[Report of 14 cases with pancreatoblastoma].
Bibliographic record
Abstract
OBJECTIVE: To analyze clinical features, outcomes and correlative prognostic factors of the disease. METHOD: Totally 14 newly diagnosed children with pancreatoblastoma at Shanghai Children's Medical Center, Children's Hospital of Chongqing Medical University, Sun Yat-sen University Cancer Center and Beijing Children's Hospital were enrolled into this study between April 2003 and July 2013. The clinical features, surgery, chemotherapy protocol and prognostic factors of patients were retrospectively analyzed. RESULT: The median age at diagnosis was 6.5 years (0.6 to 11 years). Four cases had local tumor, 9 cases had local invasion, and in 1 case lung and liver metastasis was found at diagnosis. Increased serum α-fetoprotein were found in 8 cases (66-54,000 μg/L). In 8 patients the tumor was resected at first. The remaining 6 patients had biopsy and in four of them the tumor was completely resected after 4-6 cycles of chemotherapy. Except for 2 patients who gave up treatment, all the other patients fulfilled the comprehensive treatment including surgery and chemotherapy. One patient received radiofrequency ablation. The median follow-up period was 26 months(16-140 months). The estimated 2 year event free survival was (66.7 ± 13.6)%.On univariate analysis, non-resectable tumor(χ(2) = 6.663, P = 0.010), progression and metastases during treatment(χ(2) = 14.927, P = 0.000), poor response to treatment(χ(2) = 12.293, P = 0.000)were independent predictors for poor prognosis. CONCLUSION: Complete resection and complete remission after treatment were excellent prognostic factors. Some initially unresectable disease seems to be resectable after adjuvant chemotherapy, which may be a key point of treatment strategy.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 0.002 |
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".