Abstract WMP89: Comparative Outcome Of Patients With And Without Mild Pre-Stroke Morbidity Following Endovascular Treatment - Results From The Hermes Meta-analysis
Bibliographic record
Abstract
Introduction: Analyses of the effect of prestroke functional levels upon outcome of endovascular therapy (EVT) have focused on the course of patients with moderate to substantial prestroke disability. The effect of complete freedom from pre-existing disability (modified Rankin Scale [mRS]=0) vs. predominantly mild pre-existing disability (mRS≥1) has not been well delineated. Methods: Data were from the HERMES collaboration, a meta-analysis of 7 randomized controlled trials that tested the safety and efficacy of EVT. Two multivariable ordinal logistic regression models were used to compare the association between EVT and 90-day mRS (primary outcome) in patients who were asymptomatic prestroke (mRS=0) and those who had predominantly mild disability prestroke (mRS≥1). Secondary outcomes included successful reperfusion (in the EVT subgroup) and symptomatic intracranial hemorrhage (sICH) at 24 hours. Results: We included 1764 patients in the analysis, of whom 223 (12.6%) had a prestroke mRS≥1 (162 mRS 1, 61 mRS≥2). Patients with prestroke mRS≥1 had worse outcomes compared to those with prestroke mRS=0 (adjusted odds ratio [aOR] 0.42 (95%CI:0.28-0.63). Nonetheless, a significant benefit of EVT was observed in the mRS≥1 subgroup (common OR:1.79 (95%CI:1.11-2.89, Figure). No significant differences were observed with regards to rates of reperfusion (aOR:0.91, 95%CI:0.52-1.57) and sICH (aOR:1.03, 95%CI:0.37-2.93) between patients asymptomatic vs. predominantly with mild disability prestroke. Conclusion: Patients completely asymptomatic prior to onset have better outcomes from EVT than those with mild disability. Patients with prestroke mRS=1 still do more often achieve good functional outcomes with EVT compared to conservative management, with similar rates of reperfusion and sICH. These findings indicate even mild pre-existing symptoms exert prognostic (outcome) but not predictive (different response to therapy) in patients eligible for EVT.
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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 | 0.017 | 0.029 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.046 |
| Bibliometrics | 0.003 | 0.004 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".