Fatigue, Menopausal Symptoms, and Cognitive Function in Women After Adjuvant Chemotherapy for Breast Cancer: 1- and 2-Year Follow-Up of a Prospective Controlled Study
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Bibliographic record
Abstract
PURPOSE: We previously evaluated fatigue, menopausal symptoms, and cognitive dysfunction in patients receiving adjuvant therapy for breast cancer and matched healthy women. Here we report assessment of these women 1 and 2 years later. PATIENTS AND METHODS: Patients without relapse and controls were evaluated by the Functional Assessment of Cancer Treatment-General Quality of Life questionnaire, with subscales for fatigue and endocrine symptoms, and by the High Sensitivity Cognitive Screen. RESULTS: There were 104, 91, and 83 patients and 102, 81, and 81 controls assessed at baseline and at 1 and 2 years, respectively. Median Functional Assessment of Cancer Treatment-Fatigue scores (range, 0 to 52) for patients improved from 31 (on chemotherapy) to 43 and 45 at 1 and 2 years, respectively, but were stable in controls (46 to 48). Median Functional Assessment of Cancer Treatment-Endocrine Symptoms scores (range, 0 to 72) for patients improved from 57 (on chemotherapy) to 59 and 61 at 1 and 2 years, respectively, and were stable in controls (64 to 65). Differences between patients and controls remained significant for these scales. The incidence of moderate-severe cognitive dysfunction by the High Sensitivity Cognitive Screen decreased in patients from 16% (on chemotherapy) to 4.4% and 3.8% and in controls from 5% to 3.6% and 0% at 1 and 2 years, respectively. There were minimal differences between estrogen receptor-positive patients who started hormonal therapy (mainly tamoxifen) after chemotherapy and estrogen receptor-negative patients who did not. Differences in quality of life between patients and controls were significant only at baseline. CONCLUSION: Fatigue, menopausal symptoms, and cognitive dysfunction are important adverse effects of chemotherapy that improve in most patients. Hormonal treatment has minimal impact on them.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.000 |
| 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 | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it