# University of Michigan BACPAC Mechanistic Research Center

> **NIH NIH U19** · UNIVERSITY OF MICHIGAN AT ANN ARBOR · 2021 · $129,379

## Abstract

Project Summary / Abstract
Chronic Overlapping Pain Conditions (COPCs) represent up to 50% of all chronic pain cases, occur more
commonly in women, and can be more debilitating than other forms of chronic pain. These conditions include
but are not limited to the following: temporomandibular disorders (TMD), fibromyalgia (FM), irritable bowel
syndrome (IBS), vulvodynia (VVD), interstitial cystitis/painful bladder syndrome (IC/PBS), painful endometriosis
(ENDO), chronic tension type headache (cTTH), migraine headache (MI), chronic low back pain (cLBP), and
myalgic encephalomyelitis/chronic fatigue syndrome (ME/CFS). Common neurobiological substrates (e.g.,
central sensitization) have been suspected to account for the overlap; but until recently, it has been difficult to
efficiently classify each of these conditions within individuals. A digital, logic driven classification tool has been
developed for this purpose but access to the tool remains limited. Here we propose converting this COPC
classification tool into the REDCap format so that it will be more broadly accessible by academic researchers
including those involved in the HEAL initiative. Following the REDCap conversion of the COPC screener, a
small validation study will help to assure that the new format retains its construct validity, usability, and
equivalence to existing versions of the instrument.

## Key facts

- **NIH application ID:** 10395664
- **Project number:** 3U19AR076734-01S2
- **Recipient organization:** UNIVERSITY OF MICHIGAN AT ANN ARBOR
- **Principal Investigator:** Daniel J Clauw
- **Activity code:** U19 (R01, R21, SBIR, etc.)
- **Funding institute:** NIH
- **Fiscal year:** 2021
- **Award amount:** $129,379
- **Award type:** 3
- **Project period:** 2021-06-01 → 2024-05-31

## Primary source

NIH RePORTER: https://reporter.nih.gov/project-details/10395664

## Citation

> US National Institutes of Health, RePORTER application 10395664, University of Michigan BACPAC Mechanistic Research Center (3U19AR076734-01S2). Retrieved via AI Analytics 2026-05-25 from https://api.ai-analytics.org/grant/nih/10395664. Licensed CC0.

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