Chemotherapy‐induced alopecia and effects on quality of life among women with breast cancer: a literature review
Bibliographic record
Abstract
BACKGROUND: Alopecia is a common side effect of chemotherapies used in the treatment of breast cancer. The aim of this review is to describe the effects of alopecia on quality of life (QOL) in this population. METHODS: We conducted a literature review using Medline, Embase, Cumulative Index to Nursing and Allied Health Literature and PsycInfo databases. We searched for studies on the effects of alopecia on various aspects of QOL in breast cancer patients including anxiety and distress, body image, sexuality, self-esteem, social functioning, global QOL and return to work outcomes. RESULTS: A total of 38 articles were included in the review. Hair loss consistently ranked amongst the most troublesome side effects, was described as distressing, and may affect the body image. CONCLUSIONS: We found very little quantitative data on other aspects of QOL. More research is needed to determine the presence and extent of negative effects on chemotherapy-induced alopecia on various aspects of QOL.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.005 | 0.007 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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".