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 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 | 0.003 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.003 |
| 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".