A Multidimensional Regression Model for Predicting Recurrence in Chronic Low Back Pain
This study found that the STarT BACK tool is suboptimal in predicting the 2-year recurrence of chronic low back pain (CLBP). Our proposed multidimensional machine learning model aids clinicians in identifying patients at high risk for future recurrence of CLBP and in implementing appropriate preventive measures. Given the considerable healthcare resource utilisation associated with the frequent recurrence of CLBP, our novel model provides significant assistance in addressing this issue, demonstrating substantial clinical relevance.
Authors
- Yang Lei (ORCID: https://orcid.org/0000-0001-8463-1165)
- Xiaolina Zhang
- Yuanming Jiang
- Jiaxin Chen (ORCID: https://orcid.org/0000-0002-3507-6991)
- Chunli Li (ORCID: https://orcid.org/0000-0003-4601-9092)
- Zhongwei Wang (ORCID: https://orcid.org/0000-0002-0685-2496)
- Bo He (ORCID: https://orcid.org/0009-0005-2493-6203)
- Yilong Huang (ORCID: https://orcid.org/0009-0004-3719-6972)
- Zhenguang Zhang (ORCID: https://orcid.org/0009-0005-5013-0107)
- Derong Zhao
- Zaiyi Liu (ORCID: https://orcid.org/0000-0002-9307-8522)
Institutions
- Kunming Medical University (CN)
- Key Laboratory of Guangdong Province (CN)
- Guangdong Academy of Sciences (CN)
- First Affiliated Hospital of Kunming Medical University (CN)
- Baoshan University (CN)
- Guangdong Academy of Medical Sciences (CN)
- Guangdong Provincial People's Hospital (CN)
- Southern Medical University (CN)
Publication Details
- Journal
- European Journal of Pain
- Published
- 2025-02-04
- DOI
- https://doi.org/10.1002/ejp.4793
- Citations
- 3
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 4.18