Cyclophosphamide, Epirubicin, and Fluorouracil Versus Dose-Dense Epirubicin and Cyclophosphamide Followed by Paclitaxel Versus Doxorubicin and Cyclophosphamide Followed by Paclitaxel in Node-Positive or High-Risk Node-Negative Breast Cancer
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 Cyclophosphamide, epirubicin, and fluorouracil (CEF) and doxorubicin and cyclophosphamide (AC) followed by paclitaxel (T) are commonly used adjuvant regimens in women with early breast cancer. In a previous trial in women with locally advanced breast cancer, 3 months of high-dose epirubicin and cyclophosphamide (EC) administered every 2 weeks (dose-dense) was equivalent to 6 months of CEF. We hypothesized that 3 months of paclitaxel after dose-dense EC (EC/T) would be superior to CEF or AC/T. METHODS After lumpectomy or mastectomy, women 60 years of age or younger with axillary node-positive or high-risk node-negative breast cancer were randomly assigned to receive CEF, EC/T, or AC/T for 6 months. This article reports the interim analysis for recurrence-free survival (RFS), which was planned after 227 recurrences. Results A total of 2,104 patients were enrolled. The median follow-up is 30.4 months. Hazard ratios for recurrence are as follows: AC/T versus CEF, 1.49 (95% CI, 1.12 to 1.99), P = .005; AC/T versus EC/T, 1.68 (95% CI, 1.25 to 2.27), P = .0006; and EC/T versus CEF, 0.89 (95% CI, 0.64 to 1.22), P = .46. Three-year RFS rates for CEF, EC/T, and AC/T are 90.1%, 89.5%, and 85.0%, respectively. There was more febrile neutropenia with CEF (22.3%) and EC/T (16.4%) compared with AC/T (4.8%), but more neuropathy with the last two regimens. CONCLUSION Three-weekly AC/T is significantly inferior to CEF or EC/T in terms of RFS. It is too early to detect any difference between CEF and dose-dense EC/T.
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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.003 |
| 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