Diabetic Kidney DiseaseNCT05047471
To Improve the Ability of Early Screening and Diagnosis in Patients With Diabetic Nephropathy
An observational study of Diabetic Kidney Disease, run by Yiming Mu at 50 sites in China.
Trial summary
This is a large-scale, multi-center, observational study. It is planned to establish a large database of 10,000 patients with type 2 diabetes mellitus to investigate the prevalence, awareness and screening rates of diabetes kidney disease (DKD), and provide real-world data on the efficacy and safety of sodium glucose… Read more about this study
- Who is it for?
- Ages 18 years and older
- Conditions the study is for
- Diabetic Kidney Disease
- How many people
- 10,000 participants
- Where
- 50 sitesChina
- Study dates
- 25 Dec 2021to Jun 2023
- Phase
- Observational
- Are there results?
- None posted in the registry
Key requirements
Who can take part, as listed by the sponsor. Only the study team can confirm whether you are eligible, so take this list to your doctor.
- Ages 18 years and older
- All sexes
- No healthy volunteers
- Adult, Older adult
Study population: Continuous screening of type 2 diabetic patients from the endocrinology outpatients of 50 hospitals across the country
Who may be able to join
- It is known that patients with T2DM has a history of more than 12 months (the WHO1999 Standard) and is treated with at least one anti-diabetic agent.
- Gender and age: men and women who are at least 18 years old with informed consent.
- Patients are willing and able to provide written informed consent before participating in this study.
Who cannot join
- Type 1 diabetes mellitus (DM)
- Patients with severe ketosis, diabetic coma, severe infection or severe trauma
- Perioperative patients
- Patients with severe renal impairment and advanced nephropathy (eGFR < 45 ml/min/1.73m2)
- Renal transplant patients
- Patients are participating in or have participated in any other clinical trials in the past 3 months
Show all 9Show fewer
- Any disease with a life expectancy of less than 2 years according to the clinical judgment of the investigator
- Pregnant or lactating women
- Patients judged by the investigator to be unsuitable for participating in the study.
Trial locations and contacts
50 sites in 1 country.
50 sites in 1 country
China50 sites
Airport Area of Peking University Third Hospital
Beijing
Beijing Haidian Hospital
Beijing
Beijing Luhe Hospital, Capital Medical University
Beijing
Peking University Third Hospital Yanqing Hospital
Beijing
Peking University Third Hospital
Beijing
Strategic Support Force Specialty Medical Center
Beijing
The 3th Medical Center of Chinese PLA General Hospital
Beijing
The 4th Medical Center of Chinese PLA General Hospital
Beijing
The 5th Medical Center of Chinese PLA General Hospital
Beijing
The 6th Medical Center of Chinese PLA General Hospital
Beijing
The 7th Medical Center of Chinese PLA General Hospital
Beijing
The 8th Medical Center of Chinese PLA General Hospital
Beijing
The First Medical Center of Chinese PLA General Hospital
Beijing
Guangdong Provincial People's Hospital
Guangzhou
Guangzhou First People's Hospital
Guangzhou
Guangzhou Red Cross Hospital
Guangzhou
Nanfang Hospital, Southern Medical University
Guangzhou
Sun Yat-sen Memorial Hospital, Sun Yat-sen University
Guangzhou
Guiyang First People's Hospital
Guiyang
Guiyang Second People's Hospital
Guiyang
The Affiliated Hospital of Guizhou Medical University
Guiyang
The Second Affiliated Hospital of Guizhou Medical University
Guiyang
The First Affiliated Hospital of Anhui Medical University
Hefei
NanjingNanjing Drum Tower Hospital( the Affiliated Hospital of Nanjing University Medical School)
Nanjin
Nanjing First Hospital
Nanjing
Nantong First People's Hospital
Nantong
Qingdao Eighth People's Hospital
Qingdao
Qingdao Third People's Hospital
Qingdao
The Affiliated Hospital of Qingdao University
Qingdao
People's Hospital of Rizhao
Rizhao
Qingpu Branch of Zhongshan Hospital affiliated to Fudan University
Shanghai
Shanghai Minhang District Central Hospital
Shanghai
Shanghai Xuhui District Central Hospital
Shanghai
Wusong Hospital, Zhongshan Hospital affiliated to Fudan University
Shanghai
Zhongshan Hospital affiliated to Fudan University
Shanghai
Second Affiliated Hospital of Soochow University
Suzhou
The First Affiliated Hospital of Soochow University
Suzhou
Taizhou Second People's Hospita
Taizhou
Weihai Municipal Hospital
Weihai
Renmin Hospital of Wuhan University
Wuhan
The Central Hospital of Wuhan
Wuhan
Tongji Hospital, Tongji Medical College Of HUST
Wuhan
Wuhan No. 1 Hospital
Wuhan
Wuhan No. 3 Hospital
Wuhan
Wuhan No. 4 Hospital
Wuhan
The Affiliated Hospital of Xuzhou Medical University
Xuzhou
Yixing People's Hospital
Yixing
Zhenjiang First People's Hospital
Zhenjiang
The Affiliated Hospital of Zunyi Medical University
Zunyi
Zunyi First People's Hospital
Zunyi
About this study
Official title: Healthy China - The Improvement Projects for the Screening Ability of Diabetes and Its Complications And for the Standardized Ability of Diagnosis and Treatment for Patients With Early Diabetic Nephropathy
This is a large-scale, multi-center, observational study. It is planned to establish a large database of 10,000 patients with type 2 diabetes mellitus to investigate the prevalence, awareness and screening rates of diabetes kidney disease (DKD), and provide real-world data on the efficacy and safety of sodium glucose cotransporter 2 inhibitors (SGLT2i) in patients with type 2 diabetes mellitus (T2DM).
Read the detailed description
Among the various complications of diabetes mellitus, DKD is considered as a major threat and is one of the manifestations of diabetic microangiopathy. it is one of the main causes of death for patients with T2DM.
Albuminuria is the earliest manifestation of DKD, which is mostly asymptomatic at the early stage, if the albuminuria is poorly controlled, it may develop into clinical DKD. Therefore, it is very important to improve the patients' awareness of DKD, regularly screen early kidney diseases and use drugs rationally.
In order to promote the standardization of diagnosis and treatment of patients with DKD, improve the knowledge and screening rate of patients with DKD, help the formation of health literacy, healthy behavior and lifestyle, the investigators planned the study.
STUDY OBJECTIVES:
- To understand the epidemiological disease burden of DKD in China, and to investigate the prevalence rate, awareness rate and screening rate of DKD;
- To understand the treatment status of patients with DKD in China;
- To provide real-world data on the efficacy and safety of SGLT2i in the treatment of DKD in China;
- Conditions
- Diabetic Kidney Disease
- Keywords
- SGLT2 inhibitors, Diabetic Kidney Disease, Albuminuria
- Medical subject headings
- Diabetic Nephropathies, Albuminuria
What is being measured
The primary outcome is the main question the study is designed to answer.
Prevalence of DKD
Prevalence of DKD (UACR > 30 mg/g); The prevalence of microalbuminuria (30 mg/g ≤ UACR ≤ 300 mg/g); The prevalence of massive proteinuria (UACR > 300 mg/g).
