Disability Related to the Upper Extremities in Early Rheumatoid Arthritis – Long-term Course and Disease Parameter Impact: a cohort study
Bibliographic record
Abstract
Objective To investigate the course of disability related to the upper extremities (UE) in early rheumatoid arthritis (RA), and to assess correlations between such disability and clinical parameters, including grip force. Methods In an inception cohort of patients with early RA (diagnosed 1995-2005, N=222, follow-up 10 years), disability of the UE was assessed using a subscore of the Health assessment questionnaire disability index (HAQ-DI), and average grip force of the dominant hand was measured. Changes between consecutive follow-up visits in the HAQ-DI-UE subscore, and correlations at each visit with key clinical parameters, were assessed. The relation between joint involvement and HAQ-DI-UE was examined using multivariate linear regression analysis. Results The HAQ-DI-UE decreased significantly from inclusion to the 6-month follow-up (mean change -0.26; 95% CI -0.18 to -0.34), and increased significantly after 2 years. There were fairly strong correlations for HAQ-DI-UE with grip force (r:-0.50 to -0.62), patient's global assessment (r: 0.58 to 0.64) and patient's assessment of pain (r:0.54 to 0.60) at all time points through 5 years, but only moderate to weak correlations with swollen joints, CRP and ESR. At inclusion wrist synovitis and tender proximal interphalangeal (PIP) joints had both an independent impact on HAQ-DI-UE, whereas tenderness of the shoulder and the wrist had a greater importance at 6 months. Conclusion Disability related to the upper extremities decreased significantly during the first 6 months, and increased again after 2 years. The correlations with clinical parameters underline the major impact of pain and impaired hand function in early RA.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".