Health-related quality of life in Asian patients with breast cancer: a systematic review
Bibliographic record
Abstract
OBJECTIVE: To summarise the evidence on determinants of health-related quality of life (HRQL) in Asian patients with breast cancer. DESIGN: Systematic review conducted according to the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) recommendations and registered with PROSPERO (CRD42015032468). METHODS: According to the PRISMA guidelines, databases of MEDLINE (PubMed), Embase and PsycINFO were systematically searched using the following terms and synonyms: breast cancer, quality of life and Asia. Articles reporting on HRQL using EORTC-QLQ-C30, EORTC-QLQ-BR23, FACT-G and FACT-B questionnaires in Asian patients with breast cancer were eligible for inclusion. The methodological quality of each article was assessed using the quality assessment scale for cross-sectional studies or the Newcastle-Ottawa Quality Assessment Scale for cohort studies. RESULTS: Fifty-seven articles were selected for this qualitative synthesis, of which 43 (75%) were cross-sectional and 14 (25%) were longitudinal studies. Over 75 different determinants of HRQL were studied with either the EORTC or FACT questionnaires. Patients with comorbidities, treated with chemotherapy, with less social support and with more unmet needs have poorer HRQL. HRQL improves over time. Discordant results in studies were found in the association of age, marital status, household income, type of surgery, radiotherapy and hormone therapy and unmet sexuality needs with poor global health status or overall well-being. CONCLUSIONS: In Asia, patients with breast cancer, in particular those with other comorbidities and those treated with chemotherapy, with less social support and with more unmet needs, have poorer HRQL. Appropriate social support and meeting the needs of patients may improve patients' HRQL.
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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 | 0.011 | 0.038 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.010 | 0.011 |
| Bibliometrics | 0.010 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 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".