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Record W4387582013 · doi:10.58931/cdet.2023.1315

Lipoprotein (a) in Cardiovascular Risk Assessment and Management in Diabetes Mellitus

2023· article· en· W4387582013 on OpenAlexaffabout
Gordon A. Francis

Bibliographic record

VenueCanadian Diabetes & Endocrinology Today · 2023
Typearticle
Languageen
FieldMedicine
TopicLipoproteins and Cardiovascular Health
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineLipoprotein(a)Risk factorDiabetes mellitusInternal medicineDiseaseType 2 Diabetes MellitusCoronary heart diseaseStroke (engine)Atherosclerotic cardiovascular diseaseFamily historyRisk assessmentLipoproteinCardiologyEndocrinologyCholesterol

Abstract

fetched live from OpenAlex

Lipoprotein (a) [Lp(a)] is an independent and genetically-determined risk factor for coronary heart disease (CHD) and stroke that is not changed by alterations in lifestyle factors. It is now recommended by Canadian and other national lipid guidelines to be measured once in a person’s lifetime as part of overall assessment for cardiovascular risk, along with family history; presence of hypercholesterolemia; Type 2 diabetes (T2DM); hypertension; and smoking. The presence of elevated Lp(a) confers additional risk to the already high cardiovascular risk in individuals with T2DM. This review summarizes the nature and association of Lp(a) with elevated cardiovascular disease (CVD) risk; the increased cardiovascular risk in individuals with T2DM; potential therapies to lower Lp(a); whether or not to measure Lp(a); and recommendations on how to respond to the finding of elevated Lp(a) in a patient with T2DM.

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)0.003
metaresearch head score (Gemma)0.006
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: Empirical · Consensus signal: none
Teacher disagreement score0.062
Threshold uncertainty score0.123

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.006
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0020.002
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.004
Insufficient payload (model declined to judge)0.0030.001

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 head0.012
GPT teacher head0.256
Teacher spread0.244 · 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
GenreEmpirical

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

Citations0
Published2023
Admission routes2
Has abstractyes

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Same venueCanadian Diabetes & Endocrinology TodaySame topicLipoproteins and Cardiovascular HealthFrench-language works237,207