Influence of Mild Hyperglycamia on Physical Function, Mood & Cognition after Acute Ischaemic Stroke
Bibliographic record
Abstract
Hyperglycaemia has been linked to increased mortality and poorer physical outcomes after ischaemic stroke, but effects on mood and cognition after ischaemic stroke are less certain. We studied a prospective cohort of people presenting to two teaching hospitals in Australia within 24 hours of an ischaemic stroke to determine the relationship between hyperglycaemia in the first 48 hours after presentation and physical function, mood and cognition three months later. Eighty-six patients with known diabetes or a g lucose greater than 7mmo l/l at presentation were included. Their mean admission glucose was 6.85mmo l/l. The major determinants of physical function, mood and cognition at 3 months were age, gender, atrial fibrillation (AF), and baseline NIH score. Hyperglycaemia was only significantly associated with quality of life, one of the 2 components in the mood domain, and this remained significant in the mult iple regression model. Mild hyperglycaemia in the first 48 hours of acute ischaemic stroke is potentially associated with worse quality of life at 3 month post-stroke. The major determinants of physical, cognitive & emotional outcomes remain age, gender, baseline NIH and presence of atrial fibrillation.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".