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Record W2069553006 · doi:10.1177/0003319711410307

Ankle–Brachial Index as an Indicator of Arterial Stiffness in Patients Without Peripheral Artery Disease

2011· article· en· W2069553006 on OpenAlex
Simon W. Rabkin, Siu Him Chan, Colleen Sweeney

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

VenueAngiology · 2011
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsUniversity of British Columbia
Fundersnot available
KeywordsMedicineArterial diseasePeripheralArterial stiffnessAnkleCardiologyBrachial arteryInternal medicineIndex (typography)Vascular diseaseSurgeryBlood pressure

Abstract

fetched live from OpenAlex

We tested the hypothesis that the Ankle-Brachial Index (ABI) in patients without peripheral arterial disease ([PAD] ABI > 1.0) is an indicator of arterial stiffness. Fifty-five patients had measurement of carotid pulse wave contour, pulse wave velocity (PWV), and ABI. Vascular stiffness as assessed by augmentation index (AIx) showed a significant (P = .002) inverse correlation with ABI. Dichotomizing ABI into groups above and below the median showed that persons with a lower ABI, >1.0 to 1.5 (n = 27) had a significantly (P < .01) higher AIx than those with a higher ABI > 1.5 (n = 28). In contrast, vascular stiffness assessed by brachial-ankle or carotid femoral PWV did not correlate with ABI. In summary, ABI is an indicator of arterial stiffness assessed by AIx. Vascular changes detected by AIx are not the same as those detected by PWV. Assessment of ABI may have utility in cardiovascular risk assessment in patients without PAD.

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)0.000
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: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.012
Threshold uncertainty score0.406

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.014
GPT teacher head0.271
Teacher spread0.257 · 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