A Case of Sigmoid Colon Cancer in which Somatic Pain was Rapidly Alleviated after Panitumumab Administration Despite Tumor Progression
Bibliographic record
Abstract
We present a 72-year-old woman with sigmoid colon cancer in whom the somatic pain was alleviated rapidly after the administration of anti-epidermal growth factor antibodies. Our patient had received 4 cycles of FOLFIRI therapy (irinotecan, 5-fluorouracil, and leucovorin) in combination with panitumumab (Pmab) for the treatment of unresectable primary cancer accompanied with multiple liver metastases and peritonitis carcinomatosa. As grade 3 paronychia eventually occurred, chemotherapy was stopped. After recovery of the grade 3 paronychia, Pmab was re-introduced and administered every alternate cycle to reduce the extent of adverse events. The patient had complained of somatic pain in the lower right abdomen just before re-initiating Pmab administration. The pain intensity decreased immediately after the administration of Pmab. On the next day her pain had remarkably alleviated and she was free from pain for a week. This phenomenon was repeatedly observed. After the re-introduction of Pmab, tumor response was evaluated on computed tomography, which showed progressive disease. We demonstrated that Pmab was effective in the alleviation of somatic pain, although the size of the tumors gradually increased.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".