Dose-intensive chemotherapy in advanced adult soft tissue sarcoma
Bibliographic record
Abstract
The treatment of metastatic soft tissue sarcomas in adults is one of the most challenging areas in oncology. While multidisciplinary management of early-stage, localized disease has led to a number of improved outcomes, therapy of unresectable or advanced disease remains problematic. Virtually every conventional cytotoxic agent has been systematically assessed in this malignancy, yet only a handful have demonstrated significant activity. Adriamycin and ifosfamide are the only chemotherapeutic drugs to have consistently produced response rates of over 20% when given as single agents and these two drugs have been exhaustively studied alone or in combination. Recent efforts to improve response rates and, by inference, disease-free survival and overall survival, have involved exploration of high-dose regimen incorporating growth factors and/or autologous cellular support. In this article, the status of dose-intensive chemotherapy in advanced adult soft tissue sarcomas (excluding pediatric histologies, such as Ewing's sarcoma and rhabdomyosarcoma) will be discussed. Emphasis will be placed on data from randomized Phase III trials but information from Phase I/II studies will also be reviewed and recommendations will be made on a systematic analysis of the data.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".