Evidence map›Paper›PMID 42131837›Full record

ReviewFrontiers in neurology

Long-term LDL cholesterol burden and stroke: mechanistic insights and emerging strategies for personalized lipid management.

Zhuanfang Li, Lan Ye, Jie Li, Yinping Wang, Jun Yang

Abstract readReview
In one paragraph

Review in Frontiers in neurology. 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

5 authors.

Zhuanfang LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Lan YeDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie LiDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yinping WangDepartment of Operation Center, Huashan Hospital, Fudan University, Shanghai, China.
Jun YangDepartment of Neurology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Low-density lipoprotein cholesterol (LDL-C) is a causal and modifiable driver of atherosclerotic cardiovascular disease and an important contributor to atherosclerotic ischemic stroke. Increasing evidence suggests that cumulative LDL-C exposure-the combined effect of LDL-C magnitude and duration over time-captures vascular injury more accurately than a single measurement obtained at one clinical encounter. This review uses cumulative LDL-C exposure as an organizing framework for stroke prevention. We summarize current approaches to quantifying long-term LDL-C burden, review epidemiological evidence linking cumulative exposure to incident and recurrent ischemic stroke, and discuss biological mechanisms that may explain these associations. We then examine how lipid-lowering therapies, including statins, PCSK9 inhibitors, and small-interfering RNA-based agents, may reduce cumulative vascular injury. Particular attention is paid to the clinical challenge of balancing ischemic benefit against potential hemorrhagic vulnerability in selected high-risk phenotypes, such as patients with probable cerebral amyloid angiopathy or multiple lobar cerebral microbleeds. We propose a precision-management framework that integrates longitudinal lipid exposure, stroke subtype, genetics, neuroimaging, and dynamic risk assessment. By shifting attention from static lipid values to lifelong exposure, cumulative LDL-C burden may offer a more coherent basis for individualized cerebrovascular prevention.

Indexed as

atherosclerosiscumulative exposureischemic strokelow-density lipoprotein cholesterolPCSK9 inhibitorsprecision medicine

Identifiers

PMID42131837
PMCPMC13160751

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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.