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[Musculoskeletal pain].

Authors: H-R, Casser; H-G, Schaible;

[Musculoskeletal pain].

Abstract

Among the clinically relevant pain conditions, pain in the musculoskeletal system is most frequent. This article reports extensive epidemiological data on musculoskeletal system pain in Germany and worldwide. Since back pain is most frequent, the diagnostics and therapeutic algorithms of acute, recurring, and chronic lower back pain in Germany will be particularly addressed. The importance of the physiologic-organic, the cognitive-emotional, the behavioral, and the social level to diagnostics and treatment will be discussed. We will also focus on osteoarthritic pain and address its epidemiology, clinical importance, and significance for the health care system. This article will list some reasons why the musculoskeletal system in particular is frequently the site of chronic pain. The authors believe that these reasons are to be sought in the complex structures of the musculoskeletal system; in the particular sensitivity of the deep somatic nociceptive system for long-term sensitization processes, as well as the ensuing nervous system reactions; and in the interactions between the nervous and immune systems. The article will give some insights into the research carried out on this topic in Germany.

Keywords

Cross-Cultural Comparison, Central Nervous System Sensitization, Neuroimmunomodulation, Nociceptors, Cross-Sectional Studies, Back Pain, Musculoskeletal Pain, Germany, Osteoarthritis, Humans, Pain Management, Pain Measurement

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Powered by OpenAIRE graph
Found an issue? Give us feedback
selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
23
Top 10%
Top 10%
Top 10%
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