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| Name | Class |
|---|---|
| School of Chinese Medicine, The University of Hong Kong | UNKNOWN |
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This add-on open-label randomised controlled pragmatic trial aims to:
This add-on open-label randomised controlled pragmatic trial.
Sample size is calculated based on planned regression analysis. We believe an annual GFR benefit of 5 ml/min/1.73m2 is deemed significant clinically. 118 patients are therefore needed to offer a power of 70% to detect a GFR difference of 5 ml/min/1.73m2 over 48-week allowing 15% attrition rate for this study with a significance level of alpha equals to 0.05.
A trial management committee (TMC) formed by PA, Co-As and RA will centralise all the data of the trial. Co-As and RA will collect, clean and send the data of patients to TMC on a weekly basis. All data will be double entered to computer and cleaned before analysis to prevent data entry errors. All data transfer will be encrypted to protect patients' confidentiality. TMC will have regular meetings monthly with experts to discuss the progress of the trial. An independent Data Monitoring Board (DMB) will be invited to monitor the progress of the trial. DMB will advise ethics committee to terminate the trial if data is showing extreme benefits or harm. Detailed guidelines will be discussed and set by DMB.
Missing values will be imputed with last observation carried forward. Patient without a postrandomisation assessment for a particular efficacy endpoint will be excluded from the analysis of that endpoint.
Regression analysis will be used to compare the adjusted mean of eGFR, UACR, HbA1c, FBG, and other biomarkers at week 48 between groups and statistical significance. The adverse events will be analysed in a narrative manner. The percentage of all adverse events and the rate of attrition due to adverse events will be compared between intervention groups and control groups.
To minimise Type I error inflation, the analysis will follow a hierarchical approach in the order of 1) comparison of baseline to end of treatment on eGFR and UACR; 2) comparison of baseline to end of treatment on other outcome measurements; 3) comparison of baseline to treatment midpoints on eGFR and UACR and 4) comparison of baseline to treatment midpoints on other outcome measurements.
Subgroup analysis will be performed for different age groups, gender chronic kidney disease stage and severity of albuminuria.
The dependent variable is the treatment response which is categorised into:
Potential prognostic variables (baseline values) include:
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Standard medical care | Active Comparator | Angiotensin converting enzyme inhibitor or angiotensin receptor blocker and oral hypoglycemic agents or insulin |
|
| Add on astragalus powder | Experimental | 3 grams of water soluble astragalus sachets (equivalent to 15g raw herbs) administrated orally on top of standard medical care for 48 weeks. |
|
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Astragalus Powder | Drug | 3 grams of water soluble astragalus sachets (equivalent to 15g raw herbs) administrated orally on top of standard medical care for 48 weeks. Patients will have 5 days of medicine per week and will be advised to take the medicine once daily dissolved in boiling water in the first 5 days of the week. |
| Measure | Description | Time Frame |
|---|---|---|
| Change in estimated GFR | Efficacy and safety | From baseline to 48 weeks after treatment |
| Change in spot urine albumin-to-creatinine ratio | Efficacy and safety | From baseline to 48 weeks after treatment |
| Measure | Description | Time Frame |
|---|---|---|
| Change in glycated haemoglobin (HbA1c) | From baseline to 48 weeks after treatment | |
| Change in urinary monocyte chemotactic protein 1 (MCP-1) | From baseline to 48 weeks after treatment | |
| Measure | Description | Time Frame |
|---|---|---|
| Change in biomarkers related to inflammation and fibrosis | From baseline to 48 weeks after treatment |
Inclusion Criteria:
Exclusion Criteria:
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| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Sydney CW TANG, MD, PhD | Contact | +852 22553879 | scwtang@hku.hk | |
| Kam Wa CHAN, BCM, MCM, MSc.(PH) | Contact | +852 22553207 | chriskwcchan@hku.hk |
| Name | Affiliation | Role |
|---|---|---|
| Sydney CW TANG, MD, PhD | The University of Hong Kong | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Queen Mary Hospital | Recruiting | Hong Kong | Hong Kong |
| PubMed Identifier | Type | Citation | Retractions |
|---|---|---|---|
| 38810556 | Derived | Chan KW, Kwong ASK, Tsui PN, Chan GCW, Choi WF, Yiu WH, Cheung SCY, Wong MMY, Zhang ZJ, Tan KCB, Lao L, Lai KN, Tang SCW; READY and SCHEMATIC research group. Add-on astragalus in type 2 diabetes and chronic kidney disease: A multi-center, assessor-blind, randomized controlled trial. Phytomedicine. 2024 Jul 25;130:155457. doi: 10.1016/j.phymed.2024.155457. Epub 2024 Feb 28. | |
| 33436470 |
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| ID | Term |
|---|---|
| D003928 | Diabetic Nephropathies |
| ID | Term |
|---|---|
| D007674 | Kidney Diseases |
| D014570 | Urologic Diseases |
| D052776 | Female Urogenital Diseases |
| D005261 | Female Urogenital Diseases and Pregnancy Complications |
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| ID | Term |
|---|---|
| C027492 | Huang Qi |
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Assessment of primary outcomes is performed by an independent laboratory
|
| Routine medical care (active comparator) | Other | Angiotensin converting enzyme inhibitor or angiotensin receptor blocker |
|
| Change in urinary Cystatin C |
| From baseline to 48 weeks after treatment |
| Change in lipids | From baseline to 48 weeks after treatment |
| School of Chinese Medicine | Not yet recruiting | Hong Kong | Hong Kong |
|
| Derived |
| Chan KW, Kwong ASK, Tsui PN, Cheung SCY, Chan GCW, Choi WF, Yiu WH, Zhang Y, Wong MM, Zhang ZJ, Tan KCB, Lao L, Tang SCW. Efficacy, safety and response predictors of adjuvant astragalus for diabetic kidney disease (READY): study protocol of an add-on, assessor-blind, parallel, pragmatic randomised controlled trial. BMJ Open. 2021 Jan 12;11(1):e042686. doi: 10.1136/bmjopen-2020-042686. |
| D000091642 | Urogenital Diseases |
| D052801 | Male Urogenital Diseases |
| D048909 | Diabetes Complications |
| D003920 | Diabetes Mellitus |
| D004700 | Endocrine System Diseases |