Efficacy and Safety of Finerenone in Subjects With Type 2 Diabetes Mellitus and Diabetic Kidney Disease (FIDELIO-DKD)
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The safety and scientific validity of this study is the responsibility of the study sponsor and investigators. Listing a study does not mean it has been evaluated by the U.S. Federal Government. Read our disclaimer for details. |
ClinicalTrials.gov Identifier: NCT02540993 |
Recruitment Status :
Completed
First Posted : September 4, 2015
Results First Posted : July 19, 2021
Last Update Posted : July 19, 2021
|
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Condition or disease | Intervention/treatment | Phase |
---|---|---|
Chronic Kidney Disease | Drug: Finerenone (BAY94-8862) Drug: Placebo | Phase 3 |
Study Type : | Interventional (Clinical Trial) |
Actual Enrollment : | 5734 participants |
Allocation: | Randomized |
Intervention Model: | Parallel Assignment |
Masking: | Quadruple (Participant, Care Provider, Investigator, Outcomes Assessor) |
Primary Purpose: | Treatment |
Official Title: | A Randomized, Double-blind, Placebo-controlled, Parallel-group, Multicenter, Event-driven Phase 3 Study to Investigate the Safety and Efficacy of Finerenone, in Addition to Standard of Care, on the Progression of Kidney Disease in Subjects With Type 2 Diabetes Mellitus and the Clinical Diagnosis of Diabetic Kidney Disease |
Actual Study Start Date : | September 17, 2015 |
Actual Primary Completion Date : | April 14, 2020 |
Actual Study Completion Date : | April 14, 2020 |

Arm | Intervention/treatment |
---|---|
Experimental: Finerenone (BAY94-8862)
Participants received finerenone 10 mg or 20 mg once daily in addition to standard of care therapy
|
Drug: Finerenone (BAY94-8862)
Oral tablet; starting dose at 10 mg for subjects with an eGFR between 25 to < 60 mL/min/1.73m² at the Screening Visit; starting dose at 20 mg for subjects with an eGFR ≥ 60 mL/min/1.73m² at the Screening Visit; dose could be up-titrated from Month 1 onwards or down-titrated at any time during the study; once daily in the morning, until the trial was completed provided there were no safety grounds for discontinuing treatment |
Placebo Comparator: Placebo
Participants received matching placebo once daily in addition to standard of care therapy
|
Drug: Placebo
Matching placebo, oral tablet, once daily in the morning, until the trial was completed provided there were no safety grounds for discontinuing treatment |
- The First Occurrence of the Composite Endpoint of Onset of Kidney Failure, a Sustained Decrease of eGFR ≥40% From Baseline Over at Least 4 Weeks, or Renal Death [ Time Frame: From randomization up until the first occurrence of the primary renal composite endpoint, or censoring at the end of the study, with an average follow-up time of 32 months ]Count of participants and time from randomization to the first occurrence of the primary renal composite outcome, onset of kidney failure, a sustained decrease of eGFR ≥40% from baseline over at least 4 weeks, or renal death were evaluated. Number of participants with the outcome event is reported as descriptive result and hazard ratio is reported as statistical analysis.
- The First Occurrence of the Composite Endpoint of Cardiovascular Death, Non-fatal Myocardial Infarction, Non-fatal Stroke, or Hospitalization for Heart Failure [ Time Frame: From randomization up until the first occurrence of the key secondary CV composite endpoint, or censoring at the end of the study, with an average of 32 months ]Count of participants and time from randomization to the first occurrence of the key secondary cardiovascular (CV) composite outcome, CV death, non-fatal myocardial infarction (MI), non-fatal stroke, or hospitalization for heart failure were evaluated. Number of participants with the outcome event is reported as descriptive result and hazard ratio is reported as statistical analysis.
- All-cause Mortality [ Time Frame: From randomization up until death due to any cause, or censoring at the end of the study visit, with an average of 32 months ]Count of participants and time from randomization until death due to any cause were evaluated. Number of participants with outcome death is reported as descriptive result and hazard ratio is reported as statistical analysis. Number of participants with outcome death reported here includes deaths occurred after randomization until the end of the study visit. Deaths after end of study visit are not included in this table.
- All-cause Hospitalization [ Time Frame: From randomization up until the first occurrence of the hospitalization due to any cause, or censoring at the end of study, with an average of 32 months ]Count of participants and time from randomization to the first occurrence of a hospitalization event were evaluated. Number of participants with the event is reported as descriptive result and hazard ratio is reported as statistical analysis.
- Change in Urinary Albumin-to-creatinine Ratio (UACR) From Baseline to Month 4 [ Time Frame: From baseline up until Month 4 ]First morning void urine samples were collected to evaluate the urinary albumin-to-creatinine ratio (UACR). Month 4 was the visit closest to day 120 within a time window of 120 ± 30 days after randomization. If no measurements were available in this time window, the participant was excluded from this analysis. Ratio of UACR at Month 4 to UACR at baseline is reported as the change.
