Study Results
The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.
Basic Information
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RECRUITING
200 participants
OBSERVATIONAL
2021-02-01
2025-07-31
Brief Summary
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The intensity and area of the chemical substance peaks in the Raman will be calculated and used to plot calibration curves, thereby establishing a quantitative analysis equation. This equation will be used to accurately calculate the concentration of each analyte in serum and urine samples. Based on the average concentration data for each patient group, multivariate analysis methods, such as principal component analysis (PCA) and Mahalanis distance discriminant model, will be used to classify and predict the disease types.
The preliminary data for this study comes from the Nephrology Department ofianfoshan Hospital, where different types of glomerular diseases have been pathologically classified using tools such as light microscopy, electron microscopy, and immunoforescence microscopy. By combining Raman spectroscopy technology and statistical analysis, this study aims to establish a non-invasive and efficient diagnostic tool to assist in the of kidney diseases and predict treatment outcomes.
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Detailed Description
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Conditions
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Study Design
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OTHER
PROSPECTIVE
Interventions
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Imaging Time
Raman spectroscopy images of blood and urine
Eligibility Criteria
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Inclusion Criteria
2. Patients diagnosed with IgA nephropathy, idiopathic membranous nephrop, diabetic nephropathy, or focal segmental glomerulosclerosis confirmed by renal biopsy;
3. Patients who have not received hormone and/or immunosup therapy before the renal biopsy;
Exclusion Criteria
2. Severe infection: clinical manifestations such as fever, cough and sputum, throat, abdominal pain, diarrhea, boils and other skin and soft tissue infections, with white blood cell count in blood routine exceeding the normal range (10×09/L);
3. Severe cardiovascular disease: including chronic heart failure of grade 3 or above and various arrhythmias;
4. Infect diseases: active phase of various types of hepatitis, AIDS, syphilis, etc.;
5. Evidence of tumor: already diagnosed with a certain tumor or manifestations, tumor markers, etc. indicating the possibility of a tumor;
6. Patients with incomplete data or missed diagnosis.
ALL
Yes
Sponsors
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Zunsong Wang
OTHER
Responsible Party
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Zunsong Wang
Dr
Locations
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Shandong Second Medical University. No.7166 Baotong West Street, Weifang, Shandong, 261053, China.
Jinan, Shandong, China
Countries
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Central Contacts
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Facility Contacts
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References
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Lima C, Muhamadali H, Goodacre R. The Role of Raman Spectroscopy Within Quantitative Metabolomics. Annu Rev Anal Chem (Palo Alto Calif). 2021 Jul 27;14(1):323-345. doi: 10.1146/annurev-anchem-091420-092323.
Other Identifiers
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SERS-2024
Identifier Type: -
Identifier Source: org_study_id
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