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Record W2030678446 · doi:10.2143/ac.63.3.1020312

Is there an association between coronary atherosclerosis and airway reponsiveness?

2008· article· en· W2030678446 on OpenAlexaff
Julie Turmel, Louis‐Philippe Boulet, Frédéric Sériès, Paul Poirier, Jean‐Claude Tardif, Josep Rodés‐Cabau, Éric Larose, Olivier F. Bertrand

Bibliographic record

VenueActa Cardiologica · 2008
Typearticle
Languageen
FieldMedicine
TopicCardiovascular Health and Disease Prevention
Canadian institutionsMontreal Heart Institute
Fundersnot available
KeywordsMedicineCardiologyInternal medicineCoronary artery diseaseLumen (anatomy)AirwayCoronary atherosclerosisMethacholineIntravascular ultrasoundArterySpirometryGastroenterologyLungAsthmaRespiratory diseaseAnesthesia

Abstract

fetched live from OpenAlex

OBJECTIVE: Recent data suggested a relationship between carotid artery intima/media thickness and airway hyperresponsiveness (AHR). Our objective was to assess the potential relationship between AHR and coronary atherosclerosis plaque volume as assessed by 3-dimensional intravascular ultrasound (IVUS). METHODS: Thirty-six subjects had a spirometry and methacholine challenge, skin prick tests, blood sampling and induced sputum analysis. RESULTS: We found five (13.9%) patients who presented AHR to methacholine. There was no significant difference between patients with and without AHR, in plaque volume (221 +/- 45 mm3 vs. 189 +/- 13 mm3, P = 0.4), lumen volume (187 +/- 11 mm3 vs. 221 +/- 11 mm3, P = 0.2), or in total vessel volume (377 +/- 20 mm3 vs. 415 +/- 20 mm3, P = 0.5), respectively. No relationship was found between AHR, cell counts and coronary atherosclerotic plaque, lumen or total vessel volumes. There were significantly more eosinophils (1.69 +/- 1.75% vs. 0.21 +/- 0.31%, P = 0.0007) and lymphocyte counts (3.75 +/- 1.59% vs. 2.25 +/- 1.12%, P = 0.03) in patients with AHR compared to patients without. CONCLUSION: In patients with stable coronary artery disease, the incidence of AHR was low and there was no relationship between AHR or airway inflammation and coronary atherosclerosis.

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 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 score0.007
Threshold uncertainty score0.428

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 head0.047
GPT teacher head0.288
Teacher spread0.241 · 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 teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
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

Citations1
Published2008
Admission routes1
Has abstractyes

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