Performance of clinical prediction models for identifying postmenopausal osteoporosis: a systematic review and meta-analysis
We found that the PMOP prediction models demonstrated promising performance. However, this review also highlights several potential limitations of current approaches, including a high risk of bias and limited external validation. Future research should aim to refine these models using larger and more diverse populations, as well as by incorporating additional risk factors to improve their clinical applicability.
Authors
- Wei Xü (ORCID: https://orcid.org/0000-0002-3135-5010)
- Yanming Xie (ORCID: https://orcid.org/0009-0000-0823-2226)
- Y Z Zhang
- Xiangyun Guo (ORCID: https://orcid.org/0009-0004-2853-6859)
- Chuanrui Sun (ORCID: https://orcid.org/0009-0009-1648-8649)
- Yuhui Yin (ORCID: https://orcid.org/0000-0002-2151-4583)
- Yiwen Gan
- Liang Wang
- Jinran Qin
- Xinyi Huang
- Ming Chen
- Yunning Li
- Yang Guo
Institutions
- Nanjing University of Chinese Medicine (CN)
- Chinese Academy of Medical Sciences & Peking Union Medical College (CN)
- Wangjing Hospital of China Academy of Chinese Medical Sciences (CN)
- Nanjing Medical University (CN)
Publication Details
- Journal
- BMC Musculoskeletal Disorders
- Published
- 2026-01-03
- DOI
- https://doi.org/10.1186/s12891-025-09389-y
- Primary Topic
- Bone health and osteoporosis research
- Type
- article
- Field-Weighted Citation Impact
- 0.00