Successful Surgical Management of Locally Advanced Renal Cell Carcinoma Invading Spleen and Pancreas
Bibliographic record
Abstract
Over the last two decades, the treatment of metastatic RCC has changed significantly, and the role of surgery is being debated. A 50-year-old man presented with pain in his left loin. An ultrasound, followed by a CT scan, revealed a 17.5 cm left renal mass invading the left suprarenal gland, spleen, and pancreatic tail. Radical nephrectomy through chevron incision under epidural block with general anesthesia was performed. The entire mass was removed en bloc. The estimated blood loss was 300 mL, and no blood transfusions were performed. The operation took approximately 2 h. Histological examination revealed clear cell renal carcinoma with extension into the spleen, pancreatic tail, and diaphragmatic fibers with negative resection margin. The patient discharged after a 3-day uneventful hospital stay. Aggressive surgical removal of a locally invasive renal cell carcinoma is feasible and should be considered in patients with good performance status and no or minimal distant metastases.
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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 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 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".