Subacute Paraneoplastic Cerebellar Degeneration in an Advanced Small Cell Lung Cancer Patient: Case Report and Literature Review
Bibliographic record
Abstract
Introduction: Paraneoplastic Cerebellar Degeneration (PCD) is a rare paraneoplastic syndrome, and difficult to diagnose. PCD is associated with certain types of cancer such as ovarian cancer, uterus or its annexes, breast cancer, Hodgkin's lymphoma and small cell lung cancer (SCLC), however, this syndrome is not associated with metastatic dissemination. Here we report a case of a patient with advanced SCLC, which develop PCD. Case Report: Female patient, 51-year-old, large smoker, with advanced SCLC with involvement of abdominal lymph nodes, presented muscle weakness, without spinal cord level, during second-line treatment with Cisplatin and Irinotecan, even with important clinical response to chemotherapy. The patient developed nystagmus and cerebellar ataxia. Cerebrospinal fluid analysis and brain magnetic resonance imaging without findings. The patient was assessed by neurologist, with clinical diagnosis of subacute PCD. Patient started pulse therapy with methylprednisolone, with significant remission of neurological symptoms. Discussion and conclusion: PCD finding, although rare, usually precedes the detection of a tumor, and it is important to start early research and treatment of cancer because of better survival and patient´s quality of life. This case differs from usual descriptions found in the literature because the patient developed PCD during good clinical response in second-line treatment. PCD evolves with progression of the neurological condition in weeks to months and then stabilizes. The low incidence difficult to establish treatment strategies based on evidence for PCD, usually taking up aggressive immunotherapy, using intravenous immunoglobulin, plasmapheresis, steroids at high doses and/or immunosuppressive drugs.
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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) | 0.001 | 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) | 0.000 | 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".