New model could help doctors spot uric acid stones without surgery
NCT ID NCT07328932
First seen Jan 09, 2026 · Last updated Jun 22, 2026 · Updated 25 times
Summary
This observational study aims to develop a model that uses patient information, lab results, and CT scans to accurately identify uric acid urinary stones before treatment. Researchers will enroll 1,650 patients undergoing surgery for urinary stones and compare the model's predictions with the actual stone composition. If successful, this could help doctors choose the right prevention and treatment strategies without needing to analyze the stone after removal.
Disclaimer
Read more
Show less
This is a summary of
the original study
.
Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes no responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.
Get updates
Get notified about this study
Sign up to get updates when this study changes or when new studies for URINARY TRACT STONES are added.
By submitting, you agree to our Terms of use
Contacts and locations
Show contact details
Enter your email to view the contact information for this study.
By submitting, you agree to our Terms of use
Locations
-
Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, 200000, China
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 give doctors a reliable, non-invasive way to tell uric acid stones from other types before surgery, leading to more personalized treatment.
What could go wrong
This is an observational study, not a treatment trial. The model may not be accurate enough for widespread use, and results may not apply to all patients or settings.
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.