Generic quality-of-life assessment in rheumatoid arthritis.
Bibliographic record
Abstract
BACKGROUND: Generic health status measures are commonly used in the evaluation of rheumatoid arthritis (RA) patients. The reliability, validity, and sensitivity of the instruments in the assessment of quality of life (QOL) in RA, and how they correlate to other clinical measurements, have longbeen questioned. OBJECTIVE: Analyze the performance of a commonly used generic health status measure, the Medical Outcomes Study 36-Item Short Form (SF-36), against the Outcome Measures in Rheumatology(OMERACT) criteria. METHODS: Data were analyzed from 7 double-blind, randomized controlled trials that examined the effectiveness of 1 or more interventions in RA. The primary outcome measures evaluated were the Mental and Physical Component Scores of the SF-36. Comparators were 1 or more of the following: the Health Assessment Questionnaire scores, tender joint count (TJC), the Disease Activity Score, and the American College of Rheumatology Responder Index (ACR20,ACR50, ACR70). The ability to detect a treatment effect in the study outcomes was evaluated using 3 measures: treatment difference,standardized response mean, and relative efficiency in relation to the TJC. RESULTS: As a generic QOL measure, the SF-36 is better suited to capture the holistic health of the patient, as reflected in the World Health Organization definition of health as being not only the avoidance of disease but the physical,emotional, and social well-being of the patient. Furthermore, use of the SF-36 permits comparisons of physical and mental aspects of QOL in the RA patient population, as well as comparisons of QOL parameters between patients with RA, other patient groups, and the general population. CONCLUSION: The SF-36 deserves serious consideration for inclusion in the core set of outcomes in RA trials.
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How this classification was reachedexpand
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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".