Disease Severity in Ankylosing Spondylitis: Variation by Region and Local Area Deprivation
Bibliographic record
Abstract
OBJECTIVE: To investigate whether patient disease severity in ankylosing spondylitis (AS) varies among regions or by local area social deprivation. METHODS: Eight hundred patients with AS from 8 specialist rheumatology centers across England were invited to participate in a cross-sectional survey. Sociodemographic and disease-related variables were collected [pain (numerical rating scale), disease activity (Bath AS Disease Activity Index), and physical function (Bath AS Functional Index)]. Deprivation was measured using the Index of Multiple Deprivation 2004. RESULTS: Of the 800 patients invited, 468 responded (adjusted response rate 62.8%). Most were male (72.9%), with a mean age of 50.2 years (SD 12.1), and a mean diagnosed disease duration of 17 years (SD 11.4). Across all centers, those living in more deprived areas demonstrated significantly greater disease severity and poorer psychological health. After controlling for age, gender, disease duration, and region, greater deprivation was significantly associated with greater disease activity (OR 3.39; 95% CI 1.65, 6.98) and poorer function (OR 4.46; 95% CI 2.11, 9.44). There was a nonsignificant trend toward more pain (OR 1.98; 95% CI 0.97, 4.07). There was also a significant independent association between region and disease severity. CONCLUSION: The need for healthcare is greatest for patients with AS who are living in more socially deprived areas. With the growing use of interventional therapies, these findings have important implications if health service resources are to be allocated equitably; particularly as deprived patients are known to access healthcare less frequently.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".