Chronic Musculoskeletal PainNCT04994249
Diagnostic and Prognostic Biomarkers for High-impact Chronic Pain: Development and Validation
An observational study of Chronic Musculoskeletal Pain and Pain, run by Stanford University at 1 site in United States.
Trial summary
To identify diagnostic and prognostic biomarker signatures of recovery versus having persisting high-impact chronic pain and functional disability in adults with Chronic Musculoskeletal Pain. Read more about this study
- Who is it for?
- Ages 18 to 80 years
- Conditions the study is for
- Chronic Musculoskeletal Pain, Pain, Pain, Chronic
- How many people
- 250 participants
- Where
- 1 siteUnited States
- Study dates
- 21 Mar 2022to 31 Dec 2027
- Phase
- Observational
- Are there results?
- Not yet: the study is under way
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 to 80 years
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Musculoskeletal high-impact chronic pain.
Who may be able to join
- 1) Inclusion criteria: Adults (18-80 years; ~64% female expected based on clinic distribution) with chronic MSP as categorized by the World Health Organization (WHO).
Who cannot join
- 1) Chronic musculoskeletal pain (MSP) explained by inflammatory disease (e.g., rheumatoid arthritis, lupus) or CP with a primary diagnosis other than chronic MSP (e.g., neuropathic pain), (2) significant cognitive impairment, (3) MRI contraindication, (4) medical or psychiatric problems interfering with the study, (5) current medicolegal factors (e.g., open disability claim), (6) plans for surgery during the study, (7) pregnancy and (8) Children under the age of 18 will not be included in the study.
Trial locations and contacts
1 site in 1 country.
About this study
To identify diagnostic and prognostic biomarker signatures of recovery versus having persisting high-impact chronic pain and functional disability in adults with Chronic Musculoskeletal Pain.
Read the detailed description
Our overall goal is to discover and validate diagnostic and prognostic biomarkers for musculoskeletal high-impact chronic pain. Chronic pain represents a public health crisis that affects 50-100 million Americans and costs over $500 billion dollars annually. Chronic musculoskeletal pain conditions comprise 70-80% of all chronic pain. The highest-need and most impacted patients are those with high-impact chronic pain (affecting ~20 million Americans), or pain associated with substantially restricted work, social, and self-care activities for six or more months. Chronic pain-and high-impact chronic pain in particular-is often treated with prescription opioids, and is linked to opioid-use disorder. Multidisciplinary chronic pain treatments show incomplete recovery at the population level. However, subgroups of individuals completely respond, do not change, or even worsen following pain management. Thus, robust and validated diagnostic and prognostic biomarkers are needed to identify those with high-impact chronic pain and determine the trajectory of outcome (i.e., recovery versus persistence), respectively. Such biomarkers are essential to develop safer, more effective patient-specific treatment strategies, particularly for those who are refractory to current treatment options.
Many factors have been shown to be (1) diagnostic for the severity and impact of chronic pain or (2) prognostic of the trajectory of chronic pain, including those that are related to the central nervous system (CNS; structure, function), psychosocial (e.g., anxiety, catastrophizing, social isolation), sensory (e.g., temporal summation, conditioned pain modulation),1functional (e.g., accelerometry), multiomic (e.g., immune, microbiome), and demographic. However, these studies are limited by (1) association rather than predictive validity; (2) small sample sizes; (3) homogenous populations limiting external validity; and (4) single modality factors. As chronic pain is a biopsychosocial condition, the investigator will need to measure broadly across these multiple dimensions; the most valuable insights will be gained by understanding not only individual pieces of data, but the relationships among them. Recognizing the critical need for rapid, valid, and clinically useful breakthroughs in signature discovery for risk- and treatment-stratification and novel therapeutic targets for chronic pain, as called for in the HEAL initiative, the investigator's aim is to discover reliable, validated diagnostic and prognostic biomarker signatures of musculoskeletal high-impact chronic pain by integrating CNS, multiomic, sensory, functional, psychosocial, and demographic domains.
- Conditions
- Chronic Musculoskeletal Pain, Pain, Pain, Chronic, Joint Pain
- Keywords
- Pain
- Medical subject headings
- Pain, Chronic Pain, Arthralgia
What is being measured
The primary outcome is the main question the study is designed to answer.
Pain Interference:
Pain Interference using Patient-Reported Outcome Measurement Information System (PROMIS)-Pain Interference on a T score (mean: 50; standard deviation: 10) and Graded Chronic Pain Scale (GCPS)
Measured: 6 months after baseline assessment
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted6 Aug 2021
- Study start21 Mar 2022
- Primary completion25 Apr 2027 (estimated)
- Study completion31 Dec 2027 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (10)Papers the sponsor has linked to this study.
