Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures

Chronic pain affects more than 50 million Americans. Treatments remain inadequate, in large part, because the pathophysiological mechanisms underlying the development of chronic pain remain poorly understood. Pain biomarkers could potentially identify and measure biological pathways and phenotypical...

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Detalles Bibliográficos
Autores principales: Sluka, Kathleen A., Wager, Tor D., Sutherland, Stephani P., Labosky, Patricia A., Balach, Tessa, Bayman, Emine O., Berardi, Giovanni, Brummett, Chad M., Burns, John, Buvanendran, Asokumar, Caffo, Brian, Calhoun, Vince D., Clauw, Daniel, Chang, Andrew, Coffey, Christopher S., Dailey, Dana L., Ecklund, Dixie, Fiehn, Oliver, Fisch, Kathleen M., Frey Law, Laura A., Harris, Richard E., Harte, Steven E., Howard, Timothy D., Jacobs, Joshua, Jacobs, Jon M., Jepsen, Kristen, Johnston, Nicolas, Langefeld, Carl D., Laurent, Louise C., Lenzi, Rebecca, Lindquist, Martin A., Lokshin, Anna, Kahn, Ari, McCarthy, Robert J., Olivier, Michael, Porter, Linda, Qian, Wei-Jun, Sankar, Cheryse A., Satterlee, John, Swensen, Adam C., Vance, Carol G.T., Waljee, Jennifer, Wandner, Laura D., Williams, David A., Wixson, Richard L., Zhou, Xiaohong Joe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Wolters Kluwer 2023
Materias:
Comprehensive Review
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10436361/
https://www.ncbi.nlm.nih.gov/pubmed/37326643
http://dx.doi.org/10.1097/j.pain.0000000000002938

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