Funded Projects

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Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
3R01NR016681-02S1
MECHANISMS OF MUSIC THERAPY TO PALLIATE PAIN IN PATIENTS WITH ADVANCED CANCER Clinical Research in Pain Management NINR DREXEL UNIVERSITY BRADT, JOKE Philadelphia, PA 2018
NOFO Title: Arts-Based Approaches in Palliative Care for Symptom Management (R01)
NOFO Number: PAR-14-294
Summary:

This study addresses the public health problem of chronic pain as one of the most feared symptoms in people with cancer. Insufficient relief from pharmacological treatments and the fear of side effects are important reasons for the growing use of complementary pain management approaches in people with cancer. One such approach is music therapy. Although efficacy of music therapy for pain has been established, there are no mechanistic studies clarifying how it works in clinical populations. The overarching goals of this study are to 1) examine mediators and moderators hypothesized to account for the pain-reducing effects of interactive music therapy (IMT) in people with advanced cancer and chronic pain and 2) validate IMT’s theory of action. The results of this study will provide estimated effects sizes of IMT on the mediators and preliminary effect size estimates for the pain outcomes. This information will be instrumental in the development of a subsequent large-scale efficacy trial.
3R01LM010685-09S1
BEYOND PHEWAS: RECOGNITION OF PHENOTYPE PATTERNS FOR DISCOVERY AND TRANSLATION - ADMINISTRATIVE SUPPLEMENT Preclinical and Translational Research in Pain Management NLM VANDERBILT UNIVERSITY MEDICAL CENTER Denny, Joshua C. NASHVILLE, TN 2018
NOFO Title: Administrative Supplements to Existing NIH Grants and Cooperative Agreements (Parent Admin Supp Clinical Trial Optional)
NOFO Number: PA-18-591
Summary:

Genomic medicine offers hope for improved diagnostic methods and for more effective, patient-specific therapies. Genome-wide associated studies (GWAS) elucidate genetic markers that improve clinical understanding of risks and mechanisms for many diseases and conditions and that may ultimately guide diagnosis and therapy on a patient-specific basis. Previous phenome-wide association studies (PheWAS) established a systematic and efficient approach to identifying novel disease-variant associations and discovering pleiotropy using electronic health records (EHRs). This proposal will develop novel methods to identify associations based on patterns of phenotypes using a phenotype risk score (PheRS) methodology to systematically search for the influence of Mendelian disease variants on common disease. By doing so, it also creates a way to assess pathogenicity for rare variants and will identify patients at highest risk of having undiagnosed Mendelian disease. The project is enabled by large DNA biobanks coupled to de-identified copies of EHR.