Endovascular Thrombectomy for Mild Strokes: How Low Should We Go?
Bibliographic record
Abstract
Background and Purpose- Endovascular thrombectomy (EVT) is effective for acute ischemic stroke with large vessel occlusion and National Institutes of Health Stroke Scale (NIHSS) ≥6. However, EVT benefit for mild deficits large vessel occlusions (NIHSS, <6) is uncertain. We evaluated EVT efficacy and safety in mild strokes with large vessel occlusion. Methods- A retrospective cohort of patients with anterior circulation large vessel occlusion and NIHSS <6 presenting within 24 hours from last seen normal were pooled. Patients were divided into 2 groups: EVT or medical management. Ninety-day mRS of 0 to 1 was the primary outcome, mRS of 0 to 2 was the secondary. Symptomatic intracerebral hemorrhage was the safety outcome. Clinical outcomes were compared through a multivariable logistic regression after adjusting for age, presentation NIHSS, time last seen normal to presentation, center, IV alteplase, Alberta Stroke Program early computed tomographic score, and thrombus location. We then performed propensity score matching as a sensitivity analysis. Results were also stratified by thrombus location. Results- Two hundred fourteen patients (EVT, 124; medical management, 90) were included from 8 US and Spain centers between January 2012 and March 2017. The groups were similar in age, Alberta Stroke Program early computed tomographic score, IV alteplase rate and time last seen normal to presentation. There was no difference in mRS of 0 to 1 between EVT and medical management (55.7% versus 54.4%, respectively; adjusted odds ratio, 1.3; 95% CI, 0.64-2.64; P=0.47). Similar results were seen for mRS of 0 to 2 (63.3% EVT versus 67.8% medical management; adjusted odds ratio, 0.9; 95% CI, 0.43-1.88; P=0.77). In a propensity matching analysis, there was no treatment effect in 62 matched pairs (53.5% EVT, 48.4% medical management; odds ratio, 1.17; 95% CI, 0.54-2.52; P=0.69). There was no statistically significant difference when stratified by any thrombus location; M1 approached significance ( P=0.07). Symptomatic intracerebral hemorrhage rates were higher with thrombectomy (5.8% EVT versus 0% medical management; P=0.02). Conclusions- Our retrospective multicenter cohort study showed no improvement in excellent and independent functional outcomes in mild strokes (NIHSS, <6) receiving thrombectomy irrespective of thrombus location, with increased symptomatic intracerebral hemorrhage rates, consistent with the guidelines recommending the treatment for NIHSS ≥6. There was a signal toward benefit with EVT only in M1 occlusions; however, this needs to be further evaluated in future randomized control trials.
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How this classification was reachedexpand
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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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 teacher head, 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".