Early discontinuation to adjuvant endocrine therapy in the ECOG-ACRIN TAILORx Trial.
Bibliographic record
Abstract
7004 Background: The TAILORx study demonstrated women with an intermediate Oncotype DX score receive the same benefit with endocrine therapy (ET) compared to chemoendocrine therapy (CET). However, early discontinuation of adjuvant ET is problematic among breast cancer survivors, with previous studies suggesting that up to 50% of women do not adhere to the full 5 years of recommended ET treatment. The aim of this study was to identify patient-level risk factors associated with early discontinuation of ET in the TAILORx study. Methods: TAILORx was coordinated by the ECOG-ACRIN Cancer Research Group. Participants were a subgroup of 954 women who completed additional measures on health-related quality of life (HRQoL) including endocrine symptoms (ES) physical well-being (PWB) and social well-being (SWB) prior to initiating ET, which categorized into three groups by tertile for analysis. All participants were diagnosed with hormone-receptor–positive, human epidermal growth factor receptor 2–negative, axillary node–negative breast cancer who started ET within a year of study entry. Early discontinuation of ET, defined as discontinuation less than 4 years from initiation for reasons other than death or recurrence, was assessed by clinician report. Rate of discontinuation was calculated using Kaplan-Meier estimates, and Cox-proportional hazards joint models were used to analyze the association between rates of adherence to ET with patient-level factors. Results: In a joint model, receipt of CET therapy (vs receipt of ET only; HR = .59, 95% CI .38-.94, p = .02) and age above 40 (versus age < = 40; HR = .30, 95% CI .14-.66, p = .003) were associated with a lower probability of early discontinuation of ET. Adjusted for these factors, a history of depression compared to no history of depression (HR 1.82, 95% CI 1.19-2.77, p = 0.005), worse ES compared to better ES (HR 1.70, 95% CI 1.06-2.74, p = 0.03), worse PWB compared to better PWB (HR 2.12, 95% CI 1.30-3.45,p = 0.003), and worse SWB compared to better SWB (HR 1.94, 95% CI 1.20-3.13, p = 0.007) were individually and significantly associated with a higher probability of early discontinuation of ET, although none reached statistical significance when all were included in a joint model. Conclusions: Younger women are at risk for early discontinuation and modifiable characteristics such as HRQoL and history of depression are potential risk factors for early discontinuation of ET. These results support systematic screening for HRQoL and depressive symptoms to identify women at risk for discontinuation of ET. Clinical trial information: NCT00310180 .
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".