Health‐related quality of life in systemic sclerosis: A systematic review
Bibliographic record
Abstract
OBJECTIVE: A number of studies (all n <200) have assessed health-related quality of life (HRQOL) in patients with systemic sclerosis (SSc), but no systematic review of the effect of SSc on HRQOL has been done. The objective of this study was to systematically review the literature on HRQOL in SSc measured using the Medical Outcomes Trust Short Form 36 (SF-36). METHODS: A comprehensive search was conducted in August 2007 using Medline, CINAHL, and EMBase to identify original research studies reporting SF-36 scores of SSc patients. Selected studies were reviewed and characteristics of the study samples and SF-36 data were extracted. Bayesian meta-analysis and meta-regression were performed to obtain pooled estimates of SF-36 physical component summary (PCS) and mental component summary (MCS) scores for all patients as well as by limited and diffuse disease status. RESULTS: Twelve data sets with a total of 1,127 SSc patients were included in the systematic review. HRQOL was impaired in patients with SSc, with pooled SF-36 PCS scores being more than 1 SD below the general population (38.3; 95% credible interval [95% CI] 35.2, 41.5) and pooled SF-36 MCS scores being approximately 0.5 SDs below the general population (46.6; 95% CI 44.2, 49.1). SF-36 PCS scores were 3.5 points (95% CI -1.0, 8.0) lower in patients with diffuse compared with limited disease. CONCLUSION: This study provides robust evidence of the presence and magnitude of impairment in HRQOL in patients with SSc. Although the impairment appears greater in physical health, mental health impairment is also reported.
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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 | 0.009 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.013 | 0.002 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.002 |
| 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".