Optimal therapy for desmoid tumors: current options and challenges for the future
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Desmoid tumors, or aggressive fibromatosis, are rare, locally infiltrative neoplasms caused by mutations that activate β-catenin. Although these tumors do not metastasize, they are difficult to manage due to variability in tumor presentation and behavior. A variety of treatment options exist, including surgery, radiotherapy, chemotherapy, hormone therapy, isolated limb perfusion, cryoablation and tyrosine kinase inhibitors. Treatment-induced morbidity and poor local control rates, combined with spontaneous stabilization of some desmoid tumors, have allowed watchful waiting to recently emerge as a front-line management option. This has emphasized the need to better understand tumor behavior in order to differentiate between tumors that may stabilize and those that may progress. Here, we review the most recent findings in desmoid tumor biology and treatment options for this enigmatic disease.
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.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| 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) | 0.000 | 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 it