Malignant triton tumors—complete surgical resection and adjuvant radiotherapy associated with improved survival
Bibliographic record
Abstract
BACKGROUND: Malignant triton tumors (MTT) are a rare form of peripheral nerve sheath tumors that follows a particularly aggressive course. Given its rarity, only case reports and small series of patients have been published. METHODS: A Pubmed search was conducted (1966-2009) using the terms "triton tumor," "rhabdomyosarcoma," and "malignant peripheral nerve sheath tumor." The reference lists of retrieved articles were searched. Cases were included when the diagnosis was clear, the patient underwent surgery, and follow-up data were available. Univariate and multivariate analyses were conducted for predictors of positive resection margin, local recurrence/progression, development of metastases, and mortality. RESULTS: A total of 124 cases were included. The overall 5-year survival was 14% and the median time to death was 13 months. The overall local recurrence/progression rate was 50% and the median time to recurrence/progression was 6 months. On multivariate Cox proportional hazards analysis, positive margin status (HR 2.2, P = 0.01), local recurrence/progression (HR 3.1, P = 0.003), and development of metastases (HR 2.6, P = 0.003) were associated with mortality. Adjuvant radiotherapy was associated with improved survival (HR 0.4, P = 0.005). CONCLUSION: Complete surgical resection and adjuvant radiotherapy should be the cornerstones of treatment for MTT.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| 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".