God vård på lika villkor vid hjärtinfarkt i dagens Sverige. Geografiska skillnader i dödlighet utan betyd
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.
Bibliographic record
Abstract
It is a known fact that the 1990s brought a decrease in mortality after myocardial infarction in Sweden but that differences in mortality rates following myocardial infarction still remain between the Swedish counties. Unresolved, however, are questions as to what these inter-county differences mean for the individual patient and what role hospital care plays in this context. We analysed all patients aged 64-85 years who were hospitalised following diagnosis of myocardial infarction in Sweden during the period 1993-1996. To gain an understanding of the relevance of geographical differences in mortality after myocardial infarction for the individual patient we applied multi-level regression analysis and calculated county and hospital median odds ratios (MORs) in relation to 28-day mortality. For hospitalised patients with myocardial infarction, being cared for in another hospital with higher mortality would increase the risk of dying by 9% (MOR=1.09) in men and 12% in women. If these patients moved to another county with higher mortality the risk would increase by 7% and 3%, respectively. The small geographical differences in 28-day mortality after myocardial infarction found in Sweden suggest a high degree of equality across the country; however, further improvement could be achieved in hospital care, especially for women - an issue that deserves further analysis.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.008 |
| Science and technology studies | 0.008 | 0.002 |
| Scholarly communication | 0.001 | 0.004 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.009 | 0.001 |
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 it