Paclitaxel and Carboplatin, Alone or With Irradiation, in Advanced or Recurrent Endometrial Cancer: A Phase II Study
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
PURPOSE: To evaluate the efficacy of carboplatin plus paclitaxel in primarily advanced or recurrent endometrial cancers. PATIENTS AND METHODS: Four distinct patient groups received carboplatin (area under the curve, 5 to 7) plus paclitaxel 175 mg/m(2) for 3 hours at 4-week intervals: group 1 (n = 21), patients with primarily advanced, nonpapillary serous cancers; group 2 (n = 20), the same as group 1 but with papillary serous cancers; group 3 (n = 18), recurrent, nonpapillary serous cancers; and group 4 (n = 4), recurrent, papillary serous cancers. Involved-field irradiation was used in groups 1 and 2 for those with radioencompassable disease. RESULTS: Sixty-three patients were treated. Response rates to chemotherapy in the assessable patients in the four groups were 78% (95% confidence interval [CI], 51% to 100%); 60% (95% CI, 35% to 85%), 56% (95% CI, 34% to 78%), and 50%, respectively. Nineteen patients (90%) in group 1 also were irradiated, and the median failure-free survival time for all 21 patients was 23 months, with a 62% 3-year overall survival rate. Eleven patients (55%) in group 2 were irradiated, and the median failure-free survival time for all 18 patients was 18 months, with a 39% 3-year overall survival rate. The median failure-free interval in the patients in group 3 was 6 months, with a 15-month median overall survival time. Toxicity was manageable, reversible, and predominantly hematologic. Two patients developed neutropenic fever, and three patients, including these two, were hospitalized for complications. CONCLUSION: Carboplatin-paclitaxel is an efficacious, low-toxicity regimen for managing primarily advanced or recurrent endometrial cancers.
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 | 0.002 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 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 | 0.001 |
| 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