Evaluation of quality of life outcomes following palliative radiotherapy in bone metastases: 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
Purpose: To assess the quality of life (QoL) following palliative radiotherapy (RT) in patients with painful bone metastases. Methods: A literature search limited to English-written publications was carried out, through the Cochrane Central Register of Controlled Trials (November 2018), OvidSP and PubMedCentral (1940-November 2018) databases. Subject headings and keywords included “quality of life”(QoL), “bone metastases”, “palliative therapy”, “pain” and “radiotherapy”. Original articles, literature reviews, trials and meta-analyses revealing alterations in QoL post-RT using ratified measuring tools were examined. Studies referring to other types of metastases (e.g. brain metastases), or to other types of palliative therapy (e.g. the use of bisphosphonates alone), or focusing only on pain, or even reporting QoL only before or only after the use of RT were excluded. Results: Twenty four articles were selected from a total of 1360 articles. Seven trials proceeded to patients’ randomization. The most commonly used tool to evaluate QoL was EORTC, followed by Brief Pain Inventory (BPI) and Edmonton Symptom Assessment System (ESAS) questionnaires. All studies showed improvement in symptoms and functional interference scores after RT. The QoL between responders (Rs) and non-responders (NRs) has been juxtaposed in 10 studies. Rs had a significant benefit in QoL in comparison with the NRs. Conclusion: Palliative radiotherapy in painful bone metastases improves responders’ (Rs) QoL. © This work by JBUON is licensed under a Creative Commons Attribution 4.0 International License.
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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.002 | 0.000 |
| Research integrity | 0.001 | 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