Outcomes of Large Vessel Occlusion Stroke in Patients Aged ≥90 Years
Bibliographic record
Abstract
Background and Purpose: Outcomes in patients ≥90 years of age with stroke due to large vessel occlusion were compared between endovascular therapy (EVT) and medical management. Methods: Of 2420 acute ischemic stroke patients with large vessel occlusion in a prospective, multicenter, nationwide registry in Japan, patients aged ≥90 years with occlusion of the internal carotid artery or M1 segment of the middle cerebral artery were included. The primary effectiveness outcome was a favorable outcome at 3 months, defined as achieving a modified Rankin Scale score of 0 to 2 or return to at least the prestroke modified Rankin Scale score at 3 months. Safety outcomes included symptomatic intracranial hemorrhage within 72 hours after onset. Intergroup biases were adjusted by multivariable adjustment with inverse probability of treatment weighting. Results: A total of 150 patients (median age, 92 [interquartile range, 90–94] years; median prestroke modified Rankin Scale score, 2 [interquartile range, 0–4]) were analyzed. EVT was performed in 49 patients (32.7%; mechanical thrombectomy, n=43). The EVT group showed shorter time from onset to hospital arrival ( P =0.03), higher Alberta Stroke Program Early CT Score ( P <0.01), and a higher rate of treatment with intravenous thrombolysis ( P <0.01) than the medical management group. The favorable outcome was seen in 28.6% of the EVT group and 6.9% of the medical management group ( P <0.01). EVT was associated with the favorable outcome (adjusted odds ratio, 8.44 [95% CI, 1.88–37.97]). Rates of symptomatic intracranial hemorrhage were similar between the EVT group (0.0%) and the medical management group (3.9%; P =0.30). Conclusions: Patients who underwent EVT showed better functional outcomes than those with medical management without increased symptomatic intracranial hemorrhages. Given proper patient selection, withholding EVT solely on the basis of the age of patients may not offer the best chance of good outcome. Registration: URL: https://www.clinicaltrials.gov ; Unique identifier: NCT02419794.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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 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".