High-risk asymptomatic carotid stenosis
Bibliographic record
Abstract
OBJECTIVE: We compared microemboli on transcranial Doppler (TCD) with carotid ulcerations on 3D ultrasound (US) as an additional method for identifying the small proportion of patients with asymptomatic carotid stenosis (ACS) who can benefit from revascularization such as endarterectomy or stenting. METHODS: Patients with ACS (n = 253) with carotid stenosis >60% by Doppler ultrasound were studied prospectively with TCD embolus detection and 3D US to detect ulcers (the total number of ulcers in both internal carotids) and followed for 3 years. RESULTS: Mean age was 69.66 (SD 8.51) years; 11 (4%) had ≥3 ulcers (Ulcer 3), 11 (6%) had microemboli, and 25 (10%) had microemboli or ≥3 ulcers. Ulcer 3 patients were more likely to have a stroke or death in 3 years (18% vs 2%; p = 0.03), regardless of the side on which the ulcers were found. The 3-year risk of stroke or death was 20% with microemboli vs 2% without (p = 0.003). The annual rate of ipsilateral stroke was 0.8%. CONCLUSION: Adding 3D US detection of ulcers doubles (to 10%) the proportion of patients with ACS who may benefit from endarterectomy or stenting. However, until 3-year event rates of stroke or death with endarterectomy or stenting reach <2%, 90% of patients with ACS would be better treated medically until they develop symptoms, ulcers, or emboli.
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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) | 0.000 | 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) | 0.001 | 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 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".