ArticleArchives of osteoporosis2021
Establishment and verification of an osteoporosis risk model in patients with rheumatoid arthritis: a valuable new model.
Article in Archives of osteoporosis, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 6 citations in OpenAlex.
- Osteoporosis in rheumatoid arthritis: a new perspective on risk factors and clinical prediction models.Osteoporosis international : a journal established as result of cooperation between the European Foundation for Osteoporosis and the National Osteoporosis Foundation of the USA · 2026Review
- Elucidating osteoporosis response signatures in rheumatoid arthritis using explainable machine learning ensembles.BMC musculoskeletal disorders · 2026Article
- Development and validation of a nomogram predicting osteoporosis risk in rheumatoid arthritis.Frontiers in medicine · 2026Article
- Evaluating disease activity scores and CBC-derived indices in relation to osteoporosis risk in rheumatoid arthritis: a cross-sectional analysis.Frontiers in immunology · 2026Article
- From pathogenesis to therapeutic targeting: new insight into TAM receptors in rheumatoid arthritis.Cell & bioscience · 2025Review
- A diagnostic model for assessing the risk of osteoporosis in patients with rheumatoid arthritis based on bone turnover markers.Arthritis research & therapy · 2025Article
- Osteoporosis in patients with rheumatoid arthritis is associated with serum immune regulatory cellular factors.Clinical rheumatology · 2022Article
- Understanding the complex genetic architecture connecting rheumatoid arthritis, osteoporosis and inflammation: discovering causal pathways.Human molecular genetics · 2022Article
- A Predictive Model for Abnormal Bone Density in Male Underground Coal Mine Workers.International journal of environmental research and public health · 2022Article
- Systemic complications of rheumatoid arthritis: Focus on pathogenesis and treatment.Frontiers in immunology · 2022Review
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To establish a model for osteoporosis risk in patients with rheumatoid arthritis and validate the model. A newly generated predictive model has been suggested to have good differentiation, calibration, and clinical validity and may be a useful clinical model for predicting osteoporosis in patients with rheumatoid arthritis. PURPOSE: To establish a prediction model for osteoporosis risk in patients with rheumatoid arthritis and validate the model internally and externally.
methodsA total of 270 patients with rheumatoid arthritis who underwent bone mineral density measurement at our hospital from June 2019 to June 2020 were enrolled in the study. The patients were divided into two groups according to their entry time: a training set containing the first 2/3 of the patients (n = 180) and a validation set containing the remaining 1/3 of the patients (n = 90). Binary logistic regression analysis was used to establish the regression models, and the concordance index (C-index), calibration plot, and decision curve analysis were used to evaluate the prediction model.
resultsFive variables, including age (X1), course of disease (X2), the disease activity score using 28 joint counts (DAS28) (X4), anti-cyclic citrullinated peptide antibody (CCP) (X7), and 7-joint ultrasonic bone erosion (X14), were selected to enter the model. The prediction model is Logit Y = - 12.647 + 0.133X1 + 0.011X2 + 0.754X4 + 0.001X7 + 0.605X14. The model had good differentiation; the C-index in the internal verification was 0.947 (95% CI is 0.932-0.977) and the C-index in the external verification was 0.946 (95% CI is 0.940-0.994). The calibration plot of the model showed excellent consistency between the prediction probability and actual probability. When > 0.483 was taken as the cutoff value for the diagnosis of osteoporosis, the sensitivity, specificity, positive likelihood ratio, negative likelihood ratio, and Jordan index of the model were 90.24%, 87.76%, 7.37, 0.11, and 78.00%, respectively.
conclusionA newly generated predictive model has been suggested to have good differentiation, calibration, and clinical validity and may be a useful clinical model for predicting osteoporosis in patients with rheumatoid arthritis.
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