Transfer and Survival of ST-Elevation Myocardial Infarction Medicare Patients
Bibliographic record
Abstract
Background: Interhospital transfer of ST-elevation myocardial infarction (STEMI) patients can lead to greater access to percutaneous coronary intervention (PCI) and reduce mortality. However, it is unclear how the characteristics of the transferring and receiving hospitals impacts mortality of transferred STEMI patients. Methods: In this retrospective cohort study, we estimated differences in mortality among STEMI patients undergoing interhospital transfer using Kaplan-Meier survival curves and adjusted hazard ratios derived from Cox proportional hazard models. Results: We found that partial PCI capability (i.e., retaining some patients while transferring others for PCI) of the transferring hospital and lower quality of the receiving hospital were associated with lower survival. Conclusions: Interhospital transfers driven by factors other than distance and quality can negatively affect patient outcomes.
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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 | 0.001 | 0.001 |
| 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 | 0.000 |
| 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".