- Other trials for Chronic Musculoskeletal PainStudies of the same condition, open and under way.
- More trials run by Stanford UniversityThe sponsor's other registered studies.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 250 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Stanford University
- Sponsor type
- University, hospital or other
- Responsible party
- Principal investigator, Sean Mackey, Stanford University
- Investigators
- Sean Mackey, MD, PhD., Principal investigator, Stanford University
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT04994249
- Sponsor's protocol ID
- 60657
- Other IDs
- 1R61NS118651-01A1
- Status last verified
- Feb 2026
- First submitted
- 29 Jul 2021
- Last updated
- 20 Feb 2026
- Results posted
- No
- Data monitoring committee
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Undecided
Publications
Von Korff M, Scher AI, Helmick C, Carter-Pokras O, Dodick DW, Goulet J, Hamill-Ruth R, LeResche L, Porter L, Tait R, Terman G, Veasley C, Mackey S. United States National Pain Strategy for Population Research: Concepts, Definitions, and Pilot Data. J Pain. 2016 Oct;17(10):1068-1080. doi: 10.1016/j.jpain.2016.06.009. Epub 2016 Jul 1.
PubMed 27377620Kutch JJ, Labus JS, Harris RE, Martucci KT, Farmer MA, Fenske S, Fling C, Ichesco E, Peltier S, Petre B, Guo W, Hou X, Stephens AJ, Mullins C, Clauw DJ, Mackey SC, Apkarian AV, Landis JR, Mayer EA; MAPP Research Network. Resting-state functional connectivity predicts longitudinal pain symptom change in urologic chronic pelvic pain syndrome: a MAPP network study. Pain. 2017 Jun;158(6):1069-1082. doi: 10.1097/j.pain.0000000000000886.
PubMed 28328579Ung H, Brown JE, Johnson KA, Younger J, Hush J, Mackey S. Multivariate classification of structural MRI data detects chronic low back pain. Cereb Cortex. 2014 Apr;24(4):1037-44. doi: 10.1093/cercor/bhs378. Epub 2012 Dec 17.
PubMed 23246778Brown JE, Chatterjee N, Younger J, Mackey S. Towards a physiology-based measure of pain: patterns of human brain activity distinguish painful from non-painful thermal stimulation. PLoS One. 2011;6(9):e24124. doi: 10.1371/journal.pone.0024124. Epub 2011 Sep 13.
PubMed 21931652Feinstein AB, Sturgeon JA, Darnall BD, Dunn AL, Rico T, Kao MC, Bhandari RP. The Effect of Pain Catastrophizing on Outcomes: A Developmental Perspective Across Children, Adolescents, and Young Adults With Chronic Pain. J Pain. 2017 Feb;18(2):144-154. doi: 10.1016/j.jpain.2016.10.009. Epub 2016 Nov 5.
PubMed 27825857Bhandari RP, Feinstein AB, Huestis SE, Krane EJ, Dunn AL, Cohen LL, Kao MC, Darnall BD, Mackey SC. Pediatric-Collaborative Health Outcomes Information Registry (Peds-CHOIR): a learning health system to guide pediatric pain research and treatment. Pain. 2016 Sep;157(9):2033-2044. doi: 10.1097/j.pain.0000000000000609.
PubMed 27280328Sharifzadeh Y, Kao MC, Sturgeon JA, Rico TJ, Mackey S, Darnall BD. Pain Catastrophizing Moderates Relationships between Pain Intensity and Opioid Prescription: Nonlinear Sex Differences Revealed Using a Learning Health System. Anesthesiology. 2017 Jul;127(1):136-146. doi: 10.1097/ALN.0000000000001656.
PubMed 28614083Karayannis NV, Baumann I, Sturgeon JA, Melloh M, Mackey SC. The Impact of Social Isolation on Pain Interference: A Longitudinal Study. Ann Behav Med. 2019 Jan 1;53(1):65-74. doi: 10.1093/abm/kay017.
PubMed 29668841Sturgeon JA, Dixon EA, Darnall BD, Mackey SC. Contributions of physical function and satisfaction with social roles to emotional distress in chronic pain: a Collaborative Health Outcomes Information Registry (CHOIR) study. Pain. 2015 Dec;156(12):2627-2633. doi: 10.1097/j.pain.0000000000000313.
PubMed 26230739Goodin BR, Bulls HW, Herbert MS, Schmidt J, King CD, Glover TL, Sotolongo A, Sibille KT, Cruz-Almeida Y, Staud R, Fessler BJ, Redden DT, Bradley LA, Fillingim RB. Temporal summation of pain as a prospective predictor of clinical pain severity in adults aged 45 years and older with knee osteoarthritis: ethnic differences. Psychosom Med. 2014 May;76(4):302-10. doi: 10.1097/PSY.0000000000000058.