- The First Occurrence of the Composite Endpoint of Onset of Kidney Failure, a Sustained Decrease in eGFR of ≥57% From Baseline Over at Least 4 Weeks, or Renal Death [ Time Frame: From randomization up until the first occurrence of the composite primary endpoint, or censoring at the end of the study, with an average of 32 months ]Count of participants and time from randomization to the first occurrence of the secondary renal composite outcome, onset of kidney failure, a sustained decrease in eGFR of ≥57% from baseline over at least 4 weeks, or renal death were evaluated. Number of participants with the outcome event is reported as descriptive result and hazard ratio is reported as statistical analysis.

Choosing to participate in a study is an important personal decision. Talk with your doctor and family members or friends about deciding to join a study. To learn more about this study, you or your doctor may contact the study research staff using the contacts provided below. For general information, Learn About Clinical Studies.
Ages Eligible for Study: | 18 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | No |
Inclusion Criteria:
- Men or women ≥18 years of age
- Type 2 diabetes mellitus (T2D) as defined by the American Diabetes Association
-
Diagnosis of chronic kidney disease (CKD) with at least one of the following criteria at run-in and screening visits:
- persistent high albuminuria (UACR ≥30 to <300 mg/g in 2 out of 3 first morning void samples) and estimated glomerular filtration rate (eGFR) ≥25 but <60 mL/min/1.73 m² (CKD EPI) and presence of diabetic retinopathy or
- persistent very high albuminuria (UACR ≥300 mg/g in 2 out of 3 first morning void samples) and eGFR ≥25 to <75 mL/min/1.73 m² (CKD-EPI)
-
Prior treatment with angiotensin-converting enzyme inhibitors (ACEIs) and angiotensin receptor blockers (ARBs) as follows:
- For at least 4 weeks prior to the run-in visit, subjects should be treated with either an ACEI or ARB, or both
- Starting with the run-in visit, subjects should be treated with only an ACEI or ARB
- For at least 4 weeks prior to the screening visit, subjects should be treated with the maximum tolerated labeled dose (but not below the minimal labeled dose) of only an ACEI or an ARB (not both) preferably without any adjustments to dose or choice of agent or to any other antihypertensive or antiglycemic treatment
- Serum potassium ≤4.8 mmol/L at both the run-in and the screening visit
Exclusion Criteria:
- Known significant non-diabetic renal disease, including clinically relevant renal artery stenosis
- Uncontrolled arterial hypertension (ie, mean sitting systolic blood pressure (SBP) ≥170 mmHg, sitting diastolic blood pressure (DBP) ≥110 mmHg at run-in visit, or mean sitting SBP ≥160 mmHg, sitting DBP ≥100 mmHg at screening)
- Glycated hemoglobin (HbA1c) >12%
- Mean SBP < 90 mmHg at the run-in visit or at the screening visit
- Clinical diagnosis of chronic heart failure with reduced ejection fraction (HFrEF) and persistent symptoms (New York Heart Association [NYHA] class II - IV) at run-in visit (class 1A recommendation for mineralcorticoid receptor antagonists [MRAs])
- Stroke, transient ischemic cerebral attack, acute coronary syndrome, or hospitalization for worsening heart failure, in the last 30 days prior to the screening visit
- Dialysis for acute renal failure within 12 weeks of run-in visit
- Renal allograft in place or scheduled within next 12 months from the run-in visit

To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02540993


United States, Alabama | |
Birmingham, Alabama, United States, 35294 | |
Fort Payne, Alabama, United States, 35967 | |
Huntsville, Alabama, United States, 35801-4317 | |
United States, Arizona | |
Mesa, Arizona, United States, 85210 | |
Phoenix, Arizona, United States, 85016 | |
Phoenix, Arizona, United States, 85032 | |
