Health Related Quality of Life Assessment in Metastatic Disease of the Spine
Bibliographic record
Abstract
STUDY DESIGN: Systematic literature review. OBJECTIVES: To examine the available literature on health related quality of life (HRQOL) assessment in metastatic disease of the spine and identify the optimal functional outcome scales to be used in developing a disease-specific tool. SUMMARY OF BACKGROUND DATA: There is a lack of consensus in the use of HRQOL measures in patients with metastatic spine disease. METHODS: A systematic review was conducted using MEDLINE, EMBASE, the Science Citation Index (ISI), the Cumulative Index to Nursing and Allied Health Literature, the PsycINFO, the Allied and Complementary Medicine (AMED), Cochrane Reviews and Global Health databases for clinical studies addressing metastatic spine disease from 1966 through 2008. The validity of outcome tools was established by linkage analysis with the International Classification of Functioning Disability and Health (ICF). RESULTS: One hundred forty-one clinical studies met inclusion criteria including 10,347 patients. Only 5 moderate grade and 1 high grade study were identified. Thirty- four studies used a patient self-assessment instrument to assess health status. None of the instruments were validated for metastatic spine patients. The most commonly used Pi-by-no tools were SF-36, SIP 5, and the ADL. None of the studies defined health related quality of life (HRQOL) or justified the choice of instrument. The most commonly used cancer-specific tools were ECOG, EORTC QCQ-C30, and EUROQOL 5D. Based on frequency of citation and on correlation with the International Classification of Functioning Disability and Health, the ECOG and SF36 were judged as most valid and reliable. CONCLUSION: A systematic review of the available evidence suggests that valid and reliable health related quality of life measures exist for the assessment of oncology patients; however, a disease-specific tool for metastatic spine disease awaits development. Until such time as a disease-specific tool is available, we recommend that the ECOG and SF-36 be considered for use in studies addressing the outcome assessment of patients with metastatic spine disease.
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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 | 0.013 | 0.044 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.009 | 0.006 |
| Bibliometrics | 0.011 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".