Clinical Characteristics and Outcome Trends of Adjuvant Anthracycline and Taxane Regimen for Early Stage Breast Cancer
Bibliographic record
Abstract
BACKGROUND: The anthracycline and taxane-based chemotherapy treatment regimen remains the gold standard for treatment of early stage breast cancer. However, studies examining the effectiveness and use of this treatment regimen in Indian context are limited. This study examined patients treated with anthracycline and taxane-based chemotherapy at a tertiary care cancer center in India. METHODS: Patients with confirmed early stage breast cancer who had undergone primary breast surgery followed by treatment with anthracycline and taxane-based chemotherapy between 2009 and 2015 were included in the study. Data on clinical characteristics and treatment details were collected from the patients' medical records. RESULTS: Two hundred sixty-four women were included in the analysis. The median age at presentation was 50 years. Among the 264 women, 40.5% were premenopausal, 1.2% were perimenopausal, and 58.3% were postmenopausal. The number of patients undergoing breast-conserving surgery (BCS) and modified radical mastectomy (MRM) were 35.2% and 64.7%, respectively. Patients with a tumor grade of 1, 2, and 3 were 7.2%, 53.1%, and 39.7%, respectively. Tumors were unifocal in 81.1% and multifocal in 18.2% of patients. Estrogen receptor (ER), progesterone receptor (PR), and human epidermal growth factor receptor-2 (HER-2) positivity was detected in 58.3%, 54.2%, and 3.1% of patients, respectively and 38.6% of patients were triple negative. With a median follow-up of 36.2 months, the invasive disease-free survival rate was 90.9% and mean disease-free survival time was 65.4 ± 1.13 months. CONCLUSIONS: The results of this study confirm the clinical utility of anthracycline and taxane-based chemotherapy regimen as the adjuvant chemotherapy treatment of early stage breast cancer.
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How this classification was reachedexpand
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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".