Measured: at the time of screening
Awareness rate
Awareness rate=(The number of people who know their abnormal albuminuria)/(The number of people with diabetes mellitus complicated with albuminuria)
Measured: at the time of screening
Screening rate
Screening rate=(The number of people @who have checked urine protein within one year)/(The number of people involved in total diabetes)
Measured: at the time of screening
Prescription proportion of various anti-diabetic drugs for patients with DKD
Prescription ratio of a certain hypoglycemic agent =(The number of people using a certain hypoglycemic agent)/(Total number of DKD)
Measured: at the time of screening
risk factors of albuminuria: medication categories
Assess whether taking different categories of medications is a risk factor for albuminuria
Measured: at the time of screening
risk factors of albuminuria: Course of disease
It is defined as the years of diagnosis of diabetes. According to the "Date of Diagnosis" in the questionnaire collected during the screening, the course years of diabetes patients are divided into quartiles for evaluation
Measured: at the time of screening
risk factors of albuminuria: Age
According to the "date of birth" in the questionnaire collected during the screening, the age of diabetic patients is divided into quartiles for evaluation
Measured: at the time of screening
risk factors of albuminuria: Current smoking
According to the "Current smoking" in the questionnaire collected during the screening to evaluate whether smoking is the risk of albuminuria
Measured: at the time of screening
risk factors of albuminuria: gender
According to the "gender" in the questionnaire collected during the screening to evaluate whether gender is the risk of albuminuria
Measured: at the time of screening
risk factors of albuminuria: Drinking
According to the " Drinking " in the questionnaire collected during the screening to evaluate whether Drinking is the risk of albuminuria
Measured: at the time of screening
risk factors of albuminuria: Glycosylated hemoglobin
Baseline glycosylated hemoglobin is divided into quartiles for evaluation
Measured: at baseline
risk factors of albuminuria: Hypertension
It is defined as the adults' systolic blood pressure which is greater than or equal to 140mmHg and/or diastolic blood pressure which is greater than or equal to 90mmHg. "hypertension" and "non-hypertension" for evaluation
Measured: at baseline
risk factors of albuminuria: Increase in Low density lipoprotein cholesterol (LDL-C)
It is defined as more than 3.37mmol/L, "elevated" and "normal" for evaluation
Measured: at baseline
Secondary outcomes (2)
MD of the change of UACR
the mean difference of the change of UACR from baseline between SGLT2i and non-SGLT2i group
Measured: at 6 months
OR of the incidence of the adverse events
the odds ratio of the incidence of the adverse events of interest during the 6-month observation period between SGLT2i and non-SGLT2i group
Measured: at 6 months
Timeline
From the start of the study to its completion; the mark is today. Estimated dates are the sponsor’s plan.
- First posted17 Sep 2021
- Study start25 Dec 2021
- Primary completionMay 2023 (estimated)
- Study completionJun 2023 (estimated)
Resources
- Official record on ClinicalTrials.govThe registry entry this page is built from, with its full change history.
- Publications (15)Papers the sponsor has linked to this study.
- Other trials for Diabetic Kidney DiseaseStudies of the same condition, open and under way.
- What the trial phases meanHow a treatment moves from first tests in people to approval.
More details
For doctors and researchers: how the study is designed, who runs it, and its registry IDs.
Study design
- Study type
- Observational
- Observational model
- Cohort
- Time perspective
- Prospective
- Enrolment
- 10,000 participants (estimated)
Sponsor and investigators
- Lead sponsor
- Yiming Mu
- Sponsor type
- University, hospital or other
- Responsible party
- Sponsor-investigator, Yiming Mu, Beijing Great Physician Commonweal Foundation
- Investigators
- Yimin Mu, MD, Principal investigator, The First Medical Center of Chinese PLA General Hospital
IDs, dates and publications
- ClinicalTrials.gov ID
- NCT05047471
- Sponsor's protocol ID
- 2021BY01
- Status last verified
- May 2022
- First submitted
- 3 Sep 2021
- Last updated
- 27 May 2022
- Results posted
- No
- FDA-regulated drug
- No
- FDA-regulated device
- No
- Individual data sharing
- Yes: De-identified individual participant level data and measurements including tables, figures, and appendices or supplementary material that support the results presented in a manuscript will be shared 6 months after publication.
Publications
Wen CP, Chang CH, Tsai MK, Lee JH, Lu PJ, Tsai SP, Wen C, Chen CH, Kao CW, Tsao CK, Wu X. Diabetes with early kidney involvement may shorten life expectancy by 16 years. Kidney Int. 2017 Aug;92(2):388-396. doi: 10.1016/j.kint.2017.01.030. Epub 2017 Jun 1.
PubMed 28577854Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, Broedl UC, Inzucchi SE; EMPA-REG OUTCOME Investigators. Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes. N Engl J Med. 2015 Nov 26;373(22):2117-28. doi: 10.1056/NEJMoa1504720. Epub 2015 Sep 17.
PubMed 26378978Neal B, Perkovic V, Mahaffey KW, de Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews DR; CANVAS Program Collaborative Group. Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes. N Engl J Med. 2017 Aug 17;377(7):644-657. doi: 10.1056/NEJMoa1611925. Epub 2017 Jun 12.
