Clinical and Economic Characteristics of Patients With Fibromyalgia Syndrome
Bibliographic record
Abstract
OBJECTIVES: Fibromyalgia syndrome (FMS) is a chronic disorder defined by widespread muscle pain and multiple tender points. The objectives of this study were to estimate prevalence of comorbidities, healthcare resources utilization, and costs associated with FMS. METHODS: A retrospective cohort study was conducted using data from the Quebec provincial health plans (RAMQ) for a random sample of patients with diagnoses of FMS and a control cohort of patients without FMS, matched for age and gender. Prevalence of comorbidities was estimated. Healthcare resources consumed by FMS and non-FMS patients were identified in terms of visits to physicians, physician's interventions, pain-related medications, nonpain-related medications, and hospitalizations. RESULTS: A total of 16,010 patients with 2 diagnoses of FMS were identified, and control patients were randomly selected with a ratio of 1:1. Incidence of most comorbidities was significantly higher in the FMS group and the chronic disease score (3.8 vs. 2.8; ANOVA P <0.001). The proportion of patients with at least 1 comorbidity was 87.4% in the FMS group and 60.1% in the control group (chiP<0.001). The annual number of visits to physician and physician's interventions was 25.1 for FMS and 14.8 for non-FMS patients. The amount paid by the RAMQ was significantly higher for patients with FMS ($4065) compared with patients without FMS ($2766) (ANOVA P<0.001). DISCUSSION: Results of this analysis of the RAMQ database illustrate the high prevalence of comorbidities among patients with a diagnosis of FMS and strongly indicate that the economic burden of FMS is substantial.
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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 | 0.005 | 0.002 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".