Abstract W P168: Intracranial Dolichoectasia in Patients with Recent Lacunar Strokes: The SPS3 Trial
Bibliographic record
Abstract
Background and Purpose: Intracranial arterial dolichoectasia (IADE) is associated with atherothrombotic strokes, but its relationship with lacunar infarcts is less certain. We investigated the prevalence of IADE and associated risk of recurrent stroke and death in the Secondary Prevention of Small Subcortical Strokes (SPS3) trial. Methods: Maximum diameter of the intracranial internal carotid artery (ICA), middle cerebral artery (MCA), vertebral artery (VA), and basilar artery (BA) were measured on 2794 MRAs with IADE defined a priori as >7.0 mm for ICA, >4.0 mm for MCA, >4.0 mm for VA, and >4.5 mm for BA. Patient characteristics and outcomes were compared between patients with and without IADE. Results: IADE was present in ≥1 artery in 210 (7.1%) patients, none in ICA, 5 MCA, 163 BA, and 116 VA. Patients with IADE were more often older (65 vs. 63 years; p = 0.01) male (81% vs. 61 %; p <0.001) and had hypertension (82% vs. 74%; p = 0.008), while diabetes (29% vs. 37%; p = 0.01) was more frequent in patients without IADE. White matter hyperintensities (ARWMC score) were more frequent (severe) in patients with IADE (31% vs. 21%, p = 0.001). In multivariable logistic regression analyses, after adjusting for age, assigned treatments, and hypertension, IADE was not predictive of recurrent stroke (OR 1.2, 95% CI 0.8-1.8) or death (OR 1.5, CI 0.94-2.3). In similar analyses, neither BA nor VA diameter as a continuous measure was predictive of recurrent stroke, however, increased BA diameter was predictive of death (OR 1.2 per mm, CI 1.0-1.5, p = 0.04). VA diameter was not. Conclusion: In this large well characterized cohort of lacunar stroke patients, dilatation of BA was independently associated with death but not recurrent stroke, and IADE in other arteries did not predict stroke or death. IAED in lacunar stroke patients seems to be unrelated to the mechanism and severity of small vessel disease.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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".