Definitive Results of a Phase III Adjuvant Trial Comparing Three Chemotherapy Regimens in Women With Operable, Node-Positive Breast Cancer: The NSABP B-38 Trial
Bibliographic record
Abstract
PURPOSE: Anthracycline- and taxane-based three-drug chemotherapy regimens have proven benefit as adjuvant therapy for early-stage breast cancer. This trial (NSABP B-38; Combination Chemotherapy in Treating Women Who Have Undergone Surgery for Node-Positive Breast Cancer) asked whether the incorporation of a fourth drug could improve outcomes relative to two standard regimens and provided a direct comparison of those two regimens. PATIENTS AND METHODS: We randomly assigned 4,894 women with node-positive early-stage breast cancer to six cycles of docetaxel, doxorubicin, and cyclophosphamide (TAC), four cycles of dose-dense (DD) doxorubicin and cyclophosphamide followed by four cycles of DD paclitaxel (P; DD AC→P), or DD AC→P with four cycles of gemcitabine (G) added to the DD paclitaxel (DD AC→PG). Primary granulocyte colony-stimulating factor support was required; erythropoiesis-stimulating agents (ESAs) were used at the investigator's discretion. RESULTS: There were no significant differences in 5-year disease-free survival (DFS) between DD AC→PG and DD AC→P (80.6% v 82.2%; HR, 1.07; P = .41), between DD AC→PG and TAC (80.6% v 80.1%; HR, 0.93; P = .39), in 5-year overall survival (OS) between DD AC→PG and DD AC→P (90.8% v 89.1%; HR, 0.85; P = .13), between DD AC→PG and TAC (90.8% v 89.6%; HR, 0.86; P = .17), or between DD AC→P versus TAC for DFS (HR, 0.87; P = .07) and OS (HR, 1.01; P = .96). Grade 3 to 4 toxicities for TAC, DD AC→P, and DD AC→PG, respectively, were febrile neutropenia (9%, 3%, 3%; P < .001), sensory neuropathy (< 1%, 7%, 6%; P < .001), and diarrhea (7%, 2%, 2%; P < .001). Exploratory analyses for ESAs showed no association with DFS events (HR, 1.02; P = .95). CONCLUSION: Adding G to DD AC→P did not improve outcomes. No significant differences in efficacy were identified between DD AC→P and TAC, although toxicity profiles differed.
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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 | 0.003 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.002 | 0.003 |
| Insufficient payload (model declined to judge) | 0.008 | 0.001 |
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".