High cardiovascular event rates in patients with asymptomatic carotid stenosis: the REACH registry*
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND AND PURPOSE: Data on current cardiovascular event rates in patients with asymptomatic carotid artery stenosis (ACAS) are sparse. We compared the 1-year outcomes of patients with ACAS > or =70% versus patients without ACAS in an international, prospective cohort of outpatients with or at risk of atherothrombosis. METHODS: The Reduction of Atherothrombosis for Continued Health Registry enrolled patients with either > or =3 atherothrombotic risk factors or established atherothrombotic disease. We investigated the 1-year follow-up data of patients for whom physicians reported presence/absence of ACAS at the time of inclusion. RESULTS: Compared with patients without ACAS (n = 30 329), patients with ACAS (n = 3164) had higher age- and sex-adjusted 1-year rates of transient ischaemic attack (3.51% vs. 1.61%, P < 0.0001), non-fatal stroke (2.65% vs. 1.75%, P = 0.0009), fatal stroke (0.49% vs. 0.26%, P = 0.04), cardiovascular death (2.29% vs. 1.52%, P = 0.002), the composite end-point cardiovascular death/myocardial infarction/stroke (6.03% vs. 4.29%, P < 0.0001) and bleeding events (1.41% vs. 0.81%, P = 0.002). In patients with ACAS, Cox regression analyses identified history of cerebrovascular ischaemic events as most important predictor of future stroke (HR 3.21, 95% CI 1.82-5.65, P < 0.0001). CONCLUSION: Asymptomatic carotid artery stenosis was associated with high 1-year rates of cardiovascular and cerebrovascular ischaemic events. Stroke was powerfully predicted by prior cerebrovascular ischaemic events.
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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) | 0.000 | 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) | 0.000 | 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 it