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Abstract P3-13-05: Evaluating efficacy of de-escalated bisphosphonate therapy in metastatic breast cancer patients at low-risk of skeletal related events. TRIUMPH: A pragmatic multicentre trial.

2012· article· en· W1994332635 on OpenAlexaff
N. Bouganim, Lisa Vandermeer, Iryna Kuchuk, Susan Dent, Sean Hopkins, Xiaocheng Song, David H. Robbins, Patricia L Spencer, Sasha Mazzarello, JF Hilton, Eitan Amir, George Dranitsaris, Christina Addison, Ranjeeta Mallick, MJ Clemons

Bibliographic record

VenueCancer Research · 2012
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsPrincess Margaret Cancer CentreMcGill UniversityOttawa HospitalUniversity of Toronto
Fundersnot available
KeywordsMedicineBreast cancerN-terminal telopeptideInternal medicineCancerDosingBisphosphonateMetastatic breast cancerOncologySurgeryAlkaline phosphataseOsteoporosisOsteocalcin

Abstract

fetched live from OpenAlex

Abstract Background: Optimal bisphosphonate (BP) dosing intervals for breast cancer patients (pts) with bone metastases (BM) remain unknown. BP are usually prescribed q3-4 wk regardless of individual pt risk for skeletal related events (SREs). Recent evidence (Amadori J Clin Oncol, 2012 suppl; abstr 9005) shows that q12 wk BP is as effective as q4 wk in pts previously treated with >9 cycles of q4 wk therapy. Hence, further evaluation of modified BP dosing strategies is warranted. The objective of the current study was to show in women with biochemically defined low-risk bone disease that IV BP use every q12 wk for 1 year is sufficient to maintain stability of the bone turnover [measured by serum c-telopeptide (CTx) or bone specific alkaline phosphatase (BSAP)]. Methods: Eligible pts with BM, who had received >3 months of q3-4 wk IV BP and no systemic treatment change within 4 wks of study entry were enrolled. Low risk was defined as serum CTx <600 ng/L. Biochemical failure was defined as CTx levels >600 ng/L at baseline, weeks 6, 12, 24, 36 or 48. Evaluation of palliative benefit of 12-wk IV BP therapy was measured by SREs, analgesic use, and self-reported pain (BPI and FACT-BP). Results: Between Oct. 2010-Sept. 2011, 85 pts consented to screening, with 13 found ineligible. In the 71 accrued pts baseline characteristics were: mean age 60 (SD 13), median time from breast cancer diagnosis to development of bone metastases 4 months (IQR 82), median duration of prior BP therapy 14 months (IQR 19), and mean number of SREs/yr prior to entering study 0.35 (SD 0.76). Baseline median CTx was 120 ng/L (IQR 240) and BSAP 9.2 IU/L (IQR 3). To date: 26/71 pts (36%) remain on study. Reasons for coming off study include; study completion (18), elevation of CTx >600ng/L (10), or on study SRE (3). An elevation of CTx between baseline and wk 6 was significantly associated with coming off study early (p = 0.008). For pts who had had an SRE before study entry the odds ratios for coming off study early due to an on study SRE or elevated CTx was 1.005 (CI 1.002–1.009; p = 0.007) and for coming off early for an SRE was 0.0245 (CI 0.061–0.094; p = 0.046) respectively. Of the 8/13 pts who were ineligible due to baseline CTx >600ng/L, 6 had an SRE within 1 year of screening. Conclusion: De-escalating BP therapy to 12 weekly in low risk pts has advantages for both the pt and the health care system. Individual risk of SREs is highly variable, however baseline serum CTx levels <600 ng/L is associated with a low risk of subsequent SREs. While larger trials are required to assess whether increasing CTx with de-escalated therapy will lead to higher rates of SREs or not (Coleman et al. J Clin Oncol 2012 suppl; abstr 511). However, the results of this study and Amadori et al. would suggest that de-escalated BP treatment will likely become a new standard of care after a limited period of q 4wk treatment. Citation Information: Cancer Res 2012;72(24 Suppl):Abstract nr P3-13-05.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.004
metaresearch head score (Gemma)0.003
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Randomized trial · Consensus signal: Randomized trial
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.006
Threshold uncertainty score0.021

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0040.003
Meta-epidemiology (narrow)0.0020.001
Meta-epidemiology (broad)0.0030.002
Bibliometrics0.0000.001
Science and technology studies0.0000.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0020.003
Insufficient payload (model declined to judge)0.0060.001

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.

Opus teacher head0.068
GPT teacher head0.443
Teacher spread0.375 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designRandomized trial
Domainnot available
GenreEmpirical

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".

Quick stats

Citations4
Published2012
Admission routes1
Has abstractyes

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