One-Year Home-Time and Mortality After Thrombolysis Compared With Nontreated Patients in a Propensity-Matched Analysis
Bibliographic record
Abstract
Background and Purpose— Intravenous thrombolysis with r-tPA (recombinant tissue-type plasminogen activator) is associated with improved early functional outcome after stroke, but its long-term effects are less understood. We aimed to determine the association between r-tPA and 1-year outcomes after stroke. Methods— We used the Ontario Stroke Registry to identify patients diagnosed with ischemic stroke between 2002 and 2013 in Ontario, Canada, their baseline characteristics, and whether they received r-tPA. We used propensity score methods to match patients treated with r-tPA to nontreated patients. The primary outcome was 1-year home-time, defined as the number of days spent outside of any healthcare institutions in the first 365 days after the index date of admission. Secondary outcomes were admission to a nursing home and all-cause mortality in the first year. Outcomes were determined using linked administrative data. We used paired t tests to compare mean home-time days and Cox proportional hazards models for mortality and nursing home admission to estimate hazard ratios and 95% CI. Results— All 4449 patients treated with r-tPA in the registry were matched to nontreated patients. Compared with nontreated patients, those treated with r-tPA experienced more time at home in the first year (mean±SD was 248.9 days±137.2 treated versus 239.4 days±139.0 nontreated, P =0.005) and were less likely to be admitted to nursing homes (9.4% treated versus 12.2% nontreated; hazard ratio, 0.84; 95% CI, 0.78–0.91). One-year all-cause mortality was similar between the 2 groups (13.2% treated versus 12.4% nontreated; hazard ratio, 1.07; 95% CI, 0.96–1.20). Conclusions— Despite similar mortality, patients who received r-tPA spent more time at home and were less likely to require nursing home admission in the first year after stroke compared with nontreated patients, suggesting long-term benefits and safety of this treatment.
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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) | 0.001 | 0.002 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".