Improving survival with cytoprotective therapeutics administered after a myocardial infarction in the absence of reperfusion (1080.9)
Bibliographic record
Abstract
A strong negative correlation between the size of a myocardial infarction (MI) and the long‐term survival of the patient exists in the clinical population. The current gold standard treatment for reducing infarct size in MI patients is acute reperfusion therapy (ART). Due to various contraindications, up to 30 percent of eligible patients do not receive ART. Thus, there is an urgent need for pharmacological alternatives in this substantive population. As patients experiencing a MI can only be treated after the event precipitates symptoms, the purpose of this study was to establish if a cytoprotective agent, hemin, can reduce infarct size and subsequent mortality when administered after a permanent coronary occlusion without reperfusion. Methods. Mice were treated with either hemin or vehicle 30 minutes following the induction of a MI. Results. Four weeks post MI, infarct size was significantly reduced in hemin treated (HT) mice compared to vehicle controls (VC) indicating preserved myocardial tissue (44.0±4.2% and 60.2±0.8% respectively; p<0.05). Kaplan‐Meier curves demonstrate HT mice had significantly higher 4‐week survival rates than VC (78% and 56% respectively; p<0.05). Conclusions. This data demonstrates the potential of a cytoprotective therapeutic to reduced infarct size and improve survival when administered after a permanent occlusion in the absence of reperfusion. Grant Funding Source : Canadian Institute of Health and Research
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".