Variability in the prevalence of depression among adults with chronic pain: UK Biobank analysis through clinical prediction models

Chen, L., Ashton-James, C. E., Shi, B., Radojčić, M. R., Anderson, D. B., Chen, Y., Preen, D. B., Hopper, J. L., Li, S., Bui, M., Beckenkamp, P. R., Arden, N. K., Ferreira, P. H., Zhou, H., Feng, S., & Ferreira, M. L. (2024). Variability in the prevalence of depression among adults with chronic pain: UK Biobank analysis through clinical prediction models. BMC Medicine, 22(1). https://doi.org/10.1186/s12916-024-03388-x
Authors:
Lingxiao Chen
Claire E Ashton-James
Baoyi Shi
Maja R Radojčić
David B Anderson
Yujie Chen
David B Preen
John L Hopper
Shuai Li
Minh Bui
Paula R Beckenkamp
Nigel K Arden
Paulo H Ferreira
Hengxing Zhou
Shiqing Feng
Manuela L Ferreira
Affiliated Authors:
Baoyi Shi
Columbia Affiliation:
Subjects:
Chronic Pain (MeSH)
Asthma (MeSH)
Author Keywords:
big data
chronic pain
clinical prediction model
depression
prevalence
variability
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Publication Type:
Article
Unique ID:
10.1186/s12916-024-03388-x
PMID:
38637815
DOI:
10.1186/s12916-024-03388-x
Journal:
BMC Medicine
Publication Date:
Data Source:
PubMed
Source Link:
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Record Created: