Evidence map›Paper›PMID 40420165›Full record

ArticleNutrition & metabolism2025

Impact of remnant cholesterol to high-density lipoprotein cholesterol ratio on risk of incident ASCVD: the Kailuan prospective cohort study.

Yizhen Tan, Shuohua Chen, Zhe Huang, Xiangfeng Lu, Jianxin Li, Youxin Wang, Shouling Wu, Ying Wu, Yuntao Wu, Yun Li

Abstract read
In one paragraph

Article in Nutrition & metabolism, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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

10 authors.

Yizhen TanDepartment of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Shuohua ChenDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, China.
Zhe HuangDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, China.
Xiangfeng LuDepartment 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.
Youxin WangDepartment of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, 063210, China.
Shouling WuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, China.
Ying WuDepartment of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, 063210, China. tswydd@sina.com.
Yuntao WuDepartment of Cardiology, Kailuan General Hospital, 57 Xinhua East Rd, Tangshan, 063000, China. wyt0086@163.com.
Yun LiDepartment of Preventive Medicine, School of Public Health, North China University of Science and Technology, Tangshan, 063210, China. liyun8022@163.com.

Funding

the Noncommunicable Chronic Diseases-National Science and Technology Major project 2023ZD0503500the Noncommunicable Chronic Diseases-National Science and Technology Major project 2023ZD0504000
6 · The paper itself

Abstract

backgroundThe study utilized the remnant cholesterol (RC) to high-density lipoprotein cholesterol (HDL-C) ratio as a lipidemia indicator. Assessing its long-term impact on cardiovascular disease (ASCVD) is crucial for primary prevention.

methods84,380 participants were enrolled in the prospective cohort. Participants were classified into low, medium, and high levels based on baseline RC/HDL-C levels at the 50th percentile and 90th percentile. Participants were followed until December 31, 2023. Calculate the incidence density of ASCVD for each group. The time-dependent Cox proportional hazards model was utilized to calculate the hazard ratios (HRs) and 95% confidence intervals (CIs) for ASCVD risk among different groups.

resultsThe study included 42,181, 33,739, and 8460 participants in the low, medium, and high levels respectively. A median follow-up of 16.92 years, 8397 ASCVD cases were identified. The 1000 person-years incidence density and 95% CIs for ASCVD were 5.86 (5.67, 6.05) in the low level, 6.92 (6.70, 7.15) in the medium level, and 8.85 (8.35, 9.39) in the high level. Compared to the low level, the Cox model showed that the HRs and 95% CIs for ASCVD were 1.09 (1.04, 1.14) and 1.23 (1.15, 1.32), respectively in medium and high levels.

conclusionHigher RC/HDL-C level was significantly associated with an increased risk of ASCVD. Including the RC/HDL-C in lipid evaluation can reduce the onset of ASCVD. CLINICAL TRIAL REGISTRATION NUMBER: ChiCTR2000029767.

Indexed as

ASCVDCohortDyslipidemia

Identifiers

PMID40420165
PMCPMC12105187

What Socratic 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 Socratic graph.