Prescott, Arizona, United States, 86301 | |
Tucson, Arizona, United States, 85723 | |
Tucson, Arizona, United States, 85724 | |
United States, California | |
Arvin, California, United States, 93203 | |
Chula Vista, California, United States, 91910 | |
Dublin, California, United States, 94568 | |
El Centro, California, United States, 92243 | |
Fresno, California, United States, 93720 | |
Fresno, California, United States, 93721 | |
La Mesa, California, United States, 91942 | |
Loma Linda, California, United States, 92357 | |
Los Angeles, California, United States, 90017 | |
Los Angeles, California, United States, 90022 | |
Los Angeles, California, United States, 90025 | |
Los Angeles, California, United States, 90073 | |
Northridge, California, United States, 91325 | |
Port Hueneme, California, United States, 93041 | |
Poway, California, United States, 92064 | |
Rancho Cucamonga, California, United States, 91730 | |
Rialto, California, United States, 92377 | |
Roseville, California, United States, 95661 | |
San Diego, California, United States, 92117 | |
San Francisco, California, United States, 94110 | |
Torrance, California, United States, 90502 | |
United States, Connecticut | |
New Haven, Connecticut, United States, 06520 | |
Waterbury, Connecticut, United States, 06708 | |
United States, Florida | |
Fleming Island, Florida, United States, 32003 | |
Fort Lauderdale, Florida, United States, 33316-1958 | |
Gainesville, Florida, United States, 32610-0224 | |
Hialeah, Florida, United States, 33012 | |
Hialeah, Florida, United States, 33016 | |
Hollywood, Florida, United States, 33024 | |
Jacksonville, Florida, United States, 32204 | |
Miami Beach, Florida, United States, 33140 | |
Miami Gardens, Florida, United States, 33169 | |
Miami Lakes, Florida, United States, 33014 | |
Miami Lakes, Florida, United States, 33016 | |
Miami, Florida, United States, 33032 | |
Miami, Florida, United States, 33126 | |
Miami, Florida, United States, 33130 | |
Miami, Florida, United States, 33144 | |
Miami, Florida, United States, 33145 | |
Miami, Florida, United States, 33155 | |
Miami, Florida, United States, 33156 | |
Miami, Florida, United States, 33165 | |
Miami, Florida, United States, 33173 | |
Miami, Florida, United States, 33175 | |
Miami, Florida, United States, 33180 | |
Miami, Florida, United States, 33186 | |
New Port Richey, Florida, United States, 34652 | |
Ocala, Florida, United States, 34471 | |
Orlando, Florida, United States, 32825 | |
Palm Harbor, Florida, United States, 34684 | |
Sarasota, Florida, United States, 34239 | |
Tampa, Florida, United States, 33614 | |
Tampa, Florida, United States, 33619 | |
Winter Haven, Florida, United States, 33880 | |
United States, Georgia | |
Atlanta, Georgia, United States, 30303 | |
Atlanta, Georgia, United States, 30318 | |
Atlanta, Georgia, United States, 30342 | |
Augusta, Georgia, United States, 30904 | |
Duluth, Georgia, United States, 30096 | |
Lilburn, Georgia, United States, 30047 | |
Macon, Georgia, United States, 31210 | |
United States, Hawaii | |
Honolulu, Hawaii, United States, 96814 | |
United States, Illinois | |
Chicago, Illinois, United States, 60611 | |
Chicago, Illinois, United States, 60612 | |
Elgin, Illinois, United States, 60123 | |
United States, Indiana | |
Indianapolis, Indiana, United States, 46202 | |
United States, Iowa | |
Iowa City, Iowa, United States, 52242 | |
United States, Kansas | |
Hutchinson, Kansas, United States, 67502-1131 | |
Topeka, Kansas, United States, 66606 | |
Wichita, Kansas, United States, 67214 | |
United States, Louisiana | |
Metairie, Louisiana, United States, 70006 | |
Monroe, Louisiana, United States, 71201 | |
New Orleans, Louisiana, United States, 70112 | |
Shreveport, Louisiana, United States, 71101 | |
United States, Maryland | |
Takoma Park, Maryland, United States, 20912 | |
