Effect of osteoporosis in postmenopausal breast cancer patients randomized to adjuvant exemestane or anastrozole: NCIC CTG MA.27.
Bibliographic record
Abstract
501 Background: NCIC CTG MA.27 compared adjuvant steroidal [exemestane (E)] and non-steroidal [anastrozole (A)] aromatase inhibitors (AIs) and showed neither to be superior in breast cancer outcomes. AIs are known to increase the risk of osteoporosis. We examined the effects of baseline or subsequent self reported osteoporosis on disease outcomes. Methods: MA.27 enrolled 7,576 women. Event free survival (EFS) was the primary endpoint. Distant disease-free-survival (DDFS) was a secondary outcome. MA.27 permitted bisphosphonates to prevent or treat osteopenia or osteoporosis unless prohibited by enrollment to one of two cohorts in a bone substudy. Osteoporosis was considered present for this analysis if reported at baseline or prior to relapse or breast cancer death. Multivariate stratified Cox regression was used to examine the effects of trial therapy, osteoporosis, baseline patient and tumour characteristics on EFS; DDFS; bone only relapse; bone concurrent with other relapse; and non-bone recurrence. Bone marrow recurrence (N=8) was excluded. Results: Osteoporosis was reported at baseline by 654 of 7576 (8.6%) women, and prior to relapse by an additional 661 women. EFS events occurred in 693/7576 (9.15%). Osteoporosis was significantly associated with better EFS [HR 0.81 (95% CI 0.66-0.99), p=0.04] with no difference in multivariate HR of E vs A: 1.02, 95% CI 0.88-1.19, p=0.77. Women experienced 313 (4.1%) DDFS events. Osteoporosis was associated with better DDFS [HR 0.71 (95% CI 0.51-0.98), p=0.04], adjusted HR of E to A: 0.94 (95% CI of 0.75-1.17), p=0.56. Both EFS and DDFS interactions of osteoporosis with trial therapy were not significant (p>0.05). Osteoporosis was not significantly associated with the site of relapse. Conclusions: Osteoporosis had a significant prognostic association with improved EFS and DDFS in women treated with AIs. We plan to investigate the use of bisphosphonates, raloxifene treatment prior to randomization, and markers of bone resorption with outcome.
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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 | 0.002 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".