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Record W4406199775 · doi:10.1159/000543320

Patient Preferences for HR+/HER2− Early Breast Cancer Adjuvant Treatment: A Multicountry Discrete Choice Experiment

2025· article· en· W4406199775 on OpenAlex
Victoria Harmer, Cathy Ammendolea, Mandy Ryan, Frances Boyle, Gustavo Werutsky, D. El Mouzain, Deborah A. Marshall, Caitlin Thomas, Sebastian Heidenreich, Hui Lü, Nicolas Krucien, Dawn Aubel, Andriy Danyliv, Purnima Pathak, Nadia Harbeck

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.
aboutThe title or abstract carries a Canadian signal from the geographic lexicon.

Bibliographic record

VenueBreast Care · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicBreast Cancer Treatment Studies
Canadian institutionsUniversity of CalgaryCanadian Breast Cancer NetworkJewish General Hospital
FundersArthritis SocietyCanadian Institutes of Health ResearchGenome CanadaAlberta InnovatesSeagenGilead SciencesAmgenPfizerAstraZenecaDaiichi Sankyo EuropeEli Lilly and Company
KeywordsMedicineAdjuvantBreast cancerOncologyCancerInternal medicineGynecology

Abstract

fetched live from OpenAlex

Introduction: More adjuvant treatment options are becoming available for hormone receptor-positive/human epidermal growth factor receptor 2-negative (HR+/HER2-) early breast cancer (EBC) based on results of clinical trials. This study quantified the importance of different attributes of EBC adjuvant therapies to patients and the benefit-risk tradeoffs patients were willing to make. Methods: = 40). Participants (pts) made 10 choices between pairs of hypothetical treatments described by varying levels of 6 attributes. DCE data were analyzed using a correlated mixed logit model. Relative attribute importance scores captured the impact of each attribute across clinically relevant ranges. Benefit-risk tradeoffs were captured as the minimum improvements in 5-year invasive disease-free survival (iDFS) that pts would require to tolerate increases in therapy-associated adverse event (AE) risks. Results: A total of 866 patients from the USA, France, Spain, Canada, the UK, Germany, South Korea, and Australia completed the DCE (mean age: 57.7 years; 76% postmenopausal; 29% stage I disease, 55% stage II, 16% stage III). Improved 5-year iDFS (75.4-82.7% range; associated with combination regimens [CRs] vs. endocrine therapy [ET] alone) contributed the most to treatment preferences (clinically relevant relative attribute importance: 38.4%), followed by reduced risks of venous thromboembolic events (VTEs) (20.4%), neutropenia (20.3%), and diarrhea (15.0%). Treatment type + duration (3.7%) and fatigue (2.3%) were less important. Pts required the largest improvement in 5-year iDFS (3.9%) to tolerate increased risks of VTE (0.7%-2.5%) or neutropenia (5.6%-46%); willingness to accept tradeoffs depended on the AE. Preference heterogeneity was observed across subgroups, but 5-year iDFS improvement was consistently the most impactful on treatment choice in all subgroups. Conclusion: A multicountry sample of patients most valued adjuvant therapies with higher 5-year iDFS and may therefore prefer CRs over ET alone. The value of CRs depends on their specific safety profiles, and shared decision-making should consider this to select treatment options that align with individual preferences.

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.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.483
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

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

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 head0.008
GPT teacher head0.284
Teacher spread0.275 · 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