Vasculitis & polymyalgia rheumatica
Positive predictive value of a register-based method to identify polymyalgia rheumatica in primary and secondary care: a validation study in Denmark
Authors' conclusion
The algorithm provides a robust framework for register-based epidemiological studies of patients with PMR.
Study context
- Population
- Potential patients with polymyalgia rheumatica (PMR) aged ≥50 years, 2003–2024, Denmark; chart review by general practitioners (GPs) and at two secondary hospitals and one tertiary hospital in Central Denmark Region (2013–2024)
- Comparison
- Register-based algorithm to identify PMR in primary care (first-time GP prescription of prednisolone/prednisone) vs secondary care (PMR diagnosis code in Danish National Patient Registry (DNPR))
- Outcome
- PPV of a register-based algorithm for identifying patients with PMR (diagnosis confirmed through chart review)
Methodological detailsregister-based, chart review, exact binomial method
- Register-based
- Chart review
- Exact binomial method
Performance
As reported in the abstract
PPV (PMR diagnosis confirmed)
| Test or model | Value | PPV |
|---|---|---|
| Primary care | 62% (95% CI 54–69) | 62% |
| Secondary care | 89% (95% CI 84–93) | 89% |
Value
Primary care62% (95% CI 54–69)
Secondary care89% (95% CI 84–93)
PPV
Primary care62%
Secondary care89%
Further findings
- PPV in primary care patients redeeming 1000-2000 mg PDN within 2 months following diagnosis (subgroup)
- 84% · 95% CI 76–90
- PPV in secondary care patients redeeming PDN within 2 months of diagnosis (subgroup)
- 91% · 95% CI 86–94
Original publication
Positive predictive value of a register-based method to identify polymyalgia rheumatica in primary and secondary care: a validation study in Denmark. Scand J Rheumatol. Published 13 March 2026. doi:10.
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