A Case-Control Study of Tissue Plasminogen Activator for Acute Ischemic Stroke
Bibliographic record
Abstract
BACKGROUND: Randomized trials demonstrate that intravenous tissue plasminogen activator (tPA) improves outcome in acute ischemic stroke (AIS). To assess translation of this efficacy into effectiveness in routine clinical practice we performed a case-control study of tPA treatment for AIS in a single hospital. METHODS: 151 tPA-treated AIS patients (1996-2005) were matched 1:1 with blinding to outcome to controls from a prospective registry based on age, gender, pre-stroke Oxford handicap scale (OHS), stroke severity, and subtype. The outcomes were in-hospital death, symptomatic intracranial hemorrhage (SICH), length-of-stay (LOS), discharge OHS and long-term survival. RESULTS: In-hospital mortality (23% vs. 24%) or long-term survival (median follow-up of 2 years) was not different between cases and controls (p = 0.83). SICH occurred in 7.8% (95% CI 4.2-13.5%) of tPA-treated patients. Median LOS was non-significantly shorter for cases (13 [7-29] vs. 16 [8-32] days, p = 0.14) but significantly shorter in tPA-treated vs. non-treated women (14 [7-28] vs. 20 [11-34] days, p = 0.04). At discharge 6.6% (95% CI 1.1-12.0%) more tPA-treated patients than controls had no disability (OHS < or = 1, p = 0.02). However, there was no difference in discharge independence rates or proportion discharged home. CONCLUSION: We demonstrate minor improvements in early recovery after stroke with tPA but the impact is less dramatic than that reported in randomized trials. This may relate to timing of treatment and the type of patients treated.
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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 | 0.011 | 0.023 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".