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Lipoprotein(a): An Underappreciated Inherited Risk Factor for Atherosclerosis, Aortic Stenosis, and Abdominal Aortic Aneurysm

2025· article· en· W4416239555 on OpenAlexaff
Marlys L. Koschinsky, Dinesh Kalra, Michael B. Boffa

Bibliographic record

VenueAnnual Review of Medicine · 2025
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsRobarts Clinical TrialsWestern University
Fundersnot available
KeywordsAbdominal aortic aneurysmRisk factorStenosisPathophysiologyAortic aneurysmClinical trial

Abstract

fetched live from OpenAlex

Elevated plasma concentration of lipoprotein(a) is a highly prevalent, independent, and causal risk factor for the development of numerous cardiovascular diseases. This review summarizes the key clinical evidence for elevated lipoprotein(a) as a risk factor for atherosclerotic cardiovascular disease, aortic stenosis, and abdominal aortic aneurysm. These data are specifically linked to ongoing developments in understanding the pathophysiological mechanisms of lipoprotein(a) in these contexts. Highly potent lipoprotein(a)-lowering therapies are being studied in cardiovascular outcomes trials for their ability to prevent major adverse coronary events and aortic stenosis progression, potentially ushering in a new era of clinical management of lipoprotein(a).

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0020.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.022
GPT teacher head0.327
Teacher spread0.305 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreReview

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations2
Published2025
Admission routes1
Has abstractyes

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