Spontaneous regression of pancreatic cancer
Bibliographic record
Abstract
Background: Spontaneous tumor regression has been the object of considerable interest and speculation for hundreds, if not thousands of years. It has been reported following a wide diversity of infec-tions. We describe a case of spontaneous pancreatic cancer regression and review the relevant literature. Case report: A 50-year-old male presented with a history of weight loss, anorexia and discomfort after meals. Oncology workup revealed pancreatic adenocarcinoma (T2N1M0, stage IIIb). A two-week regimen of radiotherapy combined with seven weeks of gemcitabine failed to alter the progress of the disease. However, a subsequent perforated duodenal ulcer was followed by severe peritonitis, fever, and tumor regression. Conclusions: A review of the literature uncovered only three previous cases of spontaneous pancreatic can-cer regression. The authors discuss the importance of the acute febrile immune response, which appears to be an underappreciated mediator of tumor regression. Key words: fever•infection•leukocytes•pancreatic neoplasms•spontaneous regression
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".