Funded Projects

Explore our currently funded projects. You may search with all three fields, then focus your results by applying any of the dropdown filters. After customizing your search, you may download results and even save your specific search for later.

Reset
Project # Project Title Research Focus Area Research Program Administering IC Institution(s) Investigator(s) Location(s) Year Awarded
1U24NS113784-01
University of Rochester Hub and Spokes for the EPPIC Network - Specialized Clinical Center Clinical Research in Pain Management Early Phase Pain Investigation Clinical Network (EPPIC-Net) NINDS UNIVERSITY OF ROCHESTER MARKMAN, JOHN DOUGLAS (contact); GEWANDTER, JENNIFER Rochester, NY 2019
NOFO Title: HEAL Initiative: Early Phase Pain Investigation Clinical Network - Specialized Clinical Centers (U24 Clinical Trials Not Allowed)
NOFO Number: RFA-NS-19-025
Summary:

The NIH’s HEAL Initiative aims to support collaboration between clinical research experts in academia and industry to accelerate the development of highly efficacious, nonaddictive analgesics for well-defined chronic pain syndromes. The University of Rochester (UR), and its leadership for the UR Hub and Spokes within Early Phase Pain Investigation Clinical Network (EPPIC-Net), will recruit subjects with a broad range of pain conditions, with a focus on leveraging clinical trial infrastructure to support patient recruitment and retention, timely and accurate data entry, and regulatory documentation, as well as recruit additional Spoke sites through a national network of analgesic researchers.
1U24NS115708-01
University of Pittsburgh Hub and Spoke Pain Clinical Trial Network Clinical Research in Pain Management Early Phase Pain Investigation Clinical Network (EPPIC-Net) NINDS UNIVERSITY OF PITTSBURGH AT PITTSBURGH WASAN, AJAY D (contact); ALTER, BENEDICT J Pittsburgh, PA 2019
NOFO Title: HEAL Initiative: Early Phase Pain Investigation Clinical Network - Specialized Clinical Centers (U24 Clinical Trial Not Allowed)
NOFO Number: RFA-NS-19-036
Summary:

For many years in the field of pain medicine it has been noted that many promising treatments emerging from animal studies fail to demonstrate efficacy in human trials. There are many reasons for these phenomena, and one of the key steps to improve this situation and establish more effective nonopioid treatments for pain is more rigorous conduct of multisite pain clinical trials from an experienced multidisciplinary team of investigators. The University of Pittsburgh Hub and Spoke Clinical Trials Network will establish an organizational structure to capitalize on institutional expertise at our Spokes to lead specific phase 2 clinical trials through EPPIC-Net.
3U19AR076734-01S3
University of Michigan BACPAC Mechanistic Research Center Clinical Research in Pain Management Back Pain Consortium Research Program NIAMS UNIVERSITY OF MICHIGAN AT ANN ARBOR CLAUW, DANIEL J Ann Arbor, MI 2021
NOFO Title: Notice of Special Interest to Encourage Eligible NIH HEAL Initiative Awardees to Apply for Administrative Supplements to Support Career Enhancement Related to Clinical Research on Pain (Admin Supp – Clinical Trial Not Allowed)
NOFO Number: NOT-NS-21-048
Summary:

There are numerous pharmacological and non-pharmacological interventions for chronic low back pain, yet no treatment is universally effective. This award supports an early career physician to develop skills to prepare for a career in clinical pain research in an environment aiming to understand patient characteristics that predict differential responses to pain interventions and thus allow for tailored treatments. This research assesses the impact of mindfulness-based stress reduction on pain interference reported by people with chronic low back pain and explores neurobiological effects of mindfulness-based stress reduction through advanced imaging and clinical assessments.
3U19AR076734-01S1
University of Michigan BACPAC Mechanistic Research Center Clinical Research in Pain Management Back Pain Consortium Research Program NIAMS UNIVERSITY OF MICHIGAN AT ANN ARBOR CLAUW, DANIEL J Ann Arbor, MI 2020
NOFO Title: Notice of Special Interest to Encourage Eligible NIH HEAL Initiative Awardees to Apply for Administrative Supplements to Promote Training in Clinical Research on Pain (Admin Supp ? Clinical Trial Not Allowed)
NOFO Number: NOT-NS-20-044
Summary:

There are numerous non-pharmacological interventions for chronic low back pain, yet no treatment is invariably effective for all. Understanding patient characteristics that predict differential responses to these non-pharmacological interventions will allow for tailored treatments to maximize positive patient impact. This supplement supports a training experience for an individual in clinical pain research, including exploring differential response to psychotherapeutic interventions. The aim of the project is to provide an extensive systematic literature review examining baseline phenotypic factors that predict differential responsiveness to the some of the most commonly used psychotherapeutic interventions for chronic low back pain.
3U19AR076734-01S4
University of Michigan BACPAC Mechanistic Research Center Clinical Research in Pain Management Back Pain Consortium Research Program NIAMS UNIVERSITY OF MICHIGAN AT ANN ARBOR CLAUW, DANIEL J Ann Arbor, MI 2021
NOFO Title: HEAL Initiative: Notice of Special Interest (NOSI) regarding the Availability of Administrative Supplements to Support Strategies to Increase Participant Diversity, Inclusion and Engagement in Clinical Studies
NOFO Number: NOT-NS-21-025
Summary:

Chronic overlapping pain conditions represent up to half of all chronic pain cases and can be more debilitating than other forms of chronic pain. These conditions include but are not limited to the following: temporomandibular disorders, fibromyalgia, irritable bowel syndrome, vulvodynia, interstitial cystitis/painful bladder syndrome, painful endometriosis, chronic tension type headache, migraine headache, chronic low back pain, and chronic fatigue syndrome. Common neurobiological mechanisms have been suspected to account for the overlap between these conditions, but until recently it has been difficult to efficiently classify each condition within individual patients. A digital classification tool for clinicians has been developed for this purpose, but access to the tool remains limited. Here we propose converting this chronic overlapping pain conditions classification tool into a common web-based application format.