Factors Related to Persistent Fatigue Following Completion of Breast Cancer Treatment
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE/OBJECTIVES: To verify the predictive capacity of the stress-process theory to emeanplain persistent fatigue following completion of breast cancer treatments; to verify the relationship between interleukin-1b and fatigue. DESIGN: Correlational. SETTING: Tertiary medical center in Quebec City, Canada. SAMPLE: A systematic sample of 103 women in remission from breast cancer was recruited. The mean age was 54 years. Participants with a depressive mood, insomnia, or stage IV cancer were emeancluded. METHODS: Participants were met during their follow-up appointment after the end of radiation therapy. Questionnaires on fatigue, stress variables, and other confounding variables were completed by telephone interview. Blood samples also were collected to measure the serum level of interleukin-1b. MAIN RESEARCH VARIABLES: Fatigue, several variables from the stress-process theory, pain, menopausal symptoms, and demographic and medical variables. FINDINGS: Fatigue was related theoretically and coherently to many stress-process variables. By controlling for pain, the final regression model included cancer stressors and passive and active coping as predictors, which accounted for 41% of the variance in fatigue. No relationship was found between fatigue and interleukin-1b. CONCLUSIONS: The results supported the relevance of the stress-process theory for emeanplaining cancer-related fatigue. IMPLICATIONS FOR NURSING: Nursing interventions based on this theoretical framework could be developed. In addition, further clinical research that tests the efficacy of these psycho-educative interventions in preventing persistent fatigue and improving the quality of life of women with breast cancer is recommended.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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