Clinical Characterization of Juvenile Fibromyalgia in a Multicenter Cohort of Adolescents Enrolled in a Randomized Clinical Trial
Bibliographic record
Abstract
OBJECTIVE: Juvenile fibromyalgia (JFM) is a complex chronic pain condition that remains poorly understood. The study aimed to expand the clinical characterization of JFM in a large representative sample of adolescents with JFM and identify psychological factors that predict pain interference. METHODS: Participants were 203 adolescents (ages 12-17 years) who completed baseline assessments for the multisite Fibromyalgia Integrative Training for Teens (FIT Teens) randomized control trial. Participants completed the Pain and Symptom Assessment Tool, which includes a Widespread Pain Index (WPI; 0-18 pain locations) and Symptom Severity checklist of associated somatic symptoms (SS; 0-12) based on the 2010 American College of Rheumatology criteria for fibromyalgia. Participants also completed self-report measures of pain intensity, functional impairment, and psychological functioning. RESULTS: Participants endorsed a median of 11 painful body sites (WPI score) and had a median SS score of 9. Fatigue and nonrestorative sleep were prominent features and rated as moderate to severe by 85% of participants. Additionally, neurologic, autonomic, gastroenterologic, and psychological symptoms were frequently endorsed. The WPI score was significantly correlated with pain intensity and catastrophizing, while SS scores were associated with pain intensity and all domains of physical and psychological functioning. Depressive symptoms, fatigue, and pain catastrophizing predicted severity of pain impairment. CONCLUSION: JFM is characterized by chronic widespread pain with fatigue, nonrestorative sleep, and other somatic symptoms. However, how diffusely pain is distributed appears less important to clinical outcomes and impairment than other somatic and psychological factors, highlighting the need for a broader approach to the assessment and treatment of JFM.
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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 | 0.007 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 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".