Effect of Steroids on Patients With Fibromyalgia/Chromic Widespread Pain: An Observational Study
Bibliographic record
Abstract
OBJECTIVE: Fibromyalgia causes widespread chronic pain. Pain management and treating underlying conditions are of utmost importance. Recent studies found an association of thyroid autoimmunity with fibromyalgia. Pain management of patients with anti-thyroid peroxidase antibody (anti-TPO Ab) positive was studied sparsely. To determine the effect of steroid (deflazacort) on pain management using numerical rating scale (NRS) pain score at baseline and at 3-month follow-up. STUDY DESIGN: A retrospective observational study was undertaken, recruiting patients diagnosed with fibromyalgia as per 2010 American College of Rheumatology guidelines and treated with the steroid, deflazacort 12 mg. Patients with missing details were excluded. Patients were categorized into negative, positive, and strongly positive anti-TPO Ab groups. Baseline and follow-up (3 months) pain score was compared across the groups. Reduction in pain was considered as a primary outcome variable. RESULTS: The study included 128 participants with 98 (76.6%) females and 30 (23.4%) males. The age of the study population was 48±13.29 years. The proportion of hyper, hypo, and euthyroid was 10 (7.81%), 42 (32.81%), and 76 (59.38%), respectively. The proportion of participants with negative, positive, and strongly positive anti-TPO Ab levels was 41 (32.03)%, 50 (39.06%), and 37 (28.91%), respectively. Baseline pain score was 7.3±1.32 and 3-month follow-up was 4.7±2.46. Steroid response was found in 66 (51.6%). Negative and positive anti-TPO Ab had a 1-point reduction in pain score from baseline, p-value <0.001. The strongly positive group had 5 points reduction, p-value<0.05. CONCLUSION: Fibromyalgia patients with thyroid autoimmunity responded well to short courses of steroids. Greater pain relief was observed among those who are strongly positive anti-TPO Ab group.
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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) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".