rare presentation of autoimmune limbic encephalitis with anti-Yo antibodies: Case report
Bibliographic record
Abstract
Introduction: Paraneoplastic limbic encephalitis is a non-metastatic complication of malignant disease characterized by subacute neuropsychiatric symptoms and short-term memory deficits. Case: We present an atypical case of a 38-year-old, previously healthy female with recurrent seizures, severe persistent short-term memory loss, and emotional lability. The patient was diagnosed with autoimmune limbic encephalitis confirmed by magnetic resonance imaging findings and positive anti-Yo antibodies. She screened negative for occult malignancies. The patient responded to daily prednisone and intravenous immunoglobulins and her cognitive deficits were resolved. Conclusion: This is an unusual case of autoimmune encephalitis as anti-Yo antibodies are typically associated with cerebellar dysfunction. Our patient’s case adds to the one other published case showing induction of limbic encephalitis due to anti-Yo antibodies, and prompts consideration of paraneoplastic anti-Yo limbic encephalitis as a rare cause of symptoms in patients with limbic encephalitis-like symptoms and no known etiology.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 teacher head, 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".