Fibromyalgia Is Common and Adversely Affects Pain and Fatigue Perception in North Indian Patients with Rheumatoid Arthritis
Bibliographic record
Abstract
OBJECTIVES: Fibromyalgia (FM) has been shown to be common in patients with rheumatoid arthritis (RA), but studies on Asian patients are lacking. It remains unclear whether FM has an adverse influence on pain, fatigue, quality of life, and mood in these patients, and what its relationship is with disease activity. We studied prevalence and effects of FM in North Indian patients with RA and associations of RA with disease activity. METHODS: This cross-sectional study included 200 RA patients and an equal number of controls. Presence of FM was defined using the American College of Rheumatology 1990 criteria. Pain and fatigue scores were assessed using a 10 cm visual analog scale. Quality of life and presence of depression/anxiety were determined using validated questionnaires. Disease activity and functional disability in RA patients was assessed using the Disease Activity Score 28-3 and Health Assessment Questionnaire, respectively. RESULTS: FM was present in 15% of patients with RA compared to 2.5% of controls in the North Indian population. RA patients with FM did not differ from those without FM in terms of age, gender, current disease-modifying agents, or steroid use. RA patients with FM had higher disease activity and worse functional disability. The number of tender and swollen joints was higher in patients with FM, but correlated poorly with each other. RA patients with FM had higher pain and fatigue scores but were not different in the quality of life or mood. CONCLUSION: FM is more common in North Indian patients with RA compared to controls. It adversely affects the pain and fatigue felt by RA patients. Disease activity and FM influence each other.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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".