Osteoporosis prediction in primary Sjögren's syndrome: development and external validation of a machine-learning comparison model.
A transparent, externally validated seven-variable model provides individualised DXA-defined osteoporosis risk estimation in pSS and may help clinicians prioritise bone density testing during routine visits.