Abstract

The University of Maryland Baltimore Center for Pain Studies (hereafter referred to as the """"""""Center"""""""") is dedicated to advancing the science of cancer treatment-related pain management through basic, translational and clinical studies. To achieve our objectives, we will enhance our campus research infrastructure to increase the quantity and quality of interdisciplinary biobehavioral studies in pain. Our outstanding group of interdisciplinary researchers from several schools and programs on campus, including Nursing (SON), Medicine (SOM), Dentistry (SOD) and the University of Maryland Medical Center Marlene and Stewart Greenebaum Cancer Center (UMMCGCC), has been working together for the past year to study the development and persistence of cancer treatment-related pain. We have started, on our campus, to build an infrastructure to support both basic and clinical studies, including behavioral testing of pain in animal models, quantitative sensory testing (QST) in human subjects, a repository of clinical self-report instruments to examine the pain experience including related psychosocial variables, and a genetics core to conduct unbiased, whole genome assays in both animal models and human subjects. This Center funding will enable us to formalize, enhance, and enact plans to sustain our Center on campus.

  Funding Agency

Agency
National Institute of Health (NIH)
Institute
National Institute of Nursing Research (NINR)
Type
Center Core Grants (P30)
Project #
5P30NR011396-03
Application #
8270324
Study Section
Special Emphasis Panel (ZNR1)
Project Start
Project End
Budget Start
2011-06-01
Budget End
2012-05-31
Support Year
3
Fiscal Year
2011
Total Cost
$446,751
Indirect Cost

  Institution

Name
University of Maryland Baltimore
Department
Type
DUNS #
188435911
City
Baltimore
State
MD
Country
United States
Zip Code
21201

  Publications

Starkweather, Angela R; Heineman, Amy; Storey, Shannon et al. (2016) Methods to measure peripheral and central sensitization using quantitative sensory testing: A focus on individuals with low back pain. Appl Nurs Res 29:237-41
Moore, Shirley M; Schiffman, Rachel; Waldrop-Valverde, Drenna et al. (2016) Recommendations of Common Data Elements to Advance the Science of Self-Management of Chronic Conditions. J Nurs Scholarsh 48:437-47
Starkweather, Angela R; Lyon, Debra E; Kinser, Patricia et al. (2016) Comparison of Low Back Pain Recovery and Persistence: A Descriptive Study of Characteristics at Pain Onset. Biol Res Nurs 18:401-10
Liang, Yulan; Kelemen, Arpad (2016) Bayesian state space models for dynamic genetic network construction across multiple tissues. Stat Appl Genet Mol Biol 15:273-90
Starkweather, Angela R; Ramesh, Divya; Lyon, Debra E et al. (2016) Acute Low Back Pain: Differential Somatosensory Function and Gene Expression Compared With Healthy No-Pain Controls. Clin J Pain 32:933-939
Redeker, Nancy S; Anderson, Ruth; Bakken, Suzanne et al. (2015) Advancing Symptom Science Through Use of Common Data Elements. J Nurs Scholarsh 47:379-88
Rantz, Marilyn; Skubic, Marjorie; Abbott, Carmen et al. (2015) Automated In-Home Fall Risk Assessment and Detection Sensor System for Elders. Gerontologist 55 Suppl 1:S78-87
Klinedinst, N Jennifer; Resnick, Barbara; Yerges-Armstrong, Laura M et al. (2015) The Interplay of Genetics, Behavior, and Pain with Depressive Symptoms in the Elderly. Gerontologist 55 Suppl 1:S67-77
Griffioen, Mari A; Dernetz, Valerie H; Yang, Gee Su et al. (2015) Evaluation of dynamic weight bearing for measuring nonevoked inflammatory hyperalgesia in mice. Nurs Res 64:81-7
Alberti, P; Rossi, E; Cornblath, D R et al. (2014) Physician-assessed and patient-reported outcome measures in chemotherapy-induced sensory peripheral neurotoxicity: two sides of the same coin. Ann Oncol 25:257-64

Showing the most recent 10 out of 21 publications