Experience with aggressive therapy in three children with unresectable malignant liver tumors
Bibliographic record
Abstract
BACKGROUND: Children with malignant liver tumors often present with unresectable disease but need not be considered incurable. The advent of effective chemotherapy makes aggressive management feasible, as our experience with three such patients demonstrates. Procedure and Results One child with an unresectable undifferentiated sarcoma of the liver and two others with unresectable primary hepatoblastoma and lung metastases were treated with initial chemotherapy, followed by aggressive surgical management. Treatment with chemotherapy followed by hepatectomy and liver transplantation (cadaveric or live donor) in two children has resulted in disease-free survivals of 79 and 38 months. The third patient is alive and well 24 months following chemotherapy and aggressive resection of the primary and 12 metastatic lesions. CONCLUSIONS: Initial chemotherapy for unresectable liver tumors with or without metastases is supported by the review of the literature. Consideration of orthotopic liver transplantation (OLT) from cadaveric or living related donor is warranted when the malignancy is demonstrably chemosensitive, independent of initial staging. Aggressive resection of primary and metastatic disease may be called for in selected cases.
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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 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.002 | 0.001 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".