment of Cardiology Fujian Provincial People's Hospital Fuzhou Fujian China.
Ying LiDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Huan ZhangCenter for Genetic Epidemiology and Genomics, School of Public Health and Jiangsu Key Laboratory of Preventive and Translational Medicine for Geriatric Diseases Soochow University Medical College Suzhou Jiangsu China.
Zhenyan FuDepartment of Cardiology First Affiliated Hospital of Xinjiang Medical University Urumqi Xinjiang China.
Liancheng ZhaoDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Jianfeng HuangDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Dongfeng GuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.
Xiangfeng LuDepartment of Epidemiology, Fuwai Hospital, National Center for Cardiovascular Diseases Chinese Academy of Medical Sciences and Peking Union Medical College Beijing China.ORCID 0000-0003-4088-2338
Chinese Academy of Medical Sciences & Peking Union Medical College · CNShandong First Medical University · CNCapital Medical University · CNFujian Provincial People's Hospital · CNGuangdong Provincial People's Hospital · CNNanjing Medical University · CNSoochow University · CNXinjiang Medical University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Familial hypercholesterolemia (FH) is underrecognized, and its association with coronary artery disease (CAD) remains limited, especially in China. We aimed to investigate the prevalence of FH and its relationship with CAD in a large Chinese cohort. Methods: FH was defined using the Make Early Diagnosis to Prevent Early Death (MEDPED) criteria. The crude and age-sex standardized prevalence of FH were calculated based on surveys of the Prediction for Atherosclerotic Cardiovascular Disease Risk in China (China-PAR) project during 2007-2008. The associations of FH with incident CAD and its major subtypes were estimated with the cohort-stratified multivariate Cox proportional hazard models based on the data from the baseline to the last follow-up (2018-2020). Results: Among 98,885 included participants, 190 participants were defined as FH. Crude and age-sex standardized prevalence and 95% confidence interval (CI) of FH were 0.19% (0.17%-0.22%) and 0.13% (0.10%-0.16%), respectively. The prevalence varied across age groups and peaked in the group of 60-<70 years (0.28%), and the peak prevalence (0.18%) in males was earlier, yet lower than the peak crude prevalence in females (0.41%). During a mean follow-up of 10.7 years, 2493 cases of incident CAD were identified. After multivariate adjustment, FH patients had a 2.03-fold greater risk of developing CAD compared to non-FH participants. Conclusions: The prevalence of FH was estimated to be 0.19% in the participants, and it was associated with an elevated risk of incident CAD. Our study suggests that early screening of FH has certain public health significance for the prevention of CAD.

Indexed as

cohort studycoronary artery diseasefamilial hypercholesterolemiaprevalence

Identifiers

PMID37305106
PMCPMC10249193
OpenAlexW4366984831

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.