Evidence map›Paper›PMID 31630587›Full record

ArticleJournal of the American Heart Association2019

Trajectories of Lipids Profile and Incident Cardiovascular Disease Risk: A Longitudinal Cohort Study.

Alimu Dayimu, Chunxia Wang, Jiangbing Li, Bingbing Fan, Xiaokang Ji, Tao Zhang, Fuzhong Xue

Abstract read
In one paragraph

Article in Journal of the American Heart Association, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 3 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
42citing papers in PubMed, 3 pooled it
–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

42 citing papers in PubMed, 3 syntheses or guidelines pooled it.

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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

7 authors.

Alimu DayimuDepartment of Biostatistics School of Public Health Shandong University Jinan China.
Chunxia WangHealth Management Center Affiliated Hospital of Jining Medical University Jining Shandong China.
Jiangbing LiDepartment of Cardiology Shandong Provincial Hospital Shandong University Jinan China.
Bingbing FanDepartment of Biostatistics School of Public Health Shandong University Jinan China.
Xiaokang JiDepartment of Biostatistics School of Public Health Shandong University Jinan China.
Tao ZhangDepartment of Biostatistics School of Public Health Shandong University Jinan China.
Fuzhong XueDepartment of Biostatistics School of Public Health Shandong University Jinan China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background The association between low-density lipoprotein cholesterol, high-density lipoprotein cholesterol, and triglycerides with cardiovascular disease (CVD) has been well studied. No previous studies considered trajectory of these lipids jointly. This study aims to characterize longitudinal trajectories of lipid profile jointly and examine its impact on incident CVD. Methods and Results A total of 9726 participants (6102 men), aged from 20 to 58 years who had lipids repeatedly measured 3 to 9 times, were included in the study. Three distinct trajectories were identified using the multivariate latent class growth mixture model: inverse U-shape (18.72%; n=1821), progressing (66.03%; n=6422), and U-shape (15.25%; n=1483). Compared with the U-shape class, the adjusted hazard ratio and 95% CI were 1.33 (1.05-1.68) and 1.49 (1.14-1.95) for the progressing and inverse U-shape class, respectively. The area under the curve was calculated using the integral of the model parameters. In the adjusted model, total and incremental area under the curve of lipid profile were significantly associated with CVD risk. Furthermore, the model-estimated levels and linear slopes of lipids were calculated at each age point according to the latent class growth mixture model model parameters and their first derivatives, respectively. After adjusting for covariates, standardized odds ratio of slope increases gradually from 1.11 (1.02, 1.21) to 1.21 (1.12, 1.31) at 20 to 40 years and then decreased to 1.02 (0.94, 1.11) until 60 years. Conclusions These results indicate that the lipids profile trajectory has a significant impact on CVD risk. Age between 20 and 42 years is a crucial period for incident CVD, which has implications for early lipids intervention.

Indexed as

AdultCardiovascular DiseasesCholesterol, HDLCholesterol, LDLCohort StudiesFemaleHumansLongitudinal StudiesMaleMiddle AgedRisk AssessmentTriglyceridesYoung AdultCholesterol, HDLCholesterol, LDLTriglyceridescardiovascular diseaselipidslongitudinal cohort studytrajectory

Identifiers

PMID31630587
PMCPMC6898842

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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.