Do Lacunar Strokes Benefit from Thrombolysis? Evidence from the Registry of the Canadian Stroke Network
Bibliographic record
Abstract
BACKGROUND: Lacunar infarcts constitute up to 25% of all ischaemic strokes. As acute intracranial vascular imaging has become widely available with computed tomographic angiography, thrombolysis of lacunar strokes has become contentious because an intracranial vascular lesion cannot be visualized. We studied the effect of thrombolysis on lacunar strokes compared to other clinical ischaemic stroke sub-types. METHODS: Ischaemic stroke patients from phase 3 of the Registry of the Canadian Stroke Network data (July 2003-March 2008) were included. Lacunar stroke was defined as a lacunar syndrome supported by computed tomography brain showing a subcortical hypodense lesion with a diameter <20 mm. Clinical syndromes were used to define other stroke sub-types. The outcomes were mortality at 90 days, modified Rankin Scale score 0-2 at discharge, occurrence of intracranial haemorrhage as a complication of stroke in-hospital, and discharge disposition to home. RESULTS: A total of 11,503 patients of ischaemic stroke were included from the Registry of the Canadian Stroke Network 3 between July 2003 and March 2008. Lacunar strokes formed 19.1% of the total strokes. The total number of patients who received tissue plasminogen activator was 1630 (14.2%). A significant association was found between tissue plasminogen activator treatment and outcomes after controlling Oxfordshire Community Stroke Project types--for modified Rankin Scale at discharge and discharge to home, but not for mortality. A thrombolysis-by-Oxfordshire Community Stroke Project stroke sub-type interaction was observed due to lack of benefit among the posterior circulation stroke sub-types. Patients with lacunar strokes, partial anterior circulation stroke, and total anterior circulation strokes all benefited approximately equally from thrombolysis. CONCLUSIONS: Thrombolysis is associated with clinically improved outcome among patients with lacunar stroke syndromes.
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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 | 0.007 | 0.043 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.002 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.001 |
| Open science | 0.003 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 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".