PubMed 24804882
Study at a glance
From the registry record, last updated by the sponsor on 20 Feb 2026. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Diagnostic and Prognostic Biomarkers for High-impact Chronic Pain: Development and Validation
- ClinicalTrials.gov ID
- NCT04994249
- Acronym / sponsor ID
- 60657
- Conditions
- Chronic Musculoskeletal Pain, Pain, Pain, Chronic, Joint Pain
- Keywords
- Pain
- Study type
- Observational
- Recruitment status
- Active, not recruiting
- Enrolment
- 250 participants (estimated)
- Lead sponsor
- Stanford UniversityUniversity, hospital or other
- Collaborators
- National Institute of Neurological Disorders and Stroke (NINDS)
- Study start
- 21 Mar 2022 (actual)
- Primary completion
- 25 Apr 2027 (estimated)
- Study completion
- 31 Dec 2027 (estimated)
- First posted
- 6 Aug 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
To identify diagnostic and prognostic biomarker signatures of recovery versus having persisting high-impact chronic pain and functional disability in adults with Chronic Musculoskeletal Pain.
Detailed description
Our overall goal is to discover and validate diagnostic and prognostic biomarkers for musculoskeletal high-impact chronic pain. Chronic pain represents a public health crisis that affects 50-100 million Americans and costs over $500 billion dollars annually. Chronic musculoskeletal pain conditions comprise 70-80% of all chronic pain. The highest-need and most impacted patients are those with high-impact chronic pain (affecting ~20 million Americans), or pain associated with substantially restricted work, social, and self-care activities for six or more months. Chronic pain-and high-impact chronic pain in particular-is often treated with prescription opioids, and is linked to opioid-use disorder. Multidisciplinary chronic pain treatments show incomplete recovery at the population level. However, subgroups of individuals completely respond, do not change, or even worsen following pain management. Thus, robust and validated diagnostic and prognostic biomarkers are needed to identify those with high-impact chronic pain and determine the trajectory of outcome (i.e., recovery versus persistence), respectively. Such biomarkers are essential to develop safer, more effective patient-specific treatment strategies, particularly for those who are refractory to current treatment options.
Many factors have been shown to be (1) diagnostic for the severity and impact of chronic pain or (2) prognostic of the trajectory of chronic pain, including those that are related to the central nervous system (CNS; structure, function), psychosocial (e.g., anxiety, catastrophizing, social isolation), sensory (e.g., temporal summation, conditioned pain modulation),1functional (e.g., accelerometry), multiomic (e.g., immune, microbiome), and demographic. However, these studies are limited by (1) association rather than predictive validity; (2) small sample sizes; (3) homogenous populations limiting external validity; and (4) single modality factors. As chronic pain is a biopsychosocial condition, the investigator will need to measure broadly across these multiple dimensions; the most valuable insights will be gained by understanding not only individual pieces of data, but the relationships among them. Recognizing the critical need for rapid, valid, and clinically useful breakthroughs in signature discovery for risk- and treatment-stratification and novel therapeutic targets for chronic pain, as called for in the HEAL initiative, the investigator's aim is to discover reliable, validated diagnostic and prognostic biomarker signatures of musculoskeletal high-impact chronic pain by integrating CNS, multiomic, sensory, functional, psychosocial, and demographic domains.
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 to 80 years
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Musculoskeletal high-impact chronic pain.
Key inclusion criteria (1 listed)
- 1) Inclusion criteria: Adults (18-80 years; ~64% female expected based on clinic distribution) with chronic MSP as categorized by the World Health Organization (WHO).
Key exclusion criteria (1 listed)
- 1) Chronic musculoskeletal pain (MSP) explained by inflammatory disease (e.g., rheumatoid arthritis, lupus) or CP with a primary diagnosis other than chronic MSP (e.g., neuropathic pain), (2) significant cognitive impairment, (3) MRI contraindication, (4) medical or psychiatric problems interfering with the study, (5) current medicolegal factors (e.g., open disability claim), (6) plans for surgery during the study, (7) pregnancy and (8) Children under the age of 18 will not be included in the study.
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Pain Interference:
Time frame: 6 months after baseline assessment
Pain Interference using Patient-Reported Outcome Measurement Information System (PROMIS)-Pain Interference on a T score (mean: 50; standard deviation: 10) and Graded Chronic Pain Scale (GCPS)
Results and safety
This study is still under way. Results are not available in the source record yet.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 20 Feb 2026.
