Seronegative Paraneoplastic Opsoclonus–Myoclonus–Ataxia Syndrome Secondary to Low Volume Endocrine-Sensitive Malignancy of Likely Breast Origin
Bibliographic record
Abstract
A 51-year-old female presented to the emergency department with vertigo, visual disturbances, involuntary rapid repetitive eye movements, incoordination, and imbalance. Physical examination revealed opsoclonus, myoclonus, and bilateral limb and gait ataxia. Initial workup was negative for intracranial abnormalities, and no abnormalities were noted on blood work or cerebrospinal fluid analysis. Tumor markers were within normal limits. As part of her diagnostic workup, a positron emission tomography (PET) scan was performed, which showed a highly FDG-avid solitary 7 mm left axillary lymph node. Ultrasound-guided percutaneous biopsy revealed metastatic poorly differentiated carcinoma. Histopathological examination could not conclusively distinguish between adenocarcinoma and squamous cell carcinoma. She was diagnosed with seronegative opsoclonus-myoclonus ataxia syndrome of paraneoplastic origin from an occult primary malignancy and started on pulsatile corticosteroids and intravenous immunoglobulin (IVIG), with only moderate symptomatic improvement. Given the anatomic location and immunohistochemical staining pattern of the lymph node, the malignancy was considered as being of primary breast origin. A left axillary lymph node dissection was performed, with 1/12 nodes testing positive for poorly differentiated carcinoma. The patient experienced significant improvement in her neurological symptoms 2-3 days following resection of the solitary malignant lymph node, largely regaining her functional independence. She went on to receive adjuvant radiotherapy to the breast and axilla, as well as adjuvant hormonal therapy.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 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) | 0.002 | 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".