PubMed 28605608Wiviott SD, Raz I, Bonaca MP, Mosenzon O, Kato ET, Cahn A, Silverman MG, Zelniker TA, Kuder JF, Murphy SA, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, Ruff CT, Gause-Nilsson IAM, Fredriksson M, Johansson PA, Langkilde AM, Sabatine MS; DECLARE-TIMI 58 Investigators. Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes. N Engl J Med. 2019 Jan 24;380(4):347-357. doi: 10.1056/NEJMoa1812389. Epub 2018 Nov 10.
PubMed 30415602Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJL, Charytan DM, Edwards R, Agarwal R, Bakris G, Bull S, Cannon CP, Capuano G, Chu PL, de Zeeuw D, Greene T, Levin A, Pollock C, Wheeler DC, Yavin Y, Zhang H, Zinman B, Meininger G, Brenner BM, Mahaffey KW; CREDENCE Trial Investigators. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N Engl J Med. 2019 Jun 13;380(24):2295-2306. doi: 10.1056/NEJMoa1811744. Epub 2019 Apr 14.
PubMed 30990260Cannon CP, Pratley R, Dagogo-Jack S, Mancuso J, Huyck S, Masiukiewicz U, Charbonnel B, Frederich R, Gallo S, Cosentino F, Shih WJ, Gantz I, Terra SG, Cherney DZI, McGuire DK; VERTIS CV Investigators. Cardiovascular Outcomes with Ertugliflozin in Type 2 Diabetes. N Engl J Med. 2020 Oct 8;383(15):1425-1435. doi: 10.1056/NEJMoa2004967. Epub 2020 Sep 23.
PubMed 32966714McMurray JJV, Solomon SD, Inzucchi SE, Kober L, Kosiborod MN, Martinez FA, Ponikowski P, Sabatine MS, Anand IS, Belohlavek J, Bohm M, Chiang CE, Chopra VK, de Boer RA, Desai AS, Diez M, Drozdz J, Dukat A, Ge J, Howlett JG, Katova T, Kitakaze M, Ljungman CEA, Merkely B, Nicolau JC, O'Meara E, Petrie MC, Vinh PN, Schou M, Tereshchenko S, Verma S, Held C, DeMets DL, Docherty KF, Jhund PS, Bengtsson O, Sjostrand M, Langkilde AM; DAPA-HF Trial Committees and Investigators. Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction. N Engl J Med. 2019 Nov 21;381(21):1995-2008. doi: 10.1056/NEJMoa1911303. Epub 2019 Sep 19.
PubMed 31535829Bailey CJ, Gross JL, Hennicken D, Iqbal N, Mansfield TA, List JF. Dapagliflozin add-on to metformin in type 2 diabetes inadequately controlled with metformin: a randomized, double-blind, placebo-controlled 102-week trial. BMC Med. 2013 Feb 20;11:43. doi: 10.1186/1741-7015-11-43.
PubMed 23425012Strojek K, Yoon KH, Hruba V, Elze M, Langkilde AM, Parikh S. Effect of dapagliflozin in patients with type 2 diabetes who have inadequate glycaemic control with glimepiride: a randomized, 24-week, double-blind, placebo-controlled trial. Diabetes Obes Metab. 2011 Oct;13(10):928-38. doi: 10.1111/j.1463-1326.2011.01434.x.
PubMed 21672123Guo K, Zhang L, Zhao F, Lu J, Pan P, Yu H, Bao Y, Chen H, Jia W. Prevalence of chronic kidney disease and associated factors in Chinese individuals with type 2 diabetes: Cross-sectional study. J Diabetes Complications. 2016 Jul;30(5):803-10. doi: 10.1016/j.jdiacomp.2016.03.020. Epub 2016 Mar 17.
PubMed 27068269Shikata K, Kodera R, Utsunomiya K, Koya D, Nishimura R, Miyamoto S, Tajima N; JDCP study group. Prevalence of albuminuria and renal dysfunction, and related clinical factors in Japanese patients with diabetes: The Japan Diabetes Complication and its Prevention prospective study 5. J Diabetes Investig. 2020 Mar;11(2):325-332. doi: 10.1111/jdi.13116. Epub 2019 Sep 25.
