Occipital Dermal Sinus Tract Causing Craniospinal Infection: A Review
Bibliographic record
Abstract
Dermal sinus is a rare congenital condition characterized by a pathological tract connecting the skin to deeper tissues of the central nervous system, potentially leading to severe infectious complications. It arises from a failure in the separation of ectodermal layers during early gestation. Diagnosing dermal sinus tract in newborns requires a careful physical examination, focusing on midline dimples in the occipital region associated with cutaneous abnormalities like hairy nevus or hyperpigmentation. The presence of drainage, abnormal hair distribution, or localized swelling may indicate a sinus tract. Regular examination for dimples or sinuses is recommended for infants and children with recurrent meningitis or infections. Early detection is crucial to prevent severe complications like meningitis, with Staphylococcus aureus being a common causative organism. Neuroradiological studies, including computed tomography (CT) scan and magnetic resonance imaging (MRI), with histopathological examination are crucial for diagnosing dermal sinus tract and associated cysts. Neurosurgical intervention is important to prevent intracranial infection. Treatment involves suboccipital craniectomy, cyst and tract removal, with caution about potential complications and recurrence.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.005 | 0.004 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".