Fatigue and endocrine symptoms among women with early breast cancer randomized to endocrine versus chemoendocrine therapy: Results from the TAILORx patient‐reported outcomes substudy
Bibliographic record
Abstract
BACKGROUND: TAILORx (Trial Assigning Individualized Options for Treatment) prospectively assessed fatigue and endocrine symptoms among women with early-stage hormone receptor-positive breast cancer and a midrange risk of recurrence who were randomized to endocrine therapy (E) or chemotherapy followed by endocrine therapy (CT+E). METHODS: Participants completed the Functional Assessment of Chronic Illness Therapy-Fatigue, the Patient-Reported Outcomes Measurement Information System-Fatigue Short Form, and the Functional Assessment of Cancer Therapy-Endocrine Symptoms at the baseline and at 3, 6, 12, 24, and 36 months. Linear regression was used to model outcomes on baseline symptoms, treatment, and other factors. RESULTS: Participants (n = 458) in both treatment arms reported greater fatigue and endocrine symptoms at early follow-up in comparison with the baseline. The magnitude of change in fatigue was significantly greater for the CT+E arm than the E arm at 3 and 6 months but not at 12, 24, or 36 months. The CT+E arm reported significantly greater changes in endocrine symptoms from the baseline to 3 months in comparison with the E arm; change scores were not significantly different at later time points. Endocrine symptom trajectories by treatment differed by menopausal status, with the effect larger and increasing for postmenopausal patients. CONCLUSIONS: Adjuvant CT+E was associated with greater increases in fatigue and endocrine symptoms at early time points in comparison with E. These differences lessened over time, and this demonstrated early chemotherapy effects more than long-term ones. Treatment arm differences in endocrine symptoms were more evident in postmenopausal patients. LAY SUMMARY: Participants in TAILORx (Trial Assigning Individualized Options for Treatment) with early-stage hormone receptor-positive breast cancer and an intermediate risk of recurrence were randomly assigned to endocrine or chemoendocrine therapy. Four hundred fifty-eight women reported fatigue and endocrine symptoms at the baseline and at 3, 6, 12, 24, and 36 months. Both groups reported greater symptoms at early follow-up versus the baseline. Increases in fatigue were greater for the chemoendocrine group than the endocrine group at 3 and 6 months but not later. The chemoendocrine group reported greater changes in endocrine symptoms in comparison with the endocrine group at 3 months but not later.
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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 | 0.004 | 0.003 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".