PubMed 31317670Mok KY, Chan PF, Lai LKP, Chow KL, Chao DVK. Prevalence of diabetic nephropathy among Chinese patients with type 2 diabetes mellitus and different categories of their estimated glomerular filtration rate based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in primary care in Hong Kong: a cross-sectional study. J Diabetes Metab Disord. 2019 Nov 15;18(2):281-288. doi: 10.1007/s40200-018-00382-y. eCollection 2019 Dec.
PubMed 31890652Jitraknatee J, Ruengorn C, Nochaiwong S. Prevalence and Risk Factors of Chronic Kidney Disease among Type 2 Diabetes Patients: A Cross-Sectional Study in Primary Care Practice. Sci Rep. 2020 Apr 10;10(1):6205. doi: 10.1038/s41598-020-63443-4.
PubMed 32277150Pollock C, Stefansson B, Reyner D, Rossing P, Sjostrom CD, Wheeler DC, Langkilde AM, Heerspink HJL. Albuminuria-lowering effect of dapagliflozin alone and in combination with saxagliptin and effect of dapagliflozin and saxagliptin on glycaemic control in patients with type 2 diabetes and chronic kidney disease (DELIGHT): a randomised, double-blind, placebo-controlled trial. Lancet Diabetes Endocrinol. 2019 Jun;7(6):429-441. doi: 10.1016/S2213-8587(19)30086-5. Epub 2019 Apr 13.
PubMed 30992195Shi L, Xue Y, Yu X, Wang Y, Hong T, Li X, Ma J, Zhu D, Mu Y. Prevalence and Risk Factors of Chronic Kidney Disease in Patients With Type 2 Diabetes in China: Cross-Sectional Study. JMIR Public Health Surveill. 2024 Aug 30;10:e54429. doi: 10.2196/54429.
PubMed 39213031
Study at a glance
From the registry record, last updated by the sponsor on 27 May 2022. Recruitment status is as the sponsor reported it: confirm with the study team.
- Official title
- Healthy China - The Improvement Projects for the Screening Ability of Diabetes and Its Complications And for the Standardized Ability of Diagnosis and Treatment for Patients With Early Diabetic Nephropathy
- ClinicalTrials.gov ID
- NCT05047471
- Acronym / sponsor ID
- 2021BY01
- Conditions
- Diabetic Kidney Disease
- Keywords
- SGLT2 inhibitors, Diabetic Kidney Disease, Albuminuria
- Study type
- Observational
- Recruitment status
- Unknown status
- Enrolment
- 10,000 participants (estimated)
- Lead sponsor
- Yiming MuUniversity, hospital or other
- Study start
- 25 Dec 2021 (actual)
- Primary completion
- May 2023 (estimated)
- Study completion
- Jun 2023 (estimated)
- First posted
- 17 Sep 2021 (actual)
- Results
- Not posted in the source record
Clinical summary
The research question as the sponsor registered it. This describes what the study plans to test, not what it found.
This is a large-scale, multi-center, observational study. It is planned to establish a large database of 10,000 patients with type 2 diabetes mellitus to investigate the prevalence, awareness and screening rates of diabetes kidney disease (DKD), and provide real-world data on the efficacy and safety of sodium glucose cotransporter 2 inhibitors (SGLT2i) in patients with type 2 diabetes mellitus (T2DM).
Detailed description
Among the various complications of diabetes mellitus, DKD is considered as a major threat and is one of the manifestations of diabetic microangiopathy. it is one of the main causes of death for patients with T2DM.
Albuminuria is the earliest manifestation of DKD, which is mostly asymptomatic at the early stage, if the albuminuria is poorly controlled, it may develop into clinical DKD. Therefore, it is very important to improve the patients' awareness of DKD, regularly screen early kidney diseases and use drugs rationally.
In order to promote the standardization of diagnosis and treatment of patients with DKD, improve the knowledge and screening rate of patients with DKD, help the formation of health literacy, healthy behavior and lifestyle, the investigators planned the study.
STUDY OBJECTIVES:
- To understand the epidemiological disease burden of DKD in China, and to investigate the prevalence rate, awareness rate and screening rate of DKD;
- To understand the treatment status of patients with DKD in China;
- To provide real-world data on the efficacy and safety of SGLT2i in the treatment of DKD in China;
Study design
- Observational model
- Cohort
- Time perspective
- Prospective
Who may qualify
- Ages
- 18 years and older
- Sex
- All
- Healthy volunteers
- Not accepted
- Age groups
- Adult, Older adult
- Study population
- Continuous screening of type 2 diabetic patients from the endocrinology outpatients of 50 hospitals across the country
Key inclusion criteria (3 listed)
- It is known that patients with T2DM has a history of more than 12 months (the WHO1999 Standard) and is treated with at least one anti-diabetic agent.
