Visibility of CT early ischemic change significantly associates with time from stroke onset to baseline scan
Why this work is in the frame
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Bibliographic record
Abstract
Background: Non-contrast brain computed tomography (NCCT) remains the most common imaging modality employed to select patients for thrombolytic therapy in acute ischemic stroke. The current study used the Alberta Stroke Program Early CT Score (ASPECTS) to identify early ischemic changes on brain NCCT imaging with the aim to investigate whether a relationship exists between time from symptoms onset to NCCT with the presence of early ischaemic change quantified by ASPECTS. Method: We studied 1,329 ischemic stroke patients who had NCCT within 8 hours of stroke onset. Patients were assessed to see if they had any ASPECTS lesion and if the rate of patients with a lesion increased with time using logistic regression. Results: 30% patients had an ASPECTS<10 within the first 3 hours from symptom onset. Within the first 3 hours, odds ratio for a CT change (ASPECTS<10) per minute of time was 1.00 with 95% confidence interval (0.99 to 1.00) (p=0.266). After 3 hours, there was a significant increase in odds of ASPECTS<10 with increasing time. The odds increased 1% (OR=1.01) per 1 minute of time with 95% confidence interval (1.00 to 1.01) (p=0.002). Conclusion: We have identified that prior to first 3 hours of stroke there was no effect of time on odds of CT ischemic change (ASPECTS<10); after the first 3 hours of stroke, the odds of a ASPECTS<10 increased with increasing time to CT scan. The occurrence of early ischemic change may be a marker of time from stroke onset rather than severity.
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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 | 0.000 | 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) | 0.001 | 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 it