Evidence map›Paper›PMID 41945347›Full record

ArticleJAMA network open2026

Traditional and Emerging Lipid Markers for Cardiovascular Risk Assessment in Young vs Older Adults.

Rui Tang, Jaejin An, Brandon K Bellows, Andrew E Moran, Norrina B Allen, John T Wilkins, Vanessa Xanthakis, Michael Y Tsai, Nilay S Shah, Kristi Reynolds and 1 more

Abstract read
In one paragraph

Article in JAMA network open, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Rui TangDivision of General Medicine, Columbia University Irving Medical Center, New York, New York.
Jaejin AnDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena.
Brandon K BellowsDivision of General Medicine, Columbia University Irving Medical Center, New York, New York.
Andrew E MoranDivision of General Medicine, Columbia University Irving Medical Center, New York, New York.
Norrina B AllenDepartments of Preventive Medicine and Medicine (Cardiology), Northwestern University, Chicago, Illinois.
John T WilkinsDepartments of Preventive Medicine and Medicine (Cardiology), Northwestern University, Chicago, Illinois.
Vanessa XanthakisSection of Preventive Medicine and Epidemiology, Department of Medicine, Boston University, Boston, Massachusetts.
Michael Y TsaiLaboratory Medicine and Pathology, University of Minnesota, Minneapolis.
Nilay S ShahDepartments of Preventive Medicine and Medicine (Cardiology), Northwestern University, Chicago, Illinois.
Kristi ReynoldsDepartment of Research & Evaluation, Kaiser Permanente Southern California, Pasadena.
Yiyi ZhangDivision of General Medicine, Columbia University Irving Medical Center, New York, New York.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Importance: The utility of emerging lipid markers-apolipoprotein B (apoB) and lipoprotein(a) (Lp[a])-for improving atherosclerotic cardiovascular disease (ASCVD) risk assessment beyond traditional lipid measures remains uncertain, particularly in young adults. Objective: To evaluate associations of traditional and emerging lipid markers with ASCVD and assess the incremental value of emerging markers beyond established risk models. Design, Setting, and Participants: This prospective cohort study included adults aged 18 years or older without cardiovascular disease from 3 US cohort studies (Coronary Artery Risk Development in Young Adults, the Framingham Heart Study Offspring, and the Multi-Ethnic Study of Atherosclerosis [MESA]). Data were analyzed from April to June 2025. Exposures: Lipid markers, including low-density lipoprotein (LDL) cholesterol, non-high-density lipoprotein (HDL) cholesterol, remnant cholesterol, total-to-HDL cholesterol ratio, apoB, and Lp(a). Main Outcomes and Measures: Hazard ratios (HRs) for incident ASCVD per-SD increase in lipid marker levels, estimated using Cox proportional hazards regression models adjusted for demographic and clinical factors, and model performance metrics (Harrell concordance index [C-index], net reclassification improvement [NRI], and mean calibration) comparing models including the risk estimated by the Predicting Risk of Cardiovascular Disease Events (PREVENT) base equations against models that additionally included each lipid marker. Results: Among 10 519 participants (mean [SD] age, 48.3 [15.7] years; 53.0% female), 1103 ASCVD events occurred during a median follow-up of 21.3 (IQR, 16.5-26.0) years. ApoB was positively associated with ASCVD events, especially in younger adults aged 18 to 39 years (adjusted HR [AHR] per-SD increase, 1.53; 95% CI, 1.30-1.79) vs those aged 40 years or older (AHR, 1.13; 95% CI, 1.06-1.20) (P < .001 for interaction). Lp(a) as a continuous variable was associated with a marginal increase in ASCVD in adults aged 40 years or older (AHR, 1.07; 95% CI, 1.00-1.16) but not in younger adults (AHR, 1.02; 95% CI, 0.87-1.19) (P = .61 for interaction). When dichotomized (>50 vs ≤50 mg/dL), Lp(a) was associated with ASCVD in adults aged 40 years or older (AHR range, 1.36; 95% CI, 1.13-1.64) but not in younger adults (AHR, 0.98; 95% CI, 0.66-1.45) (P = .42 for interaction). Adding apoB to 10-year ASCVD risk estimated by the PREVENT base equations was associated with improved risk reclassification in younger adults (continuous NRI, 0.67; 95% CI, 0.23-1.09) but not in those aged 40 years or older (continuous NRI, 0.16; 95% CI, -0.05 to 0.27). ApoB was also associated with improved 30-year risk reclassification in younger adults (continuous NRI, 0.47; 95% CI, 0.02-0.84). Dichotomized Lp(a), but not continuous Lp(a), was associated with improved 10-year NRI only in MESA (0.13; 95% CI, 0.03-0.24). Conclusions and Relevance: In this cohort study of 10 519 adults, adding apoB to PREVENT-estimated ASCVD risks was associated with improved risk reclassification, particularly in younger adults. However, the clinical importance of these modest improvements remains uncertain.

Indexed as

Apolipoproteins BAtherosclerosisCardiovascular DiseasesLipidsLipoprotein(a)AdultAgedAge FactorsBiomarkersFemaleHeart Disease Risk FactorsHumansMaleMiddle AgedProportional Hazards ModelsProspective StudiesApolipoproteins BBiomarkersLipidsLipoprotein(a)

Identifiers

PMID41945347
PMCPMC13058767

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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.