United States, Massachusetts | |
Boston, Massachusetts, United States, 02215 | |
United States, Michigan | |
Ann Arbor, Michigan, United States, 48109 | |
Flint, Michigan, United States, 48504 | |
Flint, Michigan, United States, 48532 | |
United States, Minnesota | |
Minneapolis, Minnesota, United States, 55455 | |
United States, Missouri | |
Columbia, Missouri, United States, 65201 | |
Columbia, Missouri, United States, 65212 | |
Jefferson City, Missouri, United States, 65109 | |
Kansas City, Missouri, United States, 64111 | |
Kansas City, Missouri, United States, 64128 | |
Saint Louis, Missouri, United States, 63106 | |
Saint Louis, Missouri, United States, 63136 | |
United States, Nebraska | |
Lincoln, Nebraska, United States, 68510 | |
Omaha, Nebraska, United States, 68124 | |
Omaha, Nebraska, United States, 68131 | |
United States, Nevada | |
Las Vegas, Nevada, United States, 89086 | |
Las Vegas, Nevada, United States, 89102 | |
Las Vegas, Nevada, United States, 89113-2215 | |
Las Vegas, Nevada, United States, 89119 | |
Las Vegas, Nevada, United States, 89128 | |
Reno, Nevada, United States, 89511 | |
United States, New Jersey | |
Newark, New Jersey, United States, 07103 | |
United States, New Mexico | |
Albuquerque, New Mexico, United States, 87106 | |
United States, New York | |
Albany, New York, United States, 12206 | |
Brooklyn, New York, United States, 11203 | |
Flushing, New York, United States, 11355 | |
Mineola, New York, United States, 11501 | |
New York, New York, United States, 10021 | |
New York, New York, United States, 10029 | |
New York, New York, United States, 10032 | |
Rosedale, New York, United States, 11422 | |
Smithtown, New York, United States, 11787 | |
Staten Island, New York, United States, 10301 | |
United States, North Carolina | |
Asheboro, North Carolina, United States, 27203 | |
Chapel Hill, North Carolina, United States, 27312 | |
Charlotte, North Carolina, United States, 28207 | |
Greenville, North Carolina, United States, 27834 | |
New Bern, North Carolina, United States, 28562 | |
Winston-Salem, North Carolina, United States, 27103 | |
Winston-Salem, North Carolina, United States, 27157 | |
United States, Ohio | |
Canton, Ohio, United States, 44718 | |
Cleveland, Ohio, United States, 44106 | |
Columbus, Ohio, United States, 43210 | |
United States, Pennsylvania | |
Beaver, Pennsylvania, United States, 15009 | |
Bethlehem, Pennsylvania, United States, 18017 | |
Hershey, Pennsylvania, United States, 17033 | |
Lansdale, Pennsylvania, United States, 19446-2321 | |
United States, South Carolina | |
Anderson, South Carolina, United States, 29625 | |
Charleston, South Carolina, United States, 29425 | |
Greenville, South Carolina, United States, 29605 | |
Greer, South Carolina, United States, 29651 | |
Murrells Inlet, South Carolina, United States, 29576 | |
Orangeburg, South Carolina, United States, 29118 | |
United States, Tennessee | |
Chattanooga, Tennessee, United States, 37404 | |
Memphis, Tennessee, United States, 38120 | |
Memphis, Tennessee, United States, 38163 | |
Nashville, Tennessee, United States, 37205 | |
Nashville, Tennessee, United States, 37208 | |
Nashville, Tennessee, United States, 37232-1371 | |
United States, Texas | |
Arlington, Texas, United States, 76014 | |
Corpus Christi, Texas, United States, 78414 | |
Dallas, Texas, United States, 75216 | |
Dallas, Texas, United States, 75246 | |
Dallas, Texas, United States, 75251 | |
El Paso, Texas, United States, 79935 | |
Houston, Texas, United States, 77008 | |
Houston, Texas, United States, 77024 | |
Houston, Texas, United States, 77040 | |
Houston, Texas, United States, 77061 | |
Houston, Texas, United States, 77079 | |
Houston, Texas, United States, 77095 | |
Kingwood, Texas, United States, 77339 | |
McAllen, Texas, United States, 78503 | |
McKinney, Texas, United States, 75069 | |
