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Record W2052238486 · doi:10.1055/s-2002-32040

Dysglycemia: A Key Cardiovascular Risk Factor

2002· review· en· W2052238486 on OpenAlexaff
Hertzel C. Gerstein, Sarah E. Capes

Bibliographic record

VenueSeminars in Vascular Medicine · 2002
Typereview
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicMetabolism, Diabetes, and Cancer
Canadian institutionsMcMaster UniversityMcMaster University Medical Centre
Fundersnot available
KeywordsMedicinePostprandialDiabetes mellitusRisk factorInternal medicineBody mass indexBlood pressureCardiologyEndocrinologyType 2 diabetes

Abstract

fetched live from OpenAlex

Although diabetes is a strong independent risk factor for cardiovascular events, this risk is not confined to glucose levels above the diagnostic threshold for diabetes. Rather, there is now a growing consensus that the risk of cardiovascular events rises progressively as the fasting and postprandial glucose levels rise from the clearly normal range right into the diabetes range. Hence, dysglycemia (i.e., any elevated fasting or glucose level) is a progressive, continuous risk factor for cardiovascular events. In this respect it resembles every other well-established and progressive cardiovascular risk factor, such as age, LDL cholesterol, systolic and diastolic blood pressure, degree of smoking, albumin excretion, and body mass index. Whether or not strategies designed to normalize glucose levels in people with either diabetes or lesser degrees of dysglycemia will also reduce cardiovascular risk remains to be established. The results of several large international trials of glucose lowering in dysglycemic individuals should clarify the cardiovascular benefits of such an approach within the next few years.

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 score0.004
Threshold uncertainty score0.013

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0020.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0010.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.002
Insufficient payload (model declined to judge)0.0040.005

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 head0.023
GPT teacher head0.283
Teacher spread0.261 · 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

Citations19
Published2002
Admission routes1
Has abstractyes

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