Subclavian steal syndrome treated by kissing stenting of the subclavian and vertebral arteries
Bibliographic record
Abstract
The prevalence of subclavian artery (SA) stenosis is approximately 2%. The exact prevalence of extracranial vertebral artery (VA) stenosis is undetermined, with estimates ranging from 7% to 40%. Nearly 25% of ischaemic strokes involve the vertebrobasilar circulation, and arteriosclerotic disease and narrowing of the proximal VA may be the cause for up to one-fifth of these incidents. The bulk of SA stenoses occur proximally to the ostium of the VA. Vertebrobasilar ischaemia can be caused both by VA and SA stenosis. Surgical and endovascular approaches are potential treatment options for SA/VA stenosis. It has been demonstrated that endovascular intervention is considerably safer for this pathology, and with advances in device technology, angioplasty with stenting has become the preferred treatment option. We present the case of a 76-year-old man who presented with vertebrobasilar ischaemia from coexisting stenosis of the SA/VA which was treated by endovascular methods.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 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".