Pearland, Texas, United States, 77584 | |
Pflugerville, Texas, United States, 78660 | |
San Antonio, Texas, United States, 78212 | |
San Antonio, Texas, United States, 78215 | |
San Antonio, Texas, United States, 78229-3900 | |
Sugar Land, Texas, United States, 77478 | |
Sugar Land, Texas, United States, 77479 | |
Waco, Texas, United States, 76710 | |
United States, Utah | |
Saint George, Utah, United States, 84790 | |
Salt Lake City, Utah, United States, 84108 | |
United States, Vermont | |
Burlington, Vermont, United States, 05401 | |
United States, Virginia | |
Alexandria, Virginia, United States, 22304 | |
Manassas, Virginia, United States, 20110 | |
Salem, Virginia, United States, 24153 | |
Virginia Beach, Virginia, United States, 23462 | |
United States, Washington | |
Spokane, Washington, United States, 99204 | |
Tacoma, Washington, United States, 98405 | |
United States, Wisconsin | |
Milwaukee, Wisconsin, United States, 53295 | |
Argentina | |
Junín, Buenos Aires, Argentina, B6000GMA | |
Lanús, Buenos Aires, Argentina, B1824KAJ | |
Mar del Plata, Buenos Aires, Argentina, B7602CBM | |
Sarandí, Buenos Aires, Argentina, 1872 | |
Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1056ABJ | |
Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1426ABP | |
Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1428ART | |
Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1429BWN | |
Caba, Ciudad Auton. De Buenos Aires, Argentina, C1018DES | |
Ciudad Autón. de Buenos Aires, Ciudad Auton. De Buenos Aires, Argentina, C1425AGC | |
Córdoba, Argentina, X5000AAW Córdoba | |
Córdoba, Argentina, X5000JHQ | |
San Luis, Argentina, D5702AAx | |
Australia, Australian Capital Territory | |
Garran, Australian Capital Territory, Australia, 2605 | |
Australia, New South Wales | |
Gosford, New South Wales, Australia, 2250 | |
Liverpool, New South Wales, Australia, 2170 | |
New Lambton Heights, New South Wales, Australia, 2305 | |
Wollongong, New South Wales, Australia, 2500 | |
Australia, South Australia | |
Adelaide, South Australia, Australia, 5000 | |
Australia, Victoria | |
Fitzroy, Victoria, Australia, 3065 | |
Heidelberg, Victoria, Australia, 3081 | |
Reservoir, Victoria, Australia, 3073 | |
Richmond, Victoria, Australia, 3121 | |
St. Albans, Victoria, Australia, 3021 | |
Australia | |
Box Hill, Australia, 3128 | |
Elizabeth Vale, Australia, 5112 | |
Austria | |
Linz, Oberösterreich, Austria, 4020 | |
Linz, Oberösterreich, Austria, 4021 | |
Graz, Steiermark, Austria, 8036 | |
Saint Stefan, Steiermark, Austria, 8511 | |
Feldkirch, Vorarlberg, Austria, 6807 | |
Innsbruck, Austria, 6020 | |
Salzburg, Austria, 5020 | |
St. Pölten, Austria, 3100 | |
Wels, Austria, 4600 | |
Wien, Austria, 1030 | |
Wien, Austria, 1060 | |
Wien, Austria, 1090 | |
Wien, Austria, 1130 | |
Belgium | |
Antwerpen, Belgium, 2060 | |
Bruxelles - Brussel, Belgium, 1070 | |
Edegem, Belgium, 2650 | |
Gent, Belgium, 9000 | |
Ieper, Belgium, 8900 | |
Kortrijk, Belgium, 8500 | |
Leuven, Belgium, 3000 | |
Liege, Belgium, 4000 | |
Roeselare, Belgium, 8800 | |
Brazil | |
Feira de Santana, Bahia, Brazil, 44001-584 | |
Salvador, Bahia, Brazil, 40415-065 | |
Fortaleza, Ceará, Brazil, 60115-282 | |
Fortaleza, Ceará, Brazil, 60430-140 | |
Fortaleza, Ceará, Brazil | |
Brasilia, Distrito Federal, Brazil, 70.200-730 | |
Aparecida de Goiania, Goiás, Brazil, 74935-530 | |
Goiania, Goiás, Brazil, 74605-020 | |
Juiz de Fora, Minas Gerais, Brazil, 36036-330 | |
Uberlândia, Minas Gerais, Brazil, 38411-186 | |
Campina Grande do Sul, Parana, Brazil, 83430 000 | |
Curitiba, Parana, Brazil, 80030-110 | |
Curitiba, Parana, Brazil, 80230-130 | |
Curitiba, Parana, Brazil, 80440-020 | |
Porto Alegre, Rio Grande Do Sul, Brazil, 90430-001 | |
Porto Alegre, Rio Grande Do Sul, Brazil, 90610-000 | |
Santo Andre, Sao Paulo, Brazil | |
