Evidence map›Paper›PMID 36197664›Full record

ArticleJAMA network open2022

Associations Between Life-Course Lipid Trajectories and Subclinical Atherosclerosis in Midlife.

Yinkun Yan, Shengxu Li, Yang Liu, Yajun Guo, Camilo Fernandez, Lydia Bazzano, Jiang He, Wei Chen

Abstract read
In one paragraph

Article in JAMA network open, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed, 1 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

19 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. 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

8 authors.

Yinkun YanCenter for Noncommunicable Disease Management, Beijing Children's Hospital, Capital Medical University, National Center for Children's Health, Beijing, China.
Shengxu LiChildren's Minnesota Research Institute, Children's Hospitals and Clinics of Minnesota, Minneapolis.
Yang LiuDepartment of Cardiology, The First Affiliated Hospital of Soochow University, Suzhou, China.
Yajun GuoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.
Camilo FernandezDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.
Lydia BazzanoDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.
Jiang HeDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.
Wei ChenDepartment of Epidemiology, Tulane University School of Public Health and Tropical Medicine, New Orleans, Louisiana.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: Childhood lipid levels have been associated with adult subclinical atherosclerosis; however, life-course lipid trajectories and their associations with cardiovascular disease risk are poorly characterized. Objectives: To examine the associations of lipid levels at different ages and discrete lipid trajectory patterns from childhood to adulthood with subclinical atherosclerosis in midlife. Design, Setting, and Participants: This cohort study used data from the Bogalusa Heart Study, a prospective, population-based cohort study conducted in a semirural, biracial community in Bogalusa, Louisiana, with follow-up from 1973 to 2016 (median follow-up, 36.8 years). Participants had 4 to 16 repeated measurements of lipids, including total cholesterol (TC), non-high-density lipoprotein cholesterol (non-HDL-C), low-density lipoprotein cholesterol (LDL-C), high-density lipoprotein cholesterol (HDL-C), and triglycerides (TG), from childhood to midlife and adult measurement of carotid intima-media thickness (IMT). Statistical analyses were conducted from July 1 to December 31, 2021. Exposures: Age-specific lipid levels were estimated, and lipid trajectory patterns were identified using latent mixture modeling. Main Outcomes and Measures: Subclinical atherosclerosis measured by carotid IMT. Results: The study evaluated 1201 adults (mean [SD] age, 45.7 [6.8] years; 691 [57.5%] women and 510 [42.5%] men; 392 Black [32.6%] and 809 White [67.4%] individuals). Levels of all lipids at each age from 5 to 45 years were significantly associated with adult IMT. The magnitude of associations generally increased with age, and non-HDL-C (age 5 y: β, 0.040; 95% CI, 0.025-0.055; age 45 y, β, 0.049; 95% CI, 0.026-0.072) and LDL-C (age 5 y: β, 0.039; 95% CI, 0.024-0.054; age 45 y, β, 0.043; 95% CI, 0.023-0.063) showed the strongest associations. After adjusting for race, sex, and other cardiovascular risk factors, mean IMT values were significantly higher in the low-slow increase, low-rapid increase, and high-stable trajectory groups for TC (eg, high-stable group: mean difference, 0.152 mm; 95% CI, 0.059-0.244 mm), the low-slow increase, low-rapid increase, moderate-stable, and high-stable trajectory groups for non-HDL-C (eg, low-slow increase group: mean difference, 0.048 mm; 95% CI, 0.012-0.085 mm) and LDL-C (eg, low-rapid increase group: mean difference, 0.104 mm; 95% CI, 0.056-0.151 mm) and the low-rapid increase and moderate-stable trajectory groups for TG (eg, moderate-stable group: mean difference, 0.071 mm; 95% CI, 0.019-0.122 mm) vs the corresponding low-stable trajectory groups. These associations were slightly attenuated after further adjustment for lipid levels at baseline or follow-up. There were no significant differences in mean IMT among HDL-C trajectory groups. Conclusions and Relevance: In this cohort study, discrete life-course lipid trajectories were associated with the development of atherosclerosis in midlife. The findings emphasize the importance of maintaining optimal lipid levels across the lifespan.

Indexed as

AtherosclerosisCarotid Intima-Media ThicknessAdolescentAdultChildChild, PreschoolCholesterolCholesterol, LDLCohort StudiesFemaleHumansLipoproteinsMaleMiddle AgedProspective StudiesRisk FactorsCholesterolCholesterol, LDLLipoproteinsTriglycerides

Identifiers

PMID36197664
PMCPMC9535509

What OpenQuestion holds

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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.