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Record W2015983038 · doi:10.1097/crd.0b013e318283f65a

Endothelin in Coronary Artery Disease and Myocardial Infarction

2013· review· en· W2015983038 on OpenAlex

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

VenueCardiology in Review · 2013
Typereview
Languageen
FieldMedicine
TopicNitric Oxide and Endothelin Effects
Canadian institutionsJewish General HospitalMcGill University
Fundersnot available
KeywordsMedicineCardiologyMyocardial infarctionInternal medicineEndothelin receptorCoronary artery diseaseAfterloadHeart failureSubclinical infectionEndothelial dysfunctionEndothelinsDiseaseHemodynamicsReceptor

Abstract

fetched live from OpenAlex

Coronary artery disease remains a major cause of morbidity and mortality. Experimental and clinical data have indicated an important role of endothelin-1 at various subclinical and clinical stages of the disease. Endothelin-1 causes endothelial dysfunction and inflammation and may contribute to atherosclerotic plaque formation. During acute myocardial infarction, endothelin-1 enhances myocardial necrosis and arrhythmogenesis, but seems to exert a favorable effect on subsequent infarct healing and early ventricular remodeling. In the chronic postinfarction phase, endothelin-1 increases left ventricular afterload and participates in the myocardial fibrotic process. The progressive understanding of these actions has stimulated a large number of experimental and clinical studies examining the various effects of endothelin receptor blockade in coronary artery disease and chronic heart failure. However, this research has yielded largely contradictory results that have stirred scientific debates and controversies. This review summarizes the current state-of-the-art on this exciting topic, focusing on potential clinical ramifications.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.894
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0040.001
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.001
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 head0.041
GPT teacher head0.333
Teacher spread0.292 · 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