Efficacy of fulvestrant 500 mg in Chinese postmenopausal women with advanced/recurrent breast cancer and factors associated with prolonged time-to-treatment failure
Bibliographic record
Abstract
This study was to investigate the efficacy and safety of fulvestrant 500 mg for the treatment of hormone receptor positive advanced postmenopausal women, including ovarian ablation and investigated factors associated with prolonged time-to-treatment failure.Data from 60 women with metastatic breast cancer who were treated at Zhejiang Cancer Hospital. Patients received 500 mg (n = 60) between December 2011 and November 2012 were followed until November 2017. Main outcomes were clinical responses to fulvestrant, including best response, progressive disease, partial response, and stable disease lasting 12 months or more. Time to progression and time to progression-free-survival were also analyzed.Among the included 60 patients (mean age 47.18 years), 51 (85.0%) had received prior adjuvant therapy. During follow-up after fulvestrant treatment, the median PFS for the best response was derived as 7.0 months (inter-quartile = 4, 13.8 months). The observed median progression-free-survival time for best response was represented longer when fulvestrant was first-line treatment than when patients received prior endocrine and/or chemotherapy. Univariate analysis revealed that receiving either endocrine therapy only or endocrine therapy plus chemotherapy prior to fulvestrant treatment may be associated with median progression-free survival time to best response (P = .002, .026, .007, respectively).Fulvestrant treatment is safe and well-tolerated in women with hormone-sensitive advanced breast cancer, and first-line fulvestrant therapy increases progression-free-survival time, especially in patients without prior adjuvant treatment.
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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 | 0.000 | 0.001 |
| 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 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".