São José do Rio Preto, Sao Paulo, Brazil, 15090-000 | |
São José dos Campos, Sao Paulo, Brazil, 12243-280 | |
São Paulo, Sao Paulo, Brazil | |
Rio de Janeiro, Brazil, 20241-180 | |
Rio de Janeiro, Brazil, 21941-913 | |
Sao Paulo, Brazil, 01223-001 | |
Sao Paulo, Brazil, 01228-200 | |
Sao Paulo, Brazil, 04039-000 | |
Bulgaria | |
Blagoevgrad, Bulgaria, 2700 | |
Botevgrad, Bulgaria, 2140 | |
Dimitrovgrad, Bulgaria, 6400 | |
Gorna Oryahovitsa, Bulgaria, 5100 | |
Kazanlak, Bulgaria, 6102 | |
Kozloduy, Bulgaria, 3320 | |
Lukovit, Bulgaria, 5770 | |
Plovdiv, Bulgaria, 4002 | |
Plovdiv, Bulgaria, 4004 | |
Razgrad, Bulgaria, 7200 | |
Sliven, Bulgaria, 8800 | |
Smolyan, Bulgaria, 4700 | |
Sofia, Bulgaria, 1233 | |
Sofia, Bulgaria, 1407 | |
Sofia, Bulgaria, 1606 | |
Sofia, Bulgaria, 1680 | |
Stara Zagora, Bulgaria, 6000 | |
Varna, Bulgaria, 9000 | |
Yambol, Bulgaria, 8600 | |
Canada, British Columbia | |
Burnaby, British Columbia, Canada, V3J 1N4 | |
Coquitlam, British Columbia, Canada, V3K 3P4 | |
New Westminster, British Columbia, Canada, V3L 0A6 | |
Canada, Newfoundland and Labrador | |
Mount Pearl, Newfoundland and Labrador, Canada, A1N 1W7 | |
St. John's, Newfoundland and Labrador, Canada, A1A 3R5 | |
Canada, Nova Scotia | |
Halifax, Nova Scotia, Canada, B3H 1V8 | |
Canada, Ontario | |
Cambridge, Ontario, Canada, N1R 7L6 | |
Hamilton, Ontario, Canada, L8M 1K7 | |
Hamilton, Ontario, Canada, L8N 4A6 | |
Kitchener, Ontario, Canada, N2G 4V5 | |
Newmarket, Ontario, Canada, L3Y 5G8 | |
Oshawa, Ontario, Canada, L1G 2B9 | |
Ottawa, Ontario, Canada, K1K 4L2 | |
Sarnia, Ontario, Canada, N7T 4X3 | |
Smith Falls, Ontario, Canada, K7A 4W8 | |
Sudbury, Ontario, Canada, P3A 1W8 | |
Thornhill, Ontario, Canada, L4J 1W3 | |
Toronto, Ontario, Canada, M4G 3E8 | |
Toronto, Ontario, Canada, M5C 2T2 | |
Waterloo, Ontario, Canada, N2J 1C4 | |
Canada, Quebec | |
Greenfield Park, Quebec, Canada, J4V 2H1 | |
Laval, Quebec, Canada, H7T 2P5 | |
Mirabel, Quebec, Canada, J7J 2K8 | |
Montreal, Quebec, Canada, H1M 1B1 | |
Montreal, Quebec, Canada, H2K 1H2 | |
Montreal, Quebec, Canada, H3G 1A4 | |
Montreal, Quebec, Canada, H4A 3J1 | |
Montreal, Quebec, Canada, H4A 3T2 | |
Montreal, Quebec, Canada, H4J 1C5 | |
Canada | |
Quebec, Canada, G1V 4W2 | |
Chile | |
Osorno, Los Lagos, Chile, 5311092 | |
Las Condes, Santiago, Chile, 7591047 | |
Providencia, Santiago, Chile, 7500520 | |
Providencia, Santiago, Chile, 7500710 | |
Providencia, Santiago, Chile, 7500922 | |
San Bernardo, Santiago, Chile, 8053095 | |
San Miguel, Santiago, Chile, 8910108 | |
Santiago, Chile, 8330008 | |
Santiago, Chile, 8331143 | |
Santiago, Chile, 8380456 | |
China, Fujian | |
Fuzhou, Fujian, China, 350025 | |
Xiamen, Fujian, China, 361003 | |
Xiamen, Fujian, China, 361004 | |
China, Gansu | |
Lanzhou, Gansu, China, 730030 | |
China, Guangdong | |
Guangzhou, Guangdong, China, 510080 | |
Guangzhou, Guangdong, China, 510120 | |
Guangzhou, Guangdong, China, 510150 | |
Guangzhou, Guangdong, China, 510405 | |
Guangzhou, Guangdong, China, 510630 | |
Zhuhai, Guangdong, China, 519000 | |
China, Guangxi | |
Nanning, Guangxi, China, 530021 | |
Nanning, Guangxi, China, 530031 | |
China, Hainan | |
Haikou, Hainan, China, 570102 | |
Haikou, Hainan, China, 570311 | |
China, Hubei | |
Wuhan, Hubei, China, 430022 | |
Wuhan, Hubei, China, 430034 | |
China, Hunan | |
Changsha, Hunan, China, 410008 | |
Changsha, Hunan, China, 410011 | |
Changsha, Hunan, China, 410013 | |
China, Jiangsu | |
Changzhou, Jiangsu, China, 213004 | |
Huai'An, Jiangsu, China, 223300 | |
Lianyungang, Jiangsu, China, 222002 | |
Nanjing, Jiangsu, China, 210006 | |
Nanjing, Jiangsu, China, 210008 | |
Nanjing, Jiangsu, China, 210011 | |
Nanjing, Jiangsu, China, 210029 | |
Suzhou, Jiangsu, China, 215006 | |
Wuxi, Jiangsu, China, 214023 | |
Yancheng, Jiangsu, China, 224005 | |
China, Jiangxi | |
Nanchang, Jiangxi, China, 330006 | |
