Clinical experiences of solid pseudopapillary tumors of the pancreas in China
Bibliographic record
Abstract
AIMS: To discuss the clinical experiences of solid pseudopapillary tumors (SPTs) of the pancreas by summarizing clinical information of patients with this disease in China. METHODS: Chinese literature concerning SPTs of the pancreas published between January 1996 and October 2006 were retrospectively reviewed and analyzed. RESULTS: A total of 390 cases had been reported, among which 47 were men, with a female to male ratio of 7.30:1. Mean age of the patients was 25.3 years old, more than 50 per cent were between 10 and 24 years. The mean diameter of the tumor was 8.4 cm (range, 2 cm-25 cm). There was no significant difference in patient age and tumor size between male and female. Major clinical presentations included abdominal pain or discomfort, and palpable abdominal masses, however, nearly one third of all patients were asymptomatic. The rate of pre-operative misdiagnosis was rather high. Those who tested positive to metastases or invasions, 14.4% of the patients were diagnosed as malignant SPTs. Sex, age, symptoms, tumor size and tumor markers were not significant clinical factors to predict SPTs with malignant potential. Surgical procedures mainly included pancreatoduodenectomy, distal pancreatectomy and local resection. Three patients developed local recurrence, and one patient developed hepatic metastasis, all within four years after tumor resection. Five patients with malignant SPTs died due to tumor progression within 25 months after surgery. CONCLUSIONS: Surgical resection is the most effective means for curing this rare tumor. Despite metastasis, a good satisfactory effect could be achieved by surgical debulking. At least 4-yearly follow-up is mandatory for all patients undergoing surgical resection.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".