EORTC QLQ-BR23 and FACT-B for the assessment of quality of life in patients with breast cancer: a literature review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
BACKGROUND: This study aims to compare the development, characteristics and validity of two widely used tools in the breast cancer population, the EORTC QLQ-BR23 and the FACT-B. METHODS: A literature search was conducted using Ovid MEDLINE, OLDMEDLINE, Embase, Embase Classic and the Cochrane Central Register of Controlled Trials to identify relevant studies. RESULTS: Both tools were found to be reliable and valid. The QLQ-BR23 focuses on physical function, whereas the FACT-B emphasizes emotional well-being. Scoring, item format, organization and response options differ between questionnaires. CONCLUSION: Overall, both questionnaires are effective in assessing breast cancer-specific quality of life. Clear similarities and differences between the two tools exist. Decision-making between the questionnaires should be based on the purpose and design of the study.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.009 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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