Acute Ischemic Stroke in the Incarcerated: Comparison of Treatment Rates and Clinical Outcomes With the United States General Population
Bibliographic record
Abstract
Incarcerated individuals in state and federal prisons demonstrate disproportionately high rates of cardiovascular disease, especially hypertension and tobacco use. 1 As a result, in comparison with the United States general population, inmates are faced with a more than three-fold risk of acute ischemic stroke (AIS). 2 Unfortunately, some evidence suggests that incarcerated individu-als receive suboptimal medical care due to structural barriers in healthcare delivery as well as discrimination based on incarcerated status, 3 which underscores a public health and human rights concern.To the best of our knowledge, no studies to date have evaluated treatment rates and clinical outcomes of AIS in this specialized population, in whom healthcare outcomes in general are woefully understudied.Herein, we aim to evaluate treatment rates of reperfusion therapies as well as clinical outcomes of in-
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".