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Record W1564855123 · doi:10.1159/000096751

Atherosclerosis, Arterial Stiffness and Antihypertensive Drug Therapy

2006· review· en· W1564855123 on OpenAlexaff
Michel E. Safar, Harold Smulyan

Bibliographic record

VenueAdvances in cardiology · 2006
Typereview
Languageen
FieldMedicine
TopicBlood Pressure and Hypertension Studies
Canadian institutionsHotel Dieu Hospital
Fundersnot available
KeywordsMedicineArterial stiffnessBlood pressureCardiologyAntihypertensive drugInternal medicineDrugPopulationDrug treatmentPharmacology

Abstract

fetched live from OpenAlex

Increased aortic stiffness is a consequence of cardiovascular (CV) aging and may be observed in the elderly with or without hypertension. Hypertension and arterial stiffness are independent risk factors for CV events, but such events may also be complicated by atherosclerosis, especially in the older population. The purpose of this chapter is to determine whether, in the presence of atherosclerosis, systolic hypertension in the elderly requires specific drug therapy. It will be shown that, in addition to the targeted drug treatment of associated hypercholesterolemia and/or hyperglycemia, the major problem nowadays is to find specific antihypertensive drugs causing a selective reduction of systolic blood pressure (SBP).

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)0.000
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 score0.012

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0020.000
Bibliometrics0.0030.003
Science and technology studies0.0000.000
Scholarly communication0.0010.001
Open science0.0010.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.002

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 head0.049
GPT teacher head0.342
Teacher spread0.293 · 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

Citations7
Published2006
Admission routes1
Has abstractyes

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