Evidence mapPaperPMID 42501146Full record

ReviewCurrent atherosclerosis reports2026

Rethinking Lipid Burden and the Role of Non-LDL Biomarkers in Stroke Risk Stratification.

Sean Michael Kelly, Julia Schneider, Michela Rosso, Koto Ishida, Sara Rostanski, Gregory Katz

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In one paragraph

Review in Current atherosclerosis reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

6 authors.

Sean Michael Kelly *New York University Grossman School of Medicine, New York, United States. sean.kelly2@nyulangone.org.ORCID http://orcid.org/0000-0003-4520-6080
Julia Schneider *New York University Grossman School of Medicine, New York, United States.
Michela RossoNew York University Grossman School of Medicine, New York, United States.
Koto IshidaNew York University Grossman School of Medicine, New York, United States.
Sara RostanskiNew York University Grossman School of Medicine, New York, United States.
Gregory KatzNew York University Grossman School of Medicine, New York, United States.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purpose of reviewThis article reviews the existing literature on non-LDL biomarkers in atherosclerotic cardiovascular disease (ACSVD), atherogenesis, and ischemic stroke risk, including a discussion of potential future applications for secondary prevention of stroke. RECENT

findingsAlthough foundational studies established the strong link between elevated low-density lipoprotein-cholesterol (LDL-C) with the development of atherosclerosis and increased cardiovascular risk, a growing number of recent studies have shown that more precise cerebrovascular disease (CVD) risk stratification can be achieved by using other components of the traditional lipid panel along with additional lipoprotein assays. The specific relationship between these non-traditional markers of atherosclerosis and ischemic stroke risk remains incompletely defined. Lipid measures beyond LDL-C including updated interpretations of the standard lipid panel, such as the triglyceride-to-high density lipoprotein ratio (TG:HDL) as well as testing for lipoprotein (a) (Lp(a)) and apolipoprotein B (ApoB), play a important respective roles in estimating metabolic health as well as atherogenic particle burden. These measures should therefore be considered in the context of stroke risk assessment, monitoring, and secondary prevention.

Indexed as

AtherosclerosisLipidsStrokeBiomarkersCholesterol, HDLCholesterol, LDLHumansLipoprotein(a)Risk AssessmentRisk FactorsTriglyceridesBiomarkersCholesterol, HDLCholesterol, LDLLipidsLipoprotein(a)TriglyceridesAtherosclerosisLDLLipoproteinStrokeTriglycerides

Identifiers

What Socratic holds

Textmetadata
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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 Socratic graph.