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Usage and factors associated with adjuvant bisphosphonate therapy among postmenopausal women diagnosed with early-stage breast cancer.

2020· article· en· W3030821017 on OpenAlexaffabout
Veera Durga Sravanthi Panuganty, Suganija Lakkunarajah, Sumugan Shanmuganathan, Morgan Black, Sharifa Nasreen, Igor Karp, Theodore A. Vandenberg, Jacques Raphael, Ricardo Fernandes, Phillip Blanchette

Bibliographic record

VenueJournal of Clinical Oncology · 2020
Typearticle
Languageen
FieldMedicine
TopicBone health and treatments
Canadian institutionsWestern University
Fundersnot available
KeywordsMedicineBreast cancerInternal medicineOncologyBisphosphonateAdjuvant therapyOdds ratioCancerStage (stratigraphy)GuidelineRetrospective cohort studyGynecologyOsteoporosisPathology

Abstract

fetched live from OpenAlex

e12532 Background: Early Breast Cancer Trialist Collaborative Group meta-analysis suggested significant reduction in bone metastasis and breast cancer mortality among post-menopausal women diagnosed with early breast cancer when treated with an adjuvant bisphosphonate. Cancer Care Ontario and American Society of Clinical Oncology clinical practice guideline published in 2017, recommends the use of an adjuvant bisphosphonate in postmenopausal women who are candidates for adjuvant systemic therapy. Our goal was to evaluate trends and factors associated with adjuvant bisphosphonate usage since the guideline’s publication. Methods: This study is a retrospective review of postmenopausal women treated for early breast at the London Regional Cancer Program from 2017-2018. Univariate and a multivariable logistic regression models were used to investigate factors potentially associated with adjuvant bisphosphonate use including age, stage, grade, estrogen receptor, progesterone receptor, HER2 receptor status and previous use of adjuvant chemotherapy. The percentage of patients offered, receiving and declining therapy was also recorded and the time interval from surgery to start of bisphosphonate therapy (< 6 months, 6-12 months or >12 months). Results: We identified 286 postmenopausal breast cancer patients, of whom 75 (28%) received adjuvant bisphosphonate therapy. In our multivariable model, cancer stage [odds ratio (OR) stage II vs. I=2.26, 95% confidence interval (CI) 1.08-4.74) and OR Stage III vs. I=4.94, 95% CI 1.84-13.17] and previous use of adjuvant chemotherapy (OR=2.76, 95%CI 1.37-5.55) were significantly associated with adjuvant bisphosphonate use. Among 133 patients who received adjuvant systemic chemotherapy, 51% were offered adjuvant bisphosphonate and of these 81% patients accepted therapy. Among a total of 75 patients receiving adjuvant bisphosphonate therapy 19% initiated therapy within 6 months of surgery, 48% within 6-12 months of surgery, and 33% after 12 months following surgery. Conclusions: Stage and previous use of chemotherapy were significantly associated with adjuvant bisphosphonate therapy. Our study observes the potential underutilization of adjuvant bisphosphonate therapy and possible need to start treatment earlier in some patients. Further education and awareness of the clinical practice guidelines regarding adjuvant bisphosphonate therapy may be warranted and additional population-based study investigating treatment patterns and real-world effectiveness.

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)0.001
metaresearch head score (Gemma)0.004
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 score0.011
Threshold uncertainty score0.022

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0010.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.002
Bibliometrics0.0010.002
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0010.000

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.

Opus teacher head0.096
GPT teacher head0.406
Teacher spread0.310 · 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".

Quick stats

Citations0
Published2020
Admission routes2
Has abstractyes

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