Small Cell Lung Cancer with Positive Anti-Hu Antibodies Presenting as Gastroparesis
Bibliographic record
Abstract
Lung cancer is the most common cancer in North America. Small cell lung cancer (SCLC) represents 15% to 25% of lung cancers. SCLC commonly relapses, resulting in a 3% to 8% five- year survival rate. The poor prognosis associated with SCLC is partly due to late diagnosis of the disease. Paraneoplastic syndromes can be early manifestations of SCLC. The potential benefit of early diagnosis has prompted investigations into markers of this disease. Some patients may present with predominantly gastrointestinal dysmotility symptoms that have no obvious explanation. Testing for anti-Hu antibodies, as a valuable marker of SCLC, should be considered in the investigation. A case of SCLC with positive anti-Hu antibodies presenting with intestinal pseudo-obstruction is presented. Gastrointestinal dysmotility as a manifestation of paraneoplastic syndrome is reviewed.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".