Occipital Condyle Syndrome as the First Sign of Metastatic Cancer
Bibliographic record
Abstract
BACKGROUND: Occipital condyle syndrome is characterized by severe, unilateral, occipital headache and ipsilateral twelfth-nerve palsy. It is associated with skull-base metastasis. CASES: We identified two patients with sub-acute onset of severe, unilateral, occipital headache and ipsilateral tongue paralysis. The first patient was a 58-year-old woman with a history of limited stage small-cell lung cancer in clinical remission. The second patient was an otherwise healthy 36-year-old man. Neither patient had any other findings on general medical or neurological examination. One patient had only equivocal findings on initial magnetic resonance imaging (MRI), and the other patient's MRI was normal. Although initial work-up for metastatic disease was normal, the first patient developed severe bone pain over the next few months, and follow-up investigations demonstrated metastases to her spine, tibia, skull base and brain. The second patient improved initially, but was admitted to hospital three months later with constitutional symptoms and pancytopenia. Bone marrow and lymph node biopsies were consistent with Stage IVB Hodgkin's lymphoma. CONCLUSION: Occipital condyle syndrome can be the first presentation of disseminated malignancy. Initial imaging of the brain and skull base may be normal, and recognition of this syndrome warrants thorough investigation and close follow-up.
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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 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".