- Gender and age: men and women who are at least 18 years old with informed consent.
- Patients are willing and able to provide written informed consent before participating in this study.
Key exclusion criteria (9 listed)
- Type 1 diabetes mellitus (DM)
- Patients with severe ketosis, diabetic coma, severe infection or severe trauma
- Perioperative patients
- Patients with severe renal impairment and advanced nephropathy (eGFR < 45 ml/min/1.73m2)
- Renal transplant patients
Eligibility is decided by the study team after screening; this overview does not establish that a patient qualifies. Full inclusion and exclusion criteria.
Primary outcome
Prevalence of DKD
Time frame: at the time of screening
Prevalence of DKD (UACR > 30 mg/g); The prevalence of microalbuminuria (30 mg/g ≤ UACR ≤ 300 mg/g); The prevalence of massive proteinuria (UACR > 300 mg/g).
Awareness rate
Time frame: at the time of screening
Awareness rate=(The number of people who know their abnormal albuminuria)/(The number of people with diabetes mellitus complicated with albuminuria)
Screening rate
Time frame: at the time of screening
Screening rate=(The number of people @who have checked urine protein within one year)/(The number of people involved in total diabetes)
Prescription proportion of various anti-diabetic drugs for patients with DKD
Time frame: at the time of screening
Prescription ratio of a certain hypoglycemic agent =(The number of people using a certain hypoglycemic agent)/(Total number of DKD)
risk factors of albuminuria: medication categories
Time frame: at the time of screening
Assess whether taking different categories of medications is a risk factor for albuminuria
risk factors of albuminuria: Course of disease
Time frame: at the time of screening
It is defined as the years of diagnosis of diabetes. According to the "Date of Diagnosis" in the questionnaire collected during the screening, the course years of diabetes patients are divided into quartiles for evaluation
risk factors of albuminuria: Age
Time frame: at the time of screening
According to the "date of birth" in the questionnaire collected during the screening, the age of diabetic patients is divided into quartiles for evaluation
risk factors of albuminuria: Current smoking
Time frame: at the time of screening
According to the "Current smoking" in the questionnaire collected during the screening to evaluate whether smoking is the risk of albuminuria
risk factors of albuminuria: gender
Time frame: at the time of screening
According to the "gender" in the questionnaire collected during the screening to evaluate whether gender is the risk of albuminuria
risk factors of albuminuria: Drinking
Time frame: at the time of screening
According to the " Drinking " in the questionnaire collected during the screening to evaluate whether Drinking is the risk of albuminuria
risk factors of albuminuria: Glycosylated hemoglobin
Time frame: at baseline
Baseline glycosylated hemoglobin is divided into quartiles for evaluation
risk factors of albuminuria: Hypertension
Time frame: at baseline
It is defined as the adults' systolic blood pressure which is greater than or equal to 140mmHg and/or diastolic blood pressure which is greater than or equal to 90mmHg. "hypertension" and "non-hypertension" for evaluation
risk factors of albuminuria: Increase in Low density lipoprotein cholesterol (LDL-C)
Time frame: at baseline
It is defined as more than 3.37mmol/L, "elevated" and "normal" for evaluation
2 secondary outcomes
MD of the change of UACR
Time frame: at 6 months
OR of the incidence of the adverse events
Time frame: at 6 months
Results and safety
Results are not available in the source record.
Research links
- Official record on ClinicalTrials.govLast updated by the sponsor 27 May 2022.
- Background: PubMed 28577854Wen CP, Chang CH, Tsai MK, Lee JH, Lu PJ, Tsai SP, Wen C, Chen CH, Kao CW, Tsao CK, Wu X. Diabetes with early kidney involvement may shorten life expectancy by 16 years. Kidney Int. 2017 Aug;92(2):388-396. doi: 10.1016/j.kint.2017.01.030. Epub 2017 Jun 1.
