Evidence map›Paper›PMID 33553319›Full record

ArticleAnnals of translational medicine2021

Elevated lipoprotein(a) and risk of coronary heart disease according to different lipid profiles in the general Chinese community population: the CHCN-BTH study.

Chunyue Guo, Han Cao, Guangliang Shan, Wei Zhao, Han Zhang, Kaijun Niu, Ze Cui, Naijun Tang, Kuo Liu, Li Pan and 16 more

Open access · diamondAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Annals of translational medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 1 pooled it
3.6field-weighted citation impact, top 7% 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

9 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Reevaluating the Use of Race/Ethnicity in the MESA Risk Score.Journal of the American Heart Association · 2026
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

26 authors at 5 institutions in 1 country.

Chunyue GuoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Han CaoDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Guangliang ShanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Wei ZhaoDepartment of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China.
Han ZhangHealth Management Center, Beijing Aerospace General Hospital, Beijing, China.
Kaijun NiuNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Ze CuiDepartment of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China.
Naijun TangDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, and Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin, China.
Kuo LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Li PanDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Xiaoyan HanDepartment of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China.
Zhengfang WangHealth Management Center, Beijing Aerospace General Hospital, Beijing, China.
Ge MengNutritional Epidemiology Institute and School of Public Health, Tianjin Medical University, Tianjin, China.
Jixin SunDepartment of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China.
Anqi ShanDepartment of Occupational and Environmental Health, School of Public Health, Tianjin Medical University, and Tianjin Key Laboratory of Environment, Nutrition, and Public Health, Tianjin, China.
Yuxiang YanDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Huijing HeDepartment of Epidemiology and Statistics, Institute of Basic Medical Sciences, Chinese Academy of Medical Sciences, School of Basic Medicine, Peking Union Medical College, Beijing, China.
Zhiyuan XuDepartment of Chronic and Noncommunicable Disease Prevention and Control, Chaoyang District Center for Disease Prevention and Control, Beijing, China.
Yajing CaoDepartment of Chronic and Noncommunicable Disease Prevention and Control, Hebei Provincial Center for Disease Prevention and Control, Shijiazhuang, China.
Wenjuan PengDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Yanyan SunDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Yunyi XieDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Xiaohui LiuDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Bingxiao LiDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Fuyuan WenDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Ling ZhangDepartment of Epidemiology and Health Statistics, School of Public Health, Capital Medical University and Beijing Municipal Key Laboratory of Clinical Epidemiology, Beijing, China.
Capital Medical University · CNTianjin Medical University · CNChinese Academy of Medical Sciences & Peking Union Medical College · CNHebei Provincial Center for Disease Control and Prevention · CNBeijing Aerospace General Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTo evaluate the contributions of elevated lipoprotein(a) [Lp(a)] to the risk of coronary heart disease (CHD) in the general Chinese community population according to different lipid profiles.

methodsWe recruited individuals aged over 18 years from the baseline survey of the Cohort Study on Chronic Disease of Communities Natural Population in Beijing, Tianjin and Hebei (CHCN-BTH) using a stratified, multistage cluster sampling method. Data were collected through questionnaire surveys, anthropometric measures and laboratory tests. Restricted cubic spline (RCS) functions, multivariate logistic regression, sensitivity analyses and stratified analyses were used to evaluate the association between Lp(a) and CHD.

resultsA total of 25,343 participants were included, with 1,364 (5.38%) identified as having CHD. Elevated Lp(a) levels were linearly related to an increased risk of CHD (P

conclusionsElevated Lp(a) concentrations were linearly associated with a higher risk of CHD in the general Chinese community population, especially in normolipidemic subjects. Both dyslipidemia and elevated Lp(a) independently or synergistically contributed to the risk of CHD. Our results suggest that more attention should be paid to the levels of Lp(a) in normolipidemic subjects, which may be an early predictor of CHD.

Indexed as

coronary heart disease (CHD)general Chinese community populationlipid profilesLipoprotein(a)

Identifiers

PMID33553319
PMCPMC7859748
OpenAlexW3109414125

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.