Coronary vasospasm: a case report and review of the literature.
Bibliographic record
Abstract
Coronary vasospasm is defined as a transient abnormal contraction of an epicardial coronary artery that results in myocardial ischemia. Vasospasm frequently occurs at the site of coronary atheroma, implicating endothelial dysfunction in the pathogenesis of this phenomenon. Definitive diagnosis is made after angiographic evidence of coronary vasoconstriction that reverses with the administration of intravenous or intra-arterial nitroglycerin. Medical therapy involves the use of high-dose calcium channel blockers and/or nitrates. In selected cases, coronary revascularization with stenting may successfully prevent the recurrence of clinically significant vasospasm but should be offered in conjunction with traditional medical therapy. Long-term prognosis of treated patients is excellent but is dependent on the severity of vasospastic episodes and the degree of underlying coronary artery disease and left ventricular dysfunction. A case of severe vasospasm that localized to the proximal left anterior descending artery and was successfully treated with stenting and vasodilator therapy is reported. The pathophysiology, diagnosis and management of coronary vasospasm are also reviewed.
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 imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.008 | 0.004 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.002 | 0.004 |
| Open science | 0.003 | 0.002 |
| Research integrity | 0.006 | 0.002 |
| Insufficient payload (model declined to judge) | 0.008 | 0.006 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".