Effect of adjuvant chemotherapy on bone resorption marker beta C-telopeptide (B-CTX) in postmenopausal women
Bibliographic record
Abstract
594 Background: In NCIC CTG MA.14, a randomized trial of tamoxifen versus tamoxifen + octreotide LAR, we found a measure of bone resorption, serum B-CTx, to be significantly associated with bone-only first recurrence. Administration of chemotherapy was permitted, and chemotherapy was a stratification factor (never, concurrent, sequential). It was unclear whether pretrial B-CTx serum levels would be affected by prior administration of chemotherapy, and whether timing of chemotherapy was associated with who had bone only, or bone and other site relapse. Methods: Serum B-CTx concentration (Serum CrossLaps Nordic Biosciences, Copenhagen, DN) was determined pretrial therapy in 621 of 667 primary breast cancer patients on MA.14. We tested for differences in continuous B-CTx levels in those who had assessment before (any) chemotherapy (included those who had none) versus those who were assessed after chemotherapy with an ANOVA test. We also used exact Fisher tests to examine whether there was an association between timing of (any) chemotherapy and 1) B-CTx values in upper 2.5% range for healthy pre-menopausal women; 2) bone only recurrence; and 3) concurrent bone and other relapse. Results: Serum B-CTx was assessed before (any) chemotherapy on 382/621 (61.5%) of patients, and after chemotherapy on 239/621 (38.5%). There were no significant differences in serum B-CTx values (p = 0.27). We found 92/621 (14.8%) of patients had high serum B-CTx levels compared with healthy pre-menopausal women; similar proportions of these women received chemotherapy after B-CTx assessment (p = 0.42). Furthermore, there were no differences in timing of (any) chemotherapy and those who had bone only recurrence (p = 0.48) or bone and other type of relapse (p = 0.76). Conclusions: Chemotherapy in the adjuvant setting had no significant effect on bone resorption marker B-CTX serum levels. No significant financial relationships to disclose.
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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 | 0.001 | 0.002 |
| 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) | 0.001 | 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".