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Cited by 299

The DOI matches its Crossref record; 194 of the 194 references it cites were found in a registry or an index.

Management of pain in patients with temporomandibular disorder (TMD): challenges and solutions

Open access
Gil-Martinez, Alfonso, Paris-Alemany, Alba, López-de-Uralde-Villanueva, Ibai, La Touche, Roy·2018·Journal of Pain Research

Abstract

Thanks to advances in neuroscience, biopsychosocial models for diagnostics and treatment (including physical, psychological, and pharmacological therapies) currently have more clinical support and scientific growth. At present, a conservative treatment approach prevails over surgery, given it is less aggressive and usually results in satisfactory clinical outcomes in mild-moderate temporomandibular disorder (TMD). The aim of this review is to evaluate the recent evidence, identify challenges, and propose solutions from a clinical point of view for patients with craniofacial pain and TMD. The treatment we propose is structured in a multi-modal approach based on a biobehavioral approach that includes medical, physiotherapeutic, psychological, and dental treatments. We also propose a new biobehavioral model regarding pain perception and motor behavior for the diagnosis and treatment of patients with painful TMD.

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Crossref · 10.2147/jpr.s127950

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Metadata

Authors
Gil-Martinez, A., Paris-Alemany, A., López-de-Uralde-Villanueva, I., & La Touche, R.
Venue
Journal of Pain Research
Published
2018-03
Volume
Volume 11
Pages
571-587
ISSN
1178-7090 (ISSN-L)
OpenAlex
W2793525428
Cited by
299
References
194
FWCI
34.81
Type
journal article
Language
en
Open access
gold

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CoChat. (2026). Citation check: Management of pain in patients with temporomandibular disorder (TMD): challenges and solutions. https://app.cochat.ai/papers/10.2147/jpr.s127950
The paper
Gil-Martinez, A., Paris-Alemany, A., López-de-Uralde-Villanueva, I., & La Touche, R. (2018). Management of pain in patients with temporomandibular disorder (TMD): challenges and solutions. Journal of Pain Research. https://doi.org/10.2147/jpr.s127950

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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.