- Background: PubMed 27377620Von Korff M, Scher AI, Helmick C, Carter-Pokras O, Dodick DW, Goulet J, Hamill-Ruth R, LeResche L, Porter L, Tait R, Terman G, Veasley C, Mackey S. United States National Pain Strategy for Population Research: Concepts, Definitions, and Pilot Data. J Pain. 2016 Oct;17(10):1068-1080. doi: 10.1016/j.jpain.2016.06.009. Epub 2016 Jul 1.
- Background: PubMed 28328579Kutch JJ, Labus JS, Harris RE, Martucci KT, Farmer MA, Fenske S, Fling C, Ichesco E, Peltier S, Petre B, Guo W, Hou X, Stephens AJ, Mullins C, Clauw DJ, Mackey SC, Apkarian AV, Landis JR, Mayer EA; MAPP Research Network. Resting-state functional connectivity predicts longitudinal pain symptom change in urologic chronic pelvic pain syndrome: a MAPP network study. Pain. 2017 Jun;158(6):1069-1082. doi: 10.1097/j.pain.0000000000000886.
- Background: PubMed 23246778Ung H, Brown JE, Johnson KA, Younger J, Hush J, Mackey S. Multivariate classification of structural MRI data detects chronic low back pain. Cereb Cortex. 2014 Apr;24(4):1037-44. doi: 10.1093/cercor/bhs378. Epub 2012 Dec 17.
- Background: PubMed 21931652Brown JE, Chatterjee N, Younger J, Mackey S. Towards a physiology-based measure of pain: patterns of human brain activity distinguish painful from non-painful thermal stimulation. PLoS One. 2011;6(9):e24124. doi: 10.1371/journal.pone.0024124. Epub 2011 Sep 13.
- Background: PubMed 27825857Feinstein AB, Sturgeon JA, Darnall BD, Dunn AL, Rico T, Kao MC, Bhandari RP. The Effect of Pain Catastrophizing on Outcomes: A Developmental Perspective Across Children, Adolescents, and Young Adults With Chronic Pain. J Pain. 2017 Feb;18(2):144-154. doi: 10.1016/j.jpain.2016.10.009. Epub 2016 Nov 5.
- Background: PubMed 27280328Bhandari RP, Feinstein AB, Huestis SE, Krane EJ, Dunn AL, Cohen LL, Kao MC, Darnall BD, Mackey SC. Pediatric-Collaborative Health Outcomes Information Registry (Peds-CHOIR): a learning health system to guide pediatric pain research and treatment. Pain. 2016 Sep;157(9):2033-2044. doi: 10.1097/j.pain.0000000000000609.
- Background: PubMed 28614083Sharifzadeh Y, Kao MC, Sturgeon JA, Rico TJ, Mackey S, Darnall BD. Pain Catastrophizing Moderates Relationships between Pain Intensity and Opioid Prescription: Nonlinear Sex Differences Revealed Using a Learning Health System. Anesthesiology. 2017 Jul;127(1):136-146. doi: 10.1097/ALN.0000000000001656.
- Background: PubMed 29668841Karayannis NV, Baumann I, Sturgeon JA, Melloh M, Mackey SC. The Impact of Social Isolation on Pain Interference: A Longitudinal Study. Ann Behav Med. 2019 Jan 1;53(1):65-74. doi: 10.1093/abm/kay017.
- Background: PubMed 26230739Sturgeon JA, Dixon EA, Darnall BD, Mackey SC. Contributions of physical function and satisfaction with social roles to emotional distress in chronic pain: a Collaborative Health Outcomes Information Registry (CHOIR) study. Pain. 2015 Dec;156(12):2627-2633. doi: 10.1097/j.pain.0000000000000313.
- Background: PubMed 24804882Goodin BR, Bulls HW, Herbert MS, Schmidt J, King CD, Glover TL, Sotolongo A, Sibille KT, Cruz-Almeida Y, Staud R, Fessler BJ, Redden DT, Bradley LA, Fillingim RB. Temporal summation of pain as a prospective predictor of clinical pain severity in adults aged 45 years and older with knee osteoarthritis: ethnic differences. Psychosom Med. 2014 May;76(4):302-10. doi: 10.1097/PSY.0000000000000058.
- Individual participant dataSharing planned: Undecided
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Sean Mackey, MD, PhD. principal investigator
Stanford University
1 site in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Chronic Musculoskeletal Pain and Pain, run by Stanford University at 1 site in United States.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 1 inclusion and 1 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: under way, not looking for participants, as of the sponsor's last update on 20 Feb 2026. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 1 site in United States. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
This study is still under way. Results are not available in the source record yet.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Pain Interference: (time frame: 6 months after baseline assessment). It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT04994249, which also lists 10 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 20 Feb 2026.