Nanchang, Jiangxi, China, 330008 | |
China, Jilin | |
Changchun, Jilin, China, 130000 | |
Changchun, Jilin, China, 130021 | |
China, Liaoning | |
Shenyang, Liaoning, China, 110004 | |
Shenyang, Liaoning, China, 110016 | |
China, Ningxia | |
Yinchuan, Ningxia, China, 750004 | |
China, Shaanxi | |
Xi'an, Shaanxi, China, 710061 | |
China, Shandong | |
Qingdao, Shandong, China, 266000 | |
Qingdao, Shandong, China, 266071 | |
China, Shanxi | |
Taiyuan, Shanxi, China, 030001 | |
China, Sichuan | |
Chengdu, Sichuan, China, 610041 | |
Chengdu, Sichuan, China, 610072 | |
China, Zhejiang | |
Hangzhou, Zhejiang, China, 310013 | |
Taizhou, Zhejiang, China, 317000 | |
Wenzhou, Zhejiang, China, 325000 | |
China | |
Beijing, China, 100010 | |
Beijing, China, 100730 | |
Chongqing, China, 400010 | |
Shanghai, China, 200025 | |
Shanghai, China, 200040 | |
Shanghai, China, 200062 | |
Shanghai, China, 200072 | |
Shanghai, China, 200092 | |
Shanghai, China, 200240 | |
Shanghai, China, 201199 | |
Tianjin, China, 300052 | |
Tianjin, China, 300121 | |
Tianjin, China, 300142 | |
Colombia | |
Medellín, Antioquia, Colombia, 050034 | |
Medellín, Antioquia, Colombia, 0 | |
Medellín, Antioquia, Colombia | |
Barranquilla, Atlántico, Colombia, 0 | |
Barranquilla, Atlántico, Colombia | |
Manizales, Caldas, Colombia | |
Zipaquirá, Cundinamarca, Colombia, 0 | |
Bogotá, Distrito Capital De Bogotá, Colombia, 0 | |
Cundinamarca, Distrito Capital De Bogotá, Colombia | |
Armenia, Quindío, Colombia, 0 | |
Cali, Valle Del Cauca, Colombia, 760032 | |
Cali, Valle Del Cauca, Colombia | |
Floridablanca, Colombia | |
Medellín, Colombia | |
Czechia | |
Beroun, Czechia, 266 01 | |
Brandys nad Labem, Czechia, 250 01 | |
Breclav, Czechia, 690 02 | |
Ceska Lipa, Czechia, 470 01 | |
Cesky Krumlov, Czechia, 381 01 | |
Cesky Krumlov, Czechia, 381 27 | |
Frydek-Mistek, Czechia, 738 01 | |
Hodonin, Czechia, 695 01 | |
Holesov, Czechia, 769 01 | |
Hranice, Czechia, 753 001 | |
Koprivnice, Czechia, 742 21 | |
Krnov, Czechia, 794 01 | |
Mlada Boleslav, Czechia, 293 50 | |
Olomouc, Czechia, 775 20 | |
Olomouc, Czechia, 779 00 | |
Ostrava, Czechia, 702 00 | |
Plzen, Czechia, 301 66 | |
Prague 6, Czechia, 169 00 | |
Praha 2, Czechia, 12808 | |
Praha 4, Czechia, 140 00 | |
Praha 4, Czechia, 140 46 | |
Praha 5, Czechia, 150 00 | |
Vlasim, Czechia, 258 01 | |
Denmark | |
Aalborg, Denmark, 9000 | |
Aarhus N, Denmark, 8200 | |
Esbjerg, Denmark, 6700 | |
Gentofte, Denmark, 2820 | |
Hellerup, Denmark, 2900 | |
Herlev, Denmark, 2730 | |
Hillerød, Denmark, DK-3400 | |
Holbæk, Denmark, 4300 | |
Holstebro, Denmark, DK-7500 | |
Hvidovre, Denmark, 2650 | |
Kolding, Denmark, 6000 | |
København NV, Denmark, 2400 | |
Odense C, Denmark, DK-5000 | |
Svendborg, Denmark, 5700 | |
Viborg, Denmark, 8800 | |
Finland | |
Jyväskylä, Finland, 40620 | |
Kajaani, Finland, 87140 | |
Kerava, Finland, 04200 | |
Klaukkala, Finland, 01800 | |
Kuopio, Finland, 70100 | |
Nurmijärvi, Finland, 01900 | |
Oulu, Finland, 90100 | |
Rauma, Finland, 26100 | |
Seinäjoki, Finland, 60100 | |
Tampere, Finland, 33520 | |
Turku, Finland, 20521 | |
Vantaa, Finland, 01600 | |
France | |
Bois-guillaume, France, 76230 | |
Bordeaux, France, 33000 | |
Boulogne Sur Mer, France, 62321 | |
Brest, France, 29200 | |
COLMAR Cedex, France, 68024 | |
Dijon, France, 21000 | |
La Rochelle, France, 17019 | |
La Tronche, France, 38700 | |
Le Coudray, France, 28630 | |
Le Creusot, France, 71200 | |
Lyon Cedex, France, 69437 | |
Mulhouse, France, 68051 | |
NIMES cedex 9, France, 30029 | |
Paris, France, 75018 | |
PESSAC cedex, France, 33608 | |
Saint Herblain, France, 44093 | |
Saint Priest En Jarez, France, 42270 | |
Tourcoing, France, 59280 | |
Vandoeuvre-les-nancy, France, 54500 | |
Venissieux, France, 69200 | |
Germany | |
Heidelberg, Baden-Württemberg, Germany, 69115 | |
Ludwigsburg, Baden-Württemberg, Germany, 71640 | |
