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

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Title: Predicting chronic postsurgical pain: current evidence and a novel program to develop predictive biomarker signatures.
Authors: Sluka KA; Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA., Wager TD; Department of Psychological and Brain Sciences, Dartmouth College, Hanover, NH., Sutherland SP; Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD., Labosky PA; Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD., Balach T; Department of Orthopaedic Surgery and Rehabilitation Medicine, The University of Chicago, Chicago, IL., Bayman EO; Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA., Berardi G; Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA., Brummett CM; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI., Burns J; Division of Behavioral Sciences, Rush Medical College, Chicago, IL., Buvanendran A; Department of Anesthesiology, Rush Medical College, Chicago, IL., Caffo B; Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD., Calhoun VD; Tri-Institutional Center for Translational Research in Neuroimaging and Data Science (TReNDS), Georgia State, Georgia Tech, and Emory University, Atlanta, GA., Clauw D; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI., Chang A; Department of Surgery, University of Michigan Medical School, Ann Arbor, MI., Coffey CS; Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA., Dailey DL; Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA., Ecklund D; Clinical Trials and Data Management Center, Department of Biostatistics, University of Iowa, Iowa City, IA., Fiehn O; University of California, Davis, Davis, CA, United States., Fisch KM; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States.; Center for Computational Biology and Bioinformatics, University of California San Diego, San Diego, CA, United States., Frey Law LA; Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA., Harris RE; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI., Harte SE; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI., Howard TD; Department of Biochemistry, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC.; Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC., Jacobs J; Department of Orthopedic Surgery, Rush Medical College, CHicago, IL., Jacobs JM; Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA., Jepsen K; Institute for Genomic Medicine Genomics Center., Johnston N; National Institute on Drug Abuse, Bethesda, MD., Langefeld CD; Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC.; Department of Biostatistics and Data Science, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC., Laurent LC; Department of Obstetrics, Gynecology and Reproductive Sciences, University of California San Diego, San Diego, CA, United States., Lenzi R; Office of Strategic Coordination, Division of Program Coordination, Planning and Strategic Initiatives, Office of the Director, National Institutes of Health, Bethesda, MD., Lindquist MA; Department of Biostatistics, Johns Hopkins Bloomberg Schools of Public Health, Baltimore, MD., Lokshin A; Hillman Cancer Center., Kahn A; Texas Advanced Computing Center, University of Texas, AUstin, TX., McCarthy RJ; Department of Anesthesiology, Rush Medical College, Chicago, IL., Olivier M; Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC.; Department of Internal Medicine, Center for Precision Medicine, Wake Forest School of Medicine, Winstom-Salem, NC., Porter L; National Institute of Neurological Disorders and Stroke, Bethesda, MD.; Office of Pain Policy and Planning National Institutes of Health, Bethesda, MD., Qian WJ; Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA., Sankar CA; National Institute of Neurological Disorders and Stroke, Bethesda, MD., Satterlee J; National Institute on Drug Abuse, Bethesda, MD., Swensen AC; Environmental and Molecular Sciences Laboratory, Biological Sciences Division, Pacific Northwest National Laboratory, Richland, WA., Vance CGT; Department of Physical Therapy and Rehabilitation Science, Carver College of Medicine, University of Iowa, Iowa City, IA., Waljee J; Department of Surgery, University of Michigan Medical School, Ann Arbor, MI., Wandner LD; National Institute of Neurological Disorders and Stroke, Bethesda, MD., Williams DA; Department of Anesthesiology, University of Michigan Medical School, Ann Arbor, MI., Wixson RL; NorthShore Orthopaedic and Spine Institute, CHicago, IL., Zhou XJ; Center for MR Research and Departments of Radiology, Neurosurgery, and Bioengineering, University of Illinois College of Medicine at Chicago, Chicago, IL, United States.
Corporate Authors: A2CPS Consortium
Source: Pain [Pain] 2023 Sep 01; Vol. 164 (9), pp. 1912-1926. Date of Electronic Publication: 2023 Jun 15.
Publication Type: Review; Journal Article; Research Support, N.I.H., Extramural
Journal Info: Publisher: Lippincott Williams & Wilkins Country of Publication: United States NLM ID: 7508686 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1872-6623 (Electronic) Linking ISSN: 03043959 NLM ISO Abbreviation: Pain Subsets: MEDLINE
Database: MEDLINE Ultimate
Description
ISSN:1872-6623
DOI:10.1097/j.pain.0000000000002938