- Background: PubMed 26378978Zinman B, Wanner C, Lachin JM, Fitchett D, Bluhmki E, Hantel S, Mattheus M, Devins T, Johansen OE, Woerle HJ, Broedl UC, Inzucchi SE; EMPA-REG OUTCOME Investigators. Empagliflozin, Cardiovascular Outcomes, and Mortality in Type 2 Diabetes. N Engl J Med. 2015 Nov 26;373(22):2117-28. doi: 10.1056/NEJMoa1504720. Epub 2015 Sep 17.
- Background: PubMed 28605608Neal B, Perkovic V, Mahaffey KW, de Zeeuw D, Fulcher G, Erondu N, Shaw W, Law G, Desai M, Matthews DR; CANVAS Program Collaborative Group. Canagliflozin and Cardiovascular and Renal Events in Type 2 Diabetes. N Engl J Med. 2017 Aug 17;377(7):644-657. doi: 10.1056/NEJMoa1611925. Epub 2017 Jun 12.
- Background: PubMed 30415602Wiviott SD, Raz I, Bonaca MP, Mosenzon O, Kato ET, Cahn A, Silverman MG, Zelniker TA, Kuder JF, Murphy SA, Bhatt DL, Leiter LA, McGuire DK, Wilding JPH, Ruff CT, Gause-Nilsson IAM, Fredriksson M, Johansson PA, Langkilde AM, Sabatine MS; DECLARE-TIMI 58 Investigators. Dapagliflozin and Cardiovascular Outcomes in Type 2 Diabetes. N Engl J Med. 2019 Jan 24;380(4):347-357. doi: 10.1056/NEJMoa1812389. Epub 2018 Nov 10.
- Background: PubMed 30990260Perkovic V, Jardine MJ, Neal B, Bompoint S, Heerspink HJL, Charytan DM, Edwards R, Agarwal R, Bakris G, Bull S, Cannon CP, Capuano G, Chu PL, de Zeeuw D, Greene T, Levin A, Pollock C, Wheeler DC, Yavin Y, Zhang H, Zinman B, Meininger G, Brenner BM, Mahaffey KW; CREDENCE Trial Investigators. Canagliflozin and Renal Outcomes in Type 2 Diabetes and Nephropathy. N Engl J Med. 2019 Jun 13;380(24):2295-2306. doi: 10.1056/NEJMoa1811744. Epub 2019 Apr 14.
- Background: PubMed 32966714Cannon CP, Pratley R, Dagogo-Jack S, Mancuso J, Huyck S, Masiukiewicz U, Charbonnel B, Frederich R, Gallo S, Cosentino F, Shih WJ, Gantz I, Terra SG, Cherney DZI, McGuire DK; VERTIS CV Investigators. Cardiovascular Outcomes with Ertugliflozin in Type 2 Diabetes. N Engl J Med. 2020 Oct 8;383(15):1425-1435. doi: 10.1056/NEJMoa2004967. Epub 2020 Sep 23.
- Background: PubMed 31535829McMurray JJV, Solomon SD, Inzucchi SE, Kober L, Kosiborod MN, Martinez FA, Ponikowski P, Sabatine MS, Anand IS, Belohlavek J, Bohm M, Chiang CE, Chopra VK, de Boer RA, Desai AS, Diez M, Drozdz J, Dukat A, Ge J, Howlett JG, Katova T, Kitakaze M, Ljungman CEA, Merkely B, Nicolau JC, O'Meara E, Petrie MC, Vinh PN, Schou M, Tereshchenko S, Verma S, Held C, DeMets DL, Docherty KF, Jhund PS, Bengtsson O, Sjostrand M, Langkilde AM; DAPA-HF Trial Committees and Investigators. Dapagliflozin in Patients with Heart Failure and Reduced Ejection Fraction. N Engl J Med. 2019 Nov 21;381(21):1995-2008. doi: 10.1056/NEJMoa1911303. Epub 2019 Sep 19.
- Background: PubMed 23425012Bailey CJ, Gross JL, Hennicken D, Iqbal N, Mansfield TA, List JF. Dapagliflozin add-on to metformin in type 2 diabetes inadequately controlled with metformin: a randomized, double-blind, placebo-controlled 102-week trial. BMC Med. 2013 Feb 20;11:43. doi: 10.1186/1741-7015-11-43.
