Osteovascular Conflicts in the Neck Region and Cerebrovascular Events: Illustrative Cases and Literature Review
Bibliographic record
Abstract
STUDY DESIGN: Literature Review. OBJECTIVE: Abnormal bone structures in the neck can cause headache, neck pain, and difficulty swallowing, but also cerebrovascular events. We introduce the term "osteovascular conflicts" to describe this phenomenon. The objective of this study was to conduct a literature review of such conflicts involving the anterior and posterior cerebral circulation. Furthermore, we aimed at presenting additional illustrative cases from our institution both for increasing awareness for unusual osteovascular conflicts, and for assessing the practice and care of such patients. METHODS: We focused on osteovascular conflicts in the neck leading to cerebrovascular events related to an abnormal bone structure causing arterial or venous compression, dissection, and/or occlusion. We excluded pure vascular forms without cerebrovascular repercussions. Our PubMed/MEDLINE search for articles published in any language and for which an English abstract was available (from 1966 to 2022) included Eagle's neurovascular, bow hunter's syndrome, and golfer's stroke, excluding trauma-induced artery dissections or compressions and those concerning systemic bone disorders. We also provided illustrative cases collected by the authors. RESULTS: All studies were either case reports or small case series. We found 82 cases of Eagle's neurovascular, 258 of bow hunter's syndrome, and 17 golfer's stroke cases. Mean ages were 52, 48, and 47 years, respectively. Male predominance was evident: 81% for Eagle's, 74% for bow hunter's, and 93% for golfer's. CONCLUSION: Osteovascular conflicts are rare but important causes of cerebrovascular events and often go unrecognised. A greater awareness of cerebrovascular symptoms related to these conflicts can facilitate early diagnosis and treatment.
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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.013 | 0.013 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".