Case: Secondary polycythemia due to pazopanib in patients with metastatic renal cell carcinoma
Bibliographic record
Abstract
Clear-cell renal cell carcinoma (RCC) is the most common primary malignant renal neoplasm. Up to 30% of patients have metastatic disease at the time of initial diagnosis.1 Small molecule inhibitors of vascular endothelial growth factor receptor tyrosine kinase (VEGFR TKIs) are used as first-line treatment for most patients with incurable RCC. Pazopanib is a TKI inhibiting VEGFR,1-3 as well as plateletderived growth factor receptors (PDGFRs) α and β and stem cell receptor c-kit. The most common side effects of pazopanib are diarrhea, hypertension, changes in hair colour, anorexia, nausea, and vomiting. Severe hepatic toxicity is the adverse effect of greatest concern,but is uncommon. Myelosuppressive effects are also noted, such as anemia, thrombocytopenia, and leukopenia, and are presumably mediated through c-kit inhibition. Erythrocytosis is a wellrecognized paraneoplastic syndrome associated with RCC; however, erythrocytosis due to pazopanib therapy has only recently been described. We report two cases and review of the literature related to this phenomenon.
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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) | 0.002 | 0.002 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.004 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.007 | 0.006 |
| 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".