An observational study in Kidney Diseases, Chronic, Glomerular Diseases and Tubulointerstitial Kidney Diseases, sponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology. Active, not recruiting at 1 site in China. Per ClinicalTrials.gov, last updated 2026-09-14.
Sponsored by Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Observational
Among 245 studies in Renal Insufficiency, Chronic with a site in China — 94 open to participants now, 107 under way, 17 of them phase 3. Renal Insufficiency, Chronic · China.
Among the 245 studies in Renal Insufficiency, Chronic with a site in China, this one is the 18th largest by enrollment of the 80 observational ones that give a count, is one of 10 that started in 2019, is one of 80 observational ones, reaches primary completion later than 28 of the 106 other live ones, and was the 242nd registered.
3,094 studies on the registry are indexed under Renal Insufficiency, Chronic; 701 are open to participants now.
Browse Renal Insufficiency, Chronic studies →94 of the 245 studies in Renal Insufficiency, Chronic with a site in China are open now. Recruiting first, the newest first:
Novo Nordisk A/S · Sites in China
Ages 18+
Atom Therapeutics Co., Ltd · Sites in China, Australia
Ages 18–75
AstraZeneca · Sites in China, United States, Argentina and 24 more countries
Ages 18–99
AstraZeneca · Sites in China, United States, Argentina and 34 more countries
Ages 18+
Novartis Pharmaceuticals · Sites in China, United States, Colombia and 5 more countries
Ages 2–18
A study can be open while its sites in China have not opened yet or have stopped. Only those recruiting at a site in China →
Of the 434 Renal Insufficiency, Chronic studies recruiting now, 244 (56%) set no upper age limit and 111 (26%) stop at 75 or younger; 45 take children under 18; 80 take healthy volunteers.
This study: all sexes.
The full table on the hub →This tab as a report to print or save as PDF → With an account.
245 studies; the count open now beside each. This study's row is marked.
A study in two phases is counted once above. Listed by phase, each with its combined phases: Phase 1 22 · Phase 2 24 · Phase 3 39 · Phase 4 38
First in 2000; this study’s year is marked. 10 started in 2019.
By drug class, each counting the studies that test any of its medicines:
This study's enrollment of 8,000 is above the median of 213 across 834 observational studies indexed under Renal Insufficiency, Chronic.
Median enrollment 182 across the 164 interventional studies, 1,350 across the 80 observational. Of the 84 that completed or were terminated, 21 (25%) have results posted.
This tab as a report to print or save as PDF → With an account.
87 of 245 have an industry lead sponsor. The 10 most frequent:
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology is the lead sponsor of 182 studies on the registry; 145 are open to participants now.
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology has 1 study filed under Renal Insufficiency, Chronic — fewer than ten, so there is no comparison to draw.
22 of the studies in Renal Insufficiency, Chronic with a site in China that are under way reach primary completion within a year, 3 of them phase 3. Phase 3 first, then by date:
| Study | Primary completion |
|---|---|
| NCT07122401Phase 3Shaanxi Micot Pharmaceutical Technology Co., Ltd.Study of MT1013 for the Treatment of Patients With Secondary Hyperparathyroidism | 2026-11-26 |
| NCT06531824Phase 3Boehringer IngelheimEASi-KIDNEY™ (The Studies of Heart & Kidney Protection With BI 690517 in Combination With Empagliflozin) | 2026-12-31 |
| NCT05852938Phase 3Novartis PharmaceuticalsA Study of Zigakibart in Adults With IgA Nephropathy | 2027-08-10 |
| NCT05349955Shanghai Zhongshan HospitalEffects and Safety of Diabetic GUideline Algorithm Implementation Performed by Primary Care Physicians in the Community | 2026-11-30 |
| NCT07262333Beijing Continent Pharmaceutical Co, Ltd.A Trial of Hydroxynidone Capsules in Single-dose Administration for Patients With Renal Insufficiency | 2026-12-01 |
Add all 22 to your calendar (.ics) → With an account.
Among the 245 studies in Renal Insufficiency, Chronic with a site in China, from their registry updates:
This tab as a report to print or save as PDF → With an account.
This single-center retrospective observational cohort study will utilize digital renal pathology images along with corresponding clinical and laboratory data from patients who underwent kidney biopsy at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, between January 1, 2019, and March 31, 2026. Deep learning and image analysis techniques will be employed to develop and validate models for the pathological diagnosis and classification of kidney diseases. The study will also assess model performance in evaluating disease activity and chronicity, as well as investigate the association between image-derived features and long-term renal outcomes. Diagnoses will be established by consensus among three senior renal pathologists, who will serve as the reference standard. A minimum of 8,000 eligible cases are planned for inclusion, which will be divided into training, validation, and independent test sets.
The study population will comprise patients who underwent native kidney biopsy at Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, between January 1, 2019, and March 31, 2026. Eligible cases will be retrospectively identified from the hospital's electronic medical record and pathology image systems. Patients with biopsy-confirmed kidney diseases and available digital renal pathology images and corresponding clinical and laboratory data will be included for model development and validation. Kidney allograft biopsy cases will not be included.
Go through the criteria one by one — yes, no or not sure — and take the list to your doctor or the study team. Kept in this browser only.
Exclusion Criteria:
Underlined terms in the criteria open these too. Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.
Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.
Biopsy and archival tissue
A biopsy takes a small piece of tissue to examine. “Archival tissue” is a sample already taken, for example at diagnosis, and kept by the hospital.
Whether a stored sample will do depends on when it was taken, how much there is and what the study needs. Ask whether the study accepts your stored sample or needs a new biopsy.
Explained by clinicaltrials.gg, not part of the registry record. The study team decides who can take part.
Diagnostic classification accuracy of the deep learning model, measured as the percentage of correctly classified renal pathology cases
Diagnostic classification accuracy will be assessed in the independent test set by comparing the renal disease classification predicted by the prespecified deep learning model with the consensus diagnosis established by three senior renal pathologists. Accuracy will be calculated as the number of correctly classified cases divided by the total number of evaluable cases and reported as a percentage (%). The measurement tool will be the prespecified deep learning model evaluated against the expert consensus reference standard.
Time frame: At completion of independent test-set evaluation using retrospective data collected from January 1, 2019, through March 31, 2026.
Agreement between deep learning model predictions and expert consensus diagnoses, measured by the Cohen kappa coefficient
Agreement between the renal disease classifications generated by the prespecified deep learning model and the consensus diagnoses established by three senior renal pathologists will be assessed using the Cohen kappa coefficient. The measurement tool will be a prespecified categorical agreement analysis comparing model-predicted classifications with the expert consensus reference standard. The Cohen kappa coefficient is a unitless measure, with higher values indicating greater agreement beyond chance.
Time frame: At completion of independent test-set evaluation using retrospective data collected from January 1, 2019, through March 31, 2026.
Ran from Jan 2019 to primary completion in Mar 2026, 86 months.
How these figures are worked out, and which studies are left out of them.
This study is active, not recruiting, as verified in Aug 2026. You cannot join it, but the record below documents what was studied.
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Renal Insufficiency, Chronic →
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology →