The impact of age in the quality of life of patients diagnosed with breast cancer after curative treatment.
Bibliographic record
Abstract
67 Background: Breast cancer is increasing incidence and decreasing in mortality, leading to a higher prevalence of survivors who face the consequences of the disease and its treatment. The needs of pts in different age groups may be unique. Methods: Retrospective cross-sectional analyses were performed on pts with stages 0-III breast cancer seen at Breast Cancer Supportive Care Foundation in Calgary, Canada, 2008-2016. Descriptive statistics summarized demographics. QoL data were collected using an adapted QoL Scale/Breast Cancer Patient questionnaire measuring physical, emotional, social and spiritual factors. ANOVA tested association between demographics and QoL scores. Results: 490 pts were included. Ages at diagnosis were < 40y (14.9%), 40-49y (34.2%), 50-59y (34.2%) and ≥60y (16.7%). Most pts had invasive disease (89.4%). 60% had breast conserving surgery, 45.3% mastectomy, 65.1% chemotherapy, 58% radiation therapy, 72% anti-hormonal therapy and 13.8% trastuzumab. Physical well-being: < 40y pts had less pain than others (p < 0.049). Emotional well-being: ≥60y pts reported better coping despite disease (p < 0.017), less ongoing anxiety (p < 0.02) and less stress due to changes in appearance (p < 0.006) or self-concept (p < 0.007) than others; ≥60y expressed more control in their lives (p < 0.03) than others; compared to ≥60y, < 40y pts felt less satisfied in life (p < 0.005), less supported (p < 0.02), more fearful of recurrence (p < 0.02) and second cancer (p < 0.005), more depressed (p < 0.02) and more distressed upon completion of curative treatment (p < 0.0002). Social well-being: < 49y pts had higher levels of employment interference than ≥50y pts (p < 0.002); < 40y pts felt more isolated than others (p < 0.05); < 49y pts had higher financial burden than ≥50y pts (p < 0.02); ≥60y pts had less concerns with sexuality than others (p < 0.004). Spiritual well-being: ≥60y pts participated more in religious activities (p < 0.04) and felt more hopeful (p < 0.02) than 50-59y pts. Conclusions: Different age groups have specific needs after breast cancer curative therapy. Ongoing research in survivorship care is essential to develop appropriate programs that promote comprehensive support for pts and families.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 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".