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Abstract PS14-18: A physician survey evaluating real-world practice patterns and attitudes towards de-escalation of bone-modifying agents in patients with bone metastases from breast cancer

2021· article· en· W3132704529 on OpenAlexaffabout
Mashari Alzahrani, Mark Clemons, Lisa Vandermeer, Marta Sienkiewicz, Arif Awan, Brian Hutton, Gregory R. Pond, Terry Ng

Bibliographic record

VenueCancer Research · 2021
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsMcMaster UniversityUniversity of Ottawa
Fundersnot available
KeywordsDenosumabMedicineBreast cancerFamily medicineInternal medicineOncologyCancerOsteoporosis

Abstract

fetched live from OpenAlex

Abstract Background: Despite extensive use of bone modifying agents (BMA) in patients with bone metastases from breast cancer (BC), the optimal choice, frequency, and duration of BMA treatment remains unclear. A physician survey was performed to identify current practices and attitudes towards performing trials of de-escalation after 2 years of treatment, where very little prospective data exists. Methods: Canadian oncologists treating breast cancer were surveyed from May to June 2020 via an anonymized online survey. Physicians were approached by e-mail invitation, and a follow-up e-mail was sent 2 weeks later. The study was approved by the Ontario Cancer Research Ethics Board. The survey collected physician demographics, current practice patterns, perception on risk of symptomatic skeletal events (SSE) and BMA-associated toxicity. It also assessed attitudes towards conducting a study evaluating further de-escalation of BMAs after 2 years of treatment. Results: Of 238 potentially eligible breast oncologists on initial screening, 40 responded (response rate 16.8%; 97.5% medical oncologist). The most common BMA regimens during the first 2 years in patients with no limitations in drug coverage were denosumab q4wks for 3-4 months then q12wks [13/40 physicians (32.5%)], denosumab q4wks [7/40 (17.5%)], and zoledronate q12wks [8/40 (20%)]. For patients with no public funding for denosumab, the most common regimens were zoledronate q4wks for 3-4 months then q12wks [14/40 (35%)] and zoledronate q12wks [12/40 (30%)]. Most physicians [33/40 (82.5%)] routinely de-escalated BMA, with the most common approaches being de-escalation from the start of treatment [9/33 (27.3%)], after 3 months [7/33 (21.2%)], 6 months [6/33 (18.2%)], or 12 months [5/33 (15.2%)]. In terms of continuing BMA after 2 years, 11/40 (27.5%) felt there was benefit, 5/40 (12.5%) felt there was no benefit, and 24/40 (60%) were unsure. There was no consensus on the perceived risk of SSE or BMA-related toxicity after ≥ 2 years of BMA in breast cancer. Most physicians treating breast cancer-related bone metastases felt a de-escalation study after more than 2 years of BMA would be clinically important [i.v. bisphosphonate (BP) q12wks vs q24wks: 65%; i.v. BP q12wks vs. discontinue: 70%; denosumab q12wks vs q24wks: 57.5%; denosumab q12wks vs. discontinue: 67.5%]. Most physicians would accept SSE rate increase of < 5% with BMA de-escalation. If a study of BMA de-escalation showing non-inferiority in terms of SSE rate was not feasible, physicians would consider changing practice to de-escalated therapy if: BMA toxicity was reduced (64.1%), pain was no worse (48.7%), physical function was no worse (48.7%), or cost-utility or cost-effectiveness was improved (41%). 38.5% would only change practice if the SSE rate was not significantly worse. Conclusion: Despite their extensive use and costs, questions around optimal use of BMAs still exist. It is evident that practice varies according to patient insurance coverage, however most physicians are de-escalating BMAs. There is interest amongst clinicians in performing trials of de-escalation, especially after 2 years of treatment. Citation Format: Mashari Alzahrani, Mark Clemons, Lisa Vandermeer, Marta Sienkiewicz, Arif Awan, Brian Hutton, Gregory Pond, Terry Ng. A physician survey evaluating real-world practice patterns and attitudes towards de-escalation of bone-modifying agents in patients with bone metastases from breast cancer [abstract]. In: Proceedings of the 2020 San Antonio Breast Cancer Virtual Symposium; 2020 Dec 8-11; San Antonio, TX. Philadelphia (PA): AACR; Cancer Res 2021;81(4 Suppl):Abstract nr PS14-18.

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)0.002
metaresearch head score (Gemma)0.008
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.095
Threshold uncertainty score0.189

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0020.008
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0010.000
Open science0.0000.001
Research integrity0.0010.000
Insufficient payload (model declined to judge)0.0030.001

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 head0.232
GPT teacher head0.518
Teacher spread0.285 · 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 designObservational
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".

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Citations0
Published2021
Admission routes2
Has abstractyes

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