Extended follow-up of patients treated with cytotoxic chemotherapy for intra-abdominal desmoid tumors
Bibliographic record
Abstract
BACKGROUND: Cytotoxic chemotherapy can achieve a good initial response in inoperable desmoid tumors that have caused progressive obstruction of the gastrointestinal and urinary tracts and have caused unrelenting pain. METHODS: We have reviewed 8 patients (3 male) with desmoid tumors and familial adenomatous polyposis who underwent cytotoxic chemotherapy for inoperable gastrointestinal obstruction and/or uncontrolled pain. They were treated with doxorubicin and dacarbazine followed by carboplatin and dacarbazine. RESULTS: Follow-up after cytotoxic chemotherapy in the 7 patients for whom it was available was a mean of 42 (range 24-54) months. Two patients achieved complete remission after therapy. Four patients achieved a partial remission after completing all or some of the chemotherapy regimen; of these, three remained in stable remission, whereas the other was lost to follow-up. There were two recurrences that required further therapy; one of these patients was treated with further chemotherapy, which induced a second remission, and the other was treated with pelvic exenteration and has subsequently died. CONCLUSIONS: Most patients had a substantial response to cytotoxic chemotherapy; however, two patients required additional therapy 24 and 30 months after cytotoxic chemotherapy, respectively. Cytotoxic chemotherapy is effective in producing short-term and long-term remission in these difficult patients.
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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) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".