Successful salvage of relapsed high-risk gestational trophoblastic neoplasia patients using a novel paclitaxel-containing doublet.
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
OBJECTIVE: To describe one institution's results with a novel 3-drug doublet, consisting of paclitaxel, etoposide and cisplatin, for salvage of relapsed high-risk gestational trophoblastic neoplasia (GTN) patients. STUDY DESIGN: Analysis of treatment results with the doublet regimen in two patients with recurrent/persistent high-risk choriocarcinoma in the Division of Gynecologic Oncology, Toronto-Sunnybrook Regional Cancer Centre, University of Toronto. Both patients had been treated previously with one or more of the doublet drugs. RESULTS: Both patients experienced complete responses, patient 1 for 13 months and patient 2 for 9. Patient 1 required surgical resection of a single focus of recurrence and was again in complete remission 27 months after completing her last course of doublet chemotherapy. Patient 2 has not relapsed since completing the treatment. CONCLUSION: The doublet regimen appears capable of producing a sustained response in patients with recurrent high-risk GTN who have previously undergone extensive chemotherapy. Further, the regimen seems to be reasonably well tolerated.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| 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