Baseline predictors of responders to auricular point acupressure in chronic low back pain
This study highlights the variability in APA treatment responses for cLBP. While predictive models provide useful insights, further research with larger datasets is needed to improve prediction accuracy and generalizability, enhancing personalized treatment approaches for cLBP.
Authors
- Wanqi Chen (ORCID: https://orcid.org/0000-0001-5990-3691)
- Paul J. Christo (ORCID: https://orcid.org/0000-0001-6488-5272)
- Hulin Wu (ORCID: https://orcid.org/0000-0002-5809-5407)
- Constance Johnson (ORCID: https://orcid.org/0000-0003-3162-3932)
- Jennifer Kawi (ORCID: https://orcid.org/0000-0003-3359-1946)
- Nada Lukkahatai (ORCID: https://orcid.org/0000-0003-3820-1812)
- Xinran Huang (ORCID: https://orcid.org/0000-0002-8126-9735)
- Claudia M. Campbell (ORCID: https://orcid.org/0000-0002-5420-4207)
- Johannes Thrul (ORCID: https://orcid.org/0000-0001-8929-9579)
Institutions
- Johns Hopkins University (US)
- Johns Hopkins Medicine (US)
- The University of Texas Health Science Center at Houston (US)
Publication Details
- Journal
- Clinical Traditional Medicine and Pharmacology
- Published
- 2025-04-14
- DOI
- https://doi.org/10.1016/j.ctmp.2025.200215
- Citations
- 1
- Primary Topic
- Musculoskeletal pain and rehabilitation
- Type
- article
- Field-Weighted Citation Impact
- 1.39
Funders
- National Institute on Aging