Early Ischemic Stroke Presentation in Pakistan
Bibliographic record
Abstract
INTRODUCTION: There are no studies from Pakistan that describe stroke presentation rates or factors associated with early or delayed presentation. This is important to know because current clinical protocols limit the use of recombinant tissue plasminogen activator (rtPA), the only available therapy for acute ischemic stroke, to a three-hour window from symptom onset. METHODS: All patients aged 14 years or above with acute ischemic stroke of < or = 48 hours duration were prospectively identified from the Aga Khan University Stroke Data Bank over a 22-month period ending May 2001. RESULTS: 269 ischemic stroke patients presented within 48 hours of stroke onset. 55 out of 269 (21%) presented within first three hours and 110 out of 269 (41%) within first six hours. Unawareness of treatment options (p < 0.001) and inappropriate diagnosis and field triage (p = 0.005) were associated with delayed presentation. Small vessel occlusion or lacunar stroke in the TOAST (Trial of ORG 10172 in Acute Stroke Treatment) ischemic stroke subtype was associated with delayed presentation (p = 0.047) and cardioembolic stroke was associated with earlier presentation (p = 0.048). Stroke severity assessed with the National Institutes of Health Stroke Scale at a cut off score of > or = 15 was not associated with earlier time to presentation at three hours (p = 0.114) but there was some tendency at six hours (p = 0.097). CONCLUSIONS: The rate of early stroke presentation in a Pakistani tertiary care facility is comparable to certain developed countries. To increase the proportion of patients who can benefit from thrombolytic therapy, programs need to be instituted to increase public awareness of treatment options for stroke and expedited referral by the primary care provider.
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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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.006 | 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 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".