Wyburn-Mason syndrome – A rare preventable cause of CV stroke in young.
Bibliographic record
Abstract
Introduction : Wyburn-Mason syndrome is a rare condition considered as one of the nonhereditory congenital phacomatosis,characterised by arterio-venous malformations that affects retina,visualpathway,mid-brain and facial structures with no age and sex predilection.To the date ,fewer than 100 cases have been reported in the literature 1 .soherein we are reporting a case of Wyburn-Mason syndrome.Case report : A 22 years male ,presented with acute onset of weakness in right upper and lower limb since 3 days,associated with right eye ptosis and deviation of angle of mouth to left.It was preceded by an episode of vomitting and generalised tonic clonic seizure .CT Brain revealed fresh haemorrhage in left Basal ganglia and CT Angiography Brain revealed A-V malformation on left side.Fundus examination revealed venous dilatation with tortousity of vessels in left eye.Patient also had congenital port wine coloured skin lesion over right side of face not crossing midline.So in view of AVM involving brain,retina and facial structures, it was diagnosed as Wyburn-Mason syndrome.presentingas intracranial haemorrhage in young patient.Conclusion : The presentation of patients with Wyburn-Mason syndrome can vary greatly according to site and extent of vascular lesions without age and sex predilection.The natural course of intracranial AVM's is poorly documented.However ,they tend to be extensive and inaccessible.soearly diagnosis is important preventive strategy.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".