New model could help doctors spot uric acid stones without surgery
NCT ID NCT07328932
First seen Jun 27, 2026 · Last updated Jun 27, 2026
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.
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.
This is an AI summary of the original study and may miss details. Read our disclaimer.
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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
Locations
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Shanghai General Hospital, Shanghai Jiao Tong University School of Medicine
Shanghai, Shanghai Municipality, 200000, China
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Other studies related to the condition(s) this trial covers.