Evidence map›Paper›PMID 35956420›Full record

ArticleNutrients2022

Trajectories of Lipid Profile and Risk of Carotid Atherosclerosis Progression: A Longitudinal Cohort Study.

Haixu Yu, Yanguang Li, Liyuan Tao, Lincheng Yang, Dan Liu, Yang Wang, Xiaoyan Hao, Honghai He, Ying Che, Peng Wang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
3.2field-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

15 citing papers in PubMed, 24 citations in OpenAlex.

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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

12 authors at 1 institution in 1 country.

Haixu YuNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0003-3794-5449
Yanguang LiNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0002-9121-1887
Liyuan TaoResearch Center of Clinical Epidemiology, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0003-3497-1326
Lincheng YangNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0001-8860-3452
Dan LiuNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing 100191, China.
Yang WangPhysical Examination Center, Peking University Third Hospital, Beijing 100191, China.
Xiaoyan HaoPhysical Examination Center, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0003-3841-1342
Honghai HePhysical Examination Center, Peking University Third Hospital, Beijing 100191, China.
Ying ChePhysical Examination Center, Peking University Third Hospital, Beijing 100191, China.
Peng WangPhysical Examination Center, Peking University Third Hospital, Beijing 100191, China.
Wei ZhaoNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0001-9300-2512
Wei GaoNHC Key Laboratory of Cardiovascular Molecular Biology and Regulatory Peptides, Key Laboratory of Molecular Cardiovascular Science, Ministry of Education, Beijing Key Laboratory of Cardiovascular Receptors Research, Department of Cardiology and Institute of Vascular Medicine, Peking University Third Hospital, Beijing 100191, China.ORCID 0000-0003-3541-9568
Peking University · CN

Funding

Beijing Natural Science Foundation No. 7212125Clinical Cohort Construction Program of Peking University Third Hospital No. BYSYDL2019015Foundation project of Bei-jing Research Association for Chronic Disease Prevention and Health Education in 2021 No. BJMB0012021025025National Natural Science Foundation of China No.81871850National Natural Science Foundation of China No.81972149
6 · The paper itself

Abstract

backgroundEarly assessment of carotid atherosclerotic plaque characteristics is essential for atherosclerotic cardiovascular disease (ASCVD) risk stratification and prediction. We aimed to identify different trajectories of lipid profiles and investigate the association of lipid trajectories with carotid atherosclerosis (CAS) progression in a large, longitudinal cohort of the Chinese population.

methods10,412 participants aged ≥18 years with ≥2 times general health checkups were included in this longitudinally prospective cohort study at Peking University Third Hospital. We used latent class trajectory models to identify trajectories of total cholesterol (TC), low-density lipoprotein cholesterol (LDL-C), triglycerides (TG), and high-density lipoprotein cholesterol (HDL-C) over follow-up time (757 days, IQR: 388-844 days).

resultsParticipants with carotid plaque were more likely to be older, male, have higher body mass index, have a higher prevalence of hypertension and diabetes, and have a higher level of blood pressure, TG, TC, and LDL-C, compared with carotid intima-media thickness (cIMT) and normal group. Subjects were trichotomized according to different trajectory patterns into stable, moderate-stable, and elevated-increasing classes. TC ≥ 5.18 mmol/L and moderate-stable class (hazard ratio (HR): 1.416, 95% confidence interval (CI): 1.285-1.559,

conclusionsBorderline elevated baseline lipid (TC, TG, and LDL-C) with stable and elevated-increasing trajectories were associated with CAS progression. Long-term strategies for low-level lipid are beneficial for ASCVD management.

Indexed as

AtherosclerosisCarotid Artery DiseasesCarotid Intima-Media ThicknessPlaque, AtheroscleroticAdultChinaCholesterol, HDLCholesterol, LDLCohort StudiesDisease ProgressionFemaleHumansLongitudinal StudiesMaleProspective StudiesRisk AssessmentCholesterol, HDLCholesterol, LDLTriglyceridescarotid atherosclerosislipid profilelongitudinal cohorttrajectory

Identifiers

PMID35956420
PMCPMC9370402
OpenAlexW4292452294

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.