Chest Pain in Acute Myocardial Infarction and Its Association With the Culprit Artery and Fibrotic Segment Identified by Cardiac Magnetic Resonance
Bibliographic record
Abstract
Background: It is still very controversial whether the characteristics of pain in the acute myocardial infarction could be related to the culprit coronary artery. There are no data about associations of pain with the ST-segment elevation myocardial infarction (STEMI) and left ventricular (LV) fibrotic segments. Methods: Data from 328 participants who had STEMI and were included in the B and T Types of Lymphocytes Evaluation in Acute Myocardial Infarction (BATTLE-AMI) study were analyzed. The culprit artery was identified by coronary angiography and the injured myocardial segments by cardiac magnetic resonance. The statistical significance was established by P value < 0.05. Results: A total of 223 patients (68%) were selected. Association was not observed between chest pain and the culprit artery (P = 0.237), as well as between pain irradiation and the culprit artery (P = 0.473). No significant difference was observed in the pain localization in relation to the segments in the short axis basal, mid, apical, and long axis, except for the mid inferior segment. The data were not considered clinically relevant because this association was observed in only one of 17 segments after multiple comparisons. Conclusions: In patients with STEMI, no associations were observed between the location or irradiation of acute chest pain and/or adjacent areas and the culprit artery, or between pain and segmental myocardial fibrosis in the LV.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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 teacher head, 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".