The DOI matches its Crossref record; 93 of the 93 references it cites were found in a registry or an index.
Assessment of Chronic Pain: Domains, Methods, and Mechanisms
Open accessAbstract
Accurate classification of chronic pain conditions requires reliable and valid pain assessment. Moreover, pain assessment serves several additional functions, including documenting severity of the pain condition, tracking the longitudinal course of pain, and providing mechanistic information. Thorough pain assessment must address multiple domains of pain, including the sensory and affective qualities of pain, temporal dimensions of pain, and the location and bodily distribution of pain. Where possible, pain assessment should also incorporate methods to identify pathophysiological mechanisms underlying the pain. This article discusses assessment of chronic pain, including approaches available for assessing multiple pain domains and for addressing pathophysiological mechanisms. We conclude with recommendations for optimal pain assessment.
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Cites
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Cited by
Blanpied, P. R., Gross, A. R., Elliott, J. M., Devaney, L. L., Clewley, D., Walton, D. M., Sparks, C., & Robertson, E. K. (2017) · Journal of Orthopaedic & Sports Physical Therapy · doi:10.2519/jospt.2017.0302 · Cited by 979
Nijs, J., Lahousse, A., Kapreli, E., Bilika, P., Saraçoğlu, İ., Malfliet, A., Coppieters, I., De Baets, L., Leysen, L., Roose, E., et al. (2021) · Journal of Clinical Medicine · doi:10.3390/jcm10153203 · Cited by 430
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Metadata
- Authors
- Fillingim, R. B., Loeser, J. D., Baron, R., & Edwards, R. R.
- Venue
- The Journal of Pain
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 17
- Issue
- 9
- Pages
- T10-T20
- ISSN
- 1526-5900 (ISSN-L)
- OpenAlex
- W2515214979
- Cited by
- 409
- References
- 93
- FWCI
- 11.80
- Type
- journal article
- Language
- en
- Open access
- bronze
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.