Can big data improve safety in gynecologic surgery?
NCT ID NCT07772076
First seen Aug 19, 2026 · Last updated Aug 20, 2026 · Updated 1 time
Summary
This study is a large registry that will collect detailed information from thousands of women undergoing surgery for non-cancerous gynecologic conditions like fibroids, endometriosis, and ovarian cysts. The goal is to track surgical techniques, complications, and recovery in real-world practice. By analyzing this data, researchers hope to identify factors that lead to better outcomes and fewer complications, ultimately improving care for future patients.
What this could mean
Our plain-language read of the trial. This is informational only, not medical advice or a prediction.
- Active substance
- Standard surgical procedures for benign gynecological conditions
- What this could lead to
- If successful, this registry could identify best practices and risk factors, leading to improved surgical outcomes and fewer complications for women undergoing gynecologic surgery.
- What could go wrong
- As an observational registry, it cannot prove cause and effect. Data quality depends on real-world reporting, and findings may not change practice without further studies.
This is an AI summary of the original study and may miss details. Read our disclaimer.
Study facts
What this study's own registry entry says, in plain language.
- Participants
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About 6,000 people
The number the study aims to enrol. It can still change while the study runs.
- Expected to start
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Sep 2026
An estimate. Start dates often move.
- Expected to finish
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Sep 2039
An estimate. End dates often move.
- Lead sponsor
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Other sponsor
The registry's catch-all category, for sponsors it does not file as a company, a government agency, or a research network.
Who can take part
This study's own entry requirements. Only the study team can say for certain whether you qualify.
Who is studied
Women scheduled to undergo elective surgery for benign gynecological conditions (including uterine fibroids, adenomyosis, endometriosis, pelvic growths, pelvic adhesions, cervical-vulvar-vaginal dysplasia, endometrial hyperplasia, infertility, pelvic inflammatory disease, intracavitary polyps/myomas, female genital malformations, or genital prolapse) at the Gynecology Unit of IRCCS San Raffaele Hospital.
- Ages
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18 years and older
- Sex
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Female participants only
- Healthy volunteers
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Not accepted
This study is not open to healthy volunteers. The entry requirements below say who it is open to.
Show the full entry requirements Hide the full entry requirements
Copied word for word from the study's registry entry, so the wording is the study team's rather than ours.
Inclusion Criteria: 1. Age \>= 18 years 2. Diagnosis of benign gynecological disease (e.g., uterine fibroids, endometriosis, pelvic neoplasm, endometrial polyp, endometrial hyperplasia, cervical dysplasia, pelvic adhesions, isthmocele, genital prolapse, adenomyosis, female genital malformations, pelvic inflammatory disease) 3. Indication for elective benign gynecological surgery 4. Signed written informed consent for data collection Exclusion Criteria: 1. Age \< 18 years 2. Suspected or confirmed malignant gynecological disease 3. Current pregnancy 4. Emergency / unscheduled surgical procedure 5. No indication for surgery 6. Refusal or inability to provide signed informed consent
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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.
How to take part
Only the study team decides who joins. These are the ways to reach them.
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The places running it
1 site. The list below names each one and where it is.
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The official record
ClinicalTrials.gov lists the study team's own contact details, including names and phone numbers. We don't republish those.
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A doctor treating you
A doctor who knows your case can contact a study site on your behalf, and can tell you whether this study is worth pursuing at all.
Contacts and locations
Locations
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IRCCS Ospedale San Raffaele - U.O. Ginecologia e Ostetricia
Milan, Milano, Italy
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