Biomarkers to see if rotator cuff repairs will heal after surgery
Official title: Biomarkers to Predict Rotator Cuff Repair Healing
Run by University of Iowa · NCT07781553 · Data updated 2026-11-12
This study tests whether biomarkers in shoulder tissue and synovial fluid can predict whether a rotator cuff repair will heal, using MRI after surgery to compare those who heal with those who don’t.
Quick facts
| Study type | Interventional |
|---|---|
| Ages | 18 Years to 99 Years |
| Sex | All |
| Enrollment | 60 (estimated) |
| Sponsor | University of Iowa Academic / other |
| Locations | 1 site (Iowa City, Iowa) |
| Status | Recruiting |
| Started | September 1, 2026 |
| Main results expected | July 30, 2027 |
| Study ends | August 30, 2027 |
| Registry record updated | August 24, 2026 |
| Trial ID | NCT07781553 on ClinicalTrials.gov |
Is this trial a fit for you?
✓Likely a good fit
Adults aged 18–99 with partial or full-thickness posterior superior rotator cuff tears that underwent surgical repair and are enrolled in the Orthopedics Biobank.
✕Probably not a fit
Patients whose tissue/blood biomarkers do not correlate with healing on MRI or who have other non-biomarker factors driving healing outcomes may not receive individualized benefit from the study.
A plain-English reading of the study's rules. Only the study team can confirm whether you qualify.
What this trial studies
This study analyzes MRI data and biomarker levels from shoulder tissue and synovial fluid collected from patients in the Orthopedics Biobank. It aims to identify biomarkers associated with healing failure after rotator cuff repair and to build a model that uses demographics, imaging measurements, and biomarkers to predict healing at 12 months. The work is observational and uses imaging-confirmed outcomes to correlate biomarker profiles with healing status. The project leverages existing biobank samples and does not involve a new therapeutic intervention beyond standard care.
Why it matters
Potential benefit: If successful, the biomarker model could help predict which patients are at higher risk of non-healing after rotator cuff repair and guide personalized follow-up or treatment decisions.
How similar studies have gone: Prior research has identified some genetic and molecular factors linked to rotator cuff healing, but robust biomarker-based prediction remains limited and this study explores novel associations.
Who can join: the full rules
Show full inclusion / exclusion criteria
Inclusion Criteria: age 18-99 years partial or full thickness posterior superior rotator cuff tear that underwent surgical repair and are consented in the Orthopedics Biobank under IRB# 202403832. Exclusion criteria prisoners pregnant patients patients with prior shoulder surgery on the ipsilateral side adhesive capsulitis patients undergoing concomitant distal clavicle resection worker's compensation patients with postoperative complications.
Where it's running
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University of Iowa
Iowa City, Iowa, United States Recruiting
Study contacts
- Principal investigator: Joseph Galvin, MD — University of Iowa
- Study coordinator: Joseph Galvin, Other, MD
- Email: joseph-galvin@uiowa.edu
- Phone: 3193848378
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How to take part
- Review the eligibility criteria above with your treating physician.
- Check the official listing on ClinicalTrials.gov for the latest contact details and recruitment status.
- Contact the study coordinator or principal investigator to ask for pre-screening. Pre-screening is free and never obligates you to enroll.