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Record W2043402641 · doi:10.3109/10641960903443558

The Combined Effect of Hypertension and Smoking on Arterial Stiffness

2010· review· en· W2043402641 on OpenAlex
Ciaran Scallan, Robert J. Doonan, Stella S. Daskalopoulou

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueClinical and Experimental Hypertension · 2010
Typereview
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsMontreal General HospitalMcGill University Health Centre
Fundersnot available
KeywordsArterial stiffnessMedicineCardiologyArterial treeInternal medicineVentricleRisk factorBlood pressure

Abstract

fetched live from OpenAlex

Arterial stiffness plays a critical role in the function of the cardiovascular system as it represents the coupling of the left ventricle and arterial tree. Increased arterial stiffness is associated with a number of cardiovascular complications. Increased stiffness occurs with age and with the development of chronic conditions (e.g., hypertension) and the presence of vascular risk factors (e.g., smoking). Measuring arterial stiffness is increasingly gaining popularity as a method of assessing cardiovascular health and treatment efficacy. The purpose of this review was to assess the combined effect of hypertension and smoking on arterial stiffness. A systematic review of the literature revealed four relevant studies; hypertension and smoking were found to be independent detrimental factors for raising arterial stiffness, and combined they raise arterial stiffness more than either solitary factor. However, a need was identified for future studies to determine the extent to which smoking cessation therapy combined with the appropriate anti-hypertensive medication can lead to stabilization or even reversal of arterial stiffness.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.992
Threshold uncertainty score0.742

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0020.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.075
GPT teacher head0.391
Teacher spread0.317 · 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