Can we predict mesh infections before they happen? a new study aims to find out
NCT ID NCT07725718
First seen Jul 24, 2026 · Last updated Jul 24, 2026
Summary
This study follows 420 adults undergoing abdominal wall reconstruction with mesh to identify which patient, surgical, and recovery factors most strongly predict a mesh infection within 90 days. Researchers will track 18 potential risk factors and use statistical analysis to pinpoint the independent contributors. The goal is to help surgeons better assess risk, tailor surgical choices, and improve shared decision-making with patients.
What this could mean
Our plain-language read of the trial. This is informational only — not medical advice or a prediction.
- What this could lead to
- If successful, this could help surgeons identify high-risk patients before surgery and choose safer techniques or materials to prevent mesh infections.
- What could go wrong
- This is an observational study, not a treatment trial, so it cannot prove cause and effect. Results may not apply to other hospitals or patient groups.
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Conditions
The condition(s) this trial relates to.
As listed by the trial registrant
The condition terms exactly as the trial's registrant entered them.
Contacts and locations
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Study contacts
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Contact
Phone: •••-•••-•••• Email: •••••@•••••
Locations
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Minia University Hospitals - Department of Surgery, Faculty of Medicine, Minia University
Minya, Minya Governorate, 61519, Egypt
Contact Phone: •••-•••-•••• Email: •••••@•••••
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