Mechanical thrombectomy in patients with acute ischemic stroke and ASPECTS ≤6: a meta-analysis
Why this work is in the frame
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Bibliographic record
Abstract
BACKGROUND: It is uncertain whether mechanical thrombectomy (MT) increases the probability of a good outcome (modified Rankin Scale (mRS) 0-2) in patients with Alberta Stroke Program Early CT Score (ASPECTS) 0-6. OBJECTIVE: To assess the impact of MT in patients with pretreatment ASPECTS 0-6. METHODS: According to PRISMA guidelines, we performed a systematic search of three databases for series of patients with ASPECTS 0-6 treated by MT. Random-effects meta-analysis was used to pool the following: rate of mRS 0-2 at 3 months follow-up, symptomatic intracranial hemorrhage (sICH), and mortality rates. RESULTS: We included 17 studies and 1378 patients with ASPECTS 0-6 (1194 MT, 184 medical management). The rate of mRS 0-2 was 30.1% and 3.2% after MT and medical management, respectively. MT gave higher odds of mRS 0-2 (OR 4.76, p=0.01). Patients with ASPECTS 6 and 5 had comparable rates of good outcome (37.7% and 33.3%, respectively). Overall, the rate of mRS 0-2 was 17.1% in patients with ASPECTS 0-4: 22.1% and 13.9% of patients with ASPECTS 4 and 0-3 were functionally independent, respectively. Successful recanalization (Thrombolysis in Cerebral Infarction grade 2b-3) gave higher odds of mRS 0-2 than unsuccessful reperfusion (OR 5.2, p=0.001). The MT group tended to have lower odds of sICH compared with the controls (OR 0.48, p=0.06). Patients aged <70 years had higher rates of mRS 0-2 than those aged >70 years (40.3% vs 16.2%). CONCLUSIONS: Patients with ASPECTS 0-6may benefit from MT. Successful reperfusion increases the probability of 3-month functional independence without increasing the risk of sICH. Patients with ASPECTS 5 and 6 have comparable outcomes. MT can still enable approximately one in four patients with ASPECTS 4 to be independent, whereas only 14% of subjects with ASPECTS 0-3 regain a good functional outcome.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.007 | 0.008 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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 it