Fibromyalgia & musculoskeletal pain
Design and validation of a predictive model for determining the risk of developing fibromyalgia
Authors' conclusion
The proposed model showed an excellent predictive capacity.
Study context
- Population
- Patients aged >18 years visiting four primary health centres, 2017–2020, with a diagnosis of FM or arthritis
- Participants
- 198 vs 120
- Exposure
- FM vs no FM
- FMn = 198
- Without FMn = 120reference
- Outcome
- Predictive capacity of a model for FM in subjects with a history of chronic pain
Methodological detailsmulticentre, observational, Bootstrapping validation
- Multicentre
- Observational
- Bootstrapping validation
Main finding
As reported in the abstract
Predictive capacity of the final model, adjusted by Bootstrapping
Predictive capacity adjusted by Bootstrapping
0.972
95% CI 0.955–0.986
Observational data: associations, not effects.
Original publication
Design and validation of a predictive model for determining the risk of developing fibromyalgia. Clin Exp Rheumatol. Published 21 June 2022. doi:10.
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