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Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures.
Sluka KA, Wager TD, Sutherland SP, Labosky PA, Balach T, Bayman EO, Berardi G, Brummett CM, Burns J, Buvanendran A, Caffo B, Calhoun VD, Clauw D, Chang A, Coffey CS, Dailey DL, Ecklund D, Fiehn O, Fisch KM, Frey Law LA, Harris RE, Harte SE, Howard TD, Jacobs J, Jacobs JM, Jepsen K, Johnston N, Langefeld CD, Laurent LC, Lenzi R, Lindquist MA, Lokshin A, Kahn A, McCarthy RJ, Olivier M, Porter L, Qian WJ, Sankar CA, Satterlee J, Swensen AC, Vance CGT, Waljee J, Wandner LD, Williams DA, Wixson RL, Zhou XJ; A2CPS Consortium. Sluka KA, et al. Pain. 2023 Sep 1;164(9):1912-1926. doi: 10.1097/j.pain.0000000000002938. Epub 2023 Jun 15. Pain. 2023. PMID: 37326643 Free PMC article. Review.