A Neuropsychiatric Prelude to Unveiling Small Cell Lung Cancer with Suspected Paraneoplastic Limbic Encephalitis: A Case Report
Bibliographic record
Abstract
Small cell lung cancer (SCLC) is an aggressive form of lung cancer characterized by rapid growth and early metastases. As a neuroendocrine tumour, SCLC is especially notorious for various paraneoplastic syndromes, one of which is a rare neurological syndrome called paraneoplastic limbic encephalitis (PLE) that manifests with amnestic cognitive impairment and seizures. Here, we describe a case of a 53-year-old female who presented with neuropsychiatric symptoms of delusions, hallucinations, and cognitive impairment that started months prior to being diagnosed with extensive-stage SCLC. With no previous neuropsychiatric history, this raised the question of whether her presentation was related to PLE rather than a primary psychiatric condition, as initially diagnosed. Her symptoms improved with chemotherapy and radiation treatment of the underlying cancer, favouring a paraneoplastic etiology. Overall, this case underscores the importance of considering paraneoplastic syndromes in patients presenting with new neuropsychiatric symptoms, as early recognition and treatment can improve prognosis.
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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 | 0.003 | 0.001 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.005 | 0.005 |
| Insufficient payload (model declined to judge) | 0.002 | 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".