- Background: PubMed 21672123Strojek K, Yoon KH, Hruba V, Elze M, Langkilde AM, Parikh S. Effect of dapagliflozin in patients with type 2 diabetes who have inadequate glycaemic control with glimepiride: a randomized, 24-week, double-blind, placebo-controlled trial. Diabetes Obes Metab. 2011 Oct;13(10):928-38. doi: 10.1111/j.1463-1326.2011.01434.x.
- Background: PubMed 27068269Guo K, Zhang L, Zhao F, Lu J, Pan P, Yu H, Bao Y, Chen H, Jia W. Prevalence of chronic kidney disease and associated factors in Chinese individuals with type 2 diabetes: Cross-sectional study. J Diabetes Complications. 2016 Jul;30(5):803-10. doi: 10.1016/j.jdiacomp.2016.03.020. Epub 2016 Mar 17.
- Background: PubMed 31317670Shikata K, Kodera R, Utsunomiya K, Koya D, Nishimura R, Miyamoto S, Tajima N; JDCP study group. Prevalence of albuminuria and renal dysfunction, and related clinical factors in Japanese patients with diabetes: The Japan Diabetes Complication and its Prevention prospective study 5. J Diabetes Investig. 2020 Mar;11(2):325-332. doi: 10.1111/jdi.13116. Epub 2019 Sep 25.
- Background: PubMed 31890652Mok KY, Chan PF, Lai LKP, Chow KL, Chao DVK. Prevalence of diabetic nephropathy among Chinese patients with type 2 diabetes mellitus and different categories of their estimated glomerular filtration rate based on the Chronic Kidney Disease Epidemiology Collaboration (CKD-EPI) equation in primary care in Hong Kong: a cross-sectional study. J Diabetes Metab Disord. 2019 Nov 15;18(2):281-288. doi: 10.1007/s40200-018-00382-y. eCollection 2019 Dec.
- Guideline for the prevention and treatment of type 2 diabetes mellitus in China (2020 edition)Link provided by the sponsor.
- Individual participant dataSharing planned: Yes. De-identified individual participant level data and measurements including tables, figures, and appendices or supplementary material that support the results presented in a manuscript will be shared 6 months after publication.
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Referral and contact
AzTrials does not enrol participants or take referrals. Contact the study team or a site listed below; they decide who can take part. This study is not recruiting at the moment.
Yimin Mu, MD principal investigator
The First Medical Center of Chinese PLA General Hospital
50 sites in 1 country: see every site and its status.
Questions about this trial
What is this clinical trial studying?
An observational study of Diabetic Kidney Disease, run by Yiming Mu at 50 sites in China.
The full registered description is in the About this study section and the official record.
Who may be eligible to take part?
The sponsor lists 3 inclusion and 9 exclusion criteria. Eligibility is decided by the study team after screening, so read the full criteria and contact a listed site.
Is this clinical trial currently recruiting?
The record says: status not confirmed, as of the sponsor's last update on 27 May 2022. Status can change between updates, so confirm with the study contact before making plans.
Where is the study taking place?
The record lists 50 sites in China. Whether a site is taking part right now should be confirmed with that site. See every site.
What are the possible benefits and risks?
They depend on the study and the treatment, and no study can promise a benefit. The study team explains the known risks during informed consent, before anyone joins; the record itself does not list them.
Are results available for this study?
Results are not available in the source record.
How can a doctor refer a patient or contact the research team?
The record lists no contact. The official record names the sponsor, who can be asked directly. AzTrials does not enrol participants or take referrals.
What does the primary outcome measure?
Prevalence of DKD (time frame: at the time of screening). The study lists 13 primary outcomes in all. It is what the study was designed to measure, not a finding.
Where can I read the original study information?
On the ClinicalTrials.gov record for NCT05047471, which also lists 15 linked publications.
Does a listing mean the treatment is approved or proven to work?
No. A listing means the study is registered. It does not show that the treatment is safe, works, or is approved by a regulator.
How often is this information updated?
AzTrials copies changed records from ClinicalTrials.gov every night and reloads the whole registry every week. The sponsor last updated this record on 27 May 2022.