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Collaborative Research on the Transition From Acute to Chronic Pain: New Models and Measures in Clinical and Preclinical Pain Research (R01)

Sector: Hospital • Location: United States of America

Source: Grants.gov

Project
Archived

The overall goal of this FOA is to stimulate preclinical and clinical research that will accelerate our understanding of the biological and behavioral determinants driving the transition from acute pain to chronic pain disorders. An understanding of the mechanisms and risk factors that determine who will transition to a chronic pain state is necessary in order to intervene in this transition and t

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The project “Collaborative Research on the Transition From Acute to Chronic Pain: New Models and Measures in Clinical and Preclinical Pain Research (R01)” is an infrastructure initiative in the Hospital sector, located in United States of America. Taiyo aggregates data on it from Grants.gov.

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archived

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Description

Description

The overall goal of this FOA is to stimulate preclinical and clinical research that will accelerate our understanding of the biological and behavioral determinants driving the transition from acute pain to chronic pain disorders. An understanding of the mechanisms and risk factors that determine who will transition to a chronic pain state is necessary in order to intervene in this transition and to design new, effective treatments to resolve acute pain before it becomes chronic. The objectives of this FOA are to: 1) assemble research teams with expertise in basic and clinical pain research and related expertise outside the pain field that will provide novel, collaborative, multidisciplinary approaches to answer crucial questions about the transition from acute to chronic pain; 2) discover biological and behavioral mechanisms that drive the transition from an acute pain state to a chronic dysfunctional pain condition; 3) develop new clinical and preclinical models and measures of pain that will be essential to identify and characterize these mechanisms. Studies that involve considerable risk but with the potential for breakthroughs in the field are strongly encouraged.

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High

Data quality score

100%

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