Schweinfurt, Bayern, Germany, 97421 | |
Würzburg, Bayern, Germany, 97080 | |
Elsterwerda, Brandenburg, Germany, 04910 | |
Bad König, Hessen, Germany, 64732 | |
Frankfurt, Hessen, Germany, 60313 | |
Frankfurt, Hessen, Germany, 60596 | |
Göttingen, Niedersachsen, Germany, 37075 | |
Hannover, Niedersachsen, Germany, 30625 | |
Aachen, Nordrhein-Westfalen, Germany, 52074 | |
Bad Oeynhausen, Nordrhein-Westfalen, Germany, 32545 | |
Bochum, Nordrhein-Westfalen, Germany, 44787 | |
Dortmund, Nordrhein-Westfalen, Germany, 44137 | |
Düsseldorf, Nordrhein-Westfalen, Germany, 40210 | |
Düsseldorf, Nordrhein-Westfalen, Germany, 40225 | |
Essen, Nordrhein-Westfalen, Germany, 45136 | |
Münster, Nordrhein-Westfalen, Germany, 48145 | |
Nettetal, Nordrhein-Westfalen, Germany, 41334 | |
Witten, Nordrhein-Westfalen, Germany, 58455 | |
Ludwigshafen, Rheinland-Pfalz, Germany, 67059 | |
Mainz, Rheinland-Pfalz, Germany, 55128 | |
Dresden, Sachsen, Germany, 01277 | |
Dresden, Sachsen, Germany, 01307 | |
Hoyerswerda, Sachsen, Germany, 02977 | |
Leipzig, Sachsen, Germany, 04103 | |
Leipzig, Sachsen, Germany, 04249 | |
Jena, Thüringen, Germany, 07747 | |
Berlin, Germany, 10437 | |
Berlin, Germany, 12203 | |
Berlin, Germany, 13187 | |
Berlin, Germany, 13347 | |
Hamburg, Germany, 22041 | |
Greece | |
Alexandroupolis, Greece, 68100 | |
Athens, Greece, 11527 | |
Athens, Greece, 14455 | |
Chaidari, Greece, 12462 | |
Larissa, Greece, 41100 | |
Nea Ionia, Greece, 14233 | |
Thessaloniki, Greece, 54642 | |
Thessaloniki, Greece, 56403 | |
Hong Kong | |
Hong Kong, Hong Kong | |
Shatin, Hong Kong | |
Sheung Wan, Hong Kong | |
Wong Tai Sin, Hong Kong | |
Hungary | |
Baja, Hungary, 6500 | |
Balatonfured, Hungary, 8230 | |
Budapest, Hungary, 1036 | |
Budapest, Hungary, 1042 | |
Budapest, Hungary, 1088 | |
Budapest, Hungary, 1089 | |
Budapest, Hungary, 1134 | |
Budapest, Hungary, 1135 | |
Debrecen, Hungary, 4031 | |
Eger, Hungary, 3300 | |
Kaposvar, Hungary, 7400 | |
Kistarcsa, Hungary, 2143 | |
Nyiregyhaza, Hungary, 4400 | |
Nyiregyhaza, Hungary, 4405 | |
Papa, Hungary, 8500 | |
Siofok, Hungary, 8600 | |
Szeged, Hungary | |
Szekesfehervar, Hungary, 8000 | |
Szentes, Hungary, 6600 | |
Szombathely, Hungary, 9700 | |
Veszprem, Hungary, 8200 | |
Ireland | |
Cork, Ireland | |
Dublin, Ireland, D07 R2WY | |
Dublin, Ireland, DUBLIN 4 | |
Galway, Ireland | |
Israel | |
Afula, Israel, 1834111 | |
Ashkelon, Israel, 7830604 | |
Beer Sheva, Israel, 8410101 | |
Hadera, Israel, 3810101 | |
Haifa, Israel, 3109601 | |
Holon, Israel, 5822012 | |
Jerusalem, Israel, 9112001 | |
Kfar Saba, Israel, 4428164 | |
Nahariya, Israel, 2210001 | |
Nahariya, Israel, 22100 | |
Nazareth, Israel, 16100 | |
Ramat Gan, Israel, 5262000 | |
Rehovot, Israel, 7610001 | |
Sakhnin, Israel, 3081000 | |
Tel Aviv, Israel, 6203854 | |
Tel Aviv, Israel, 6423906 | |
Tel Aviv, Israel, 6905234 | |
Tel Aviv, Israel, 6937947 | |
Tiberias, Israel, 1528001 | |
Zefat, Israel, 1311001 | |
Zerifin, Israel, 7030000 | |
Italy | |
Napoli, Campania, Italy, 80131 | |
Bologna, Emilia-Romagna, Italy, 40138 | |
Parma, Emilia-Romagna, Italy, 43126 | |
Reggio Emilia, Emilia-Romagna, Italy, 42123 | |
Genova, Liguria, Italy, 16011 | |
Genova, Liguria, Italy, 16132 | |
Bergamo, Lombardia, Italy, 24020 | |
Bergamo, Lombardia, Italy, 24047 | |
Bergamo, Lombardia, Italy, 24127 | |
Milano, Lombardia, Italy, 20024 | |
Milano, Lombardia, Italy, 20132 | |
Milano, Lombardia, Italy, 20142 | |
Milano, Lombardia, Italy, 20157 | |
Monza Brianza, Lombardia, Italy, 20832 | |
Torino, Piemonte, Italy, 10023 | |
Torino, Piemonte, Italy, 10043 | |
Cagliari, Sardegna, Italy, 09134 | |
Sassari, Sardegna, Italy, 07026 | |
Catania, Sicilia, Italy, 95124 | |
Messina, Sicilia, Italy, 98125 | |
Padova, Veneto, Italy, 35128 | |
Verona, Veneto, Italy, 37126 | |
Japan | |
Nagoya, Aichi, Japan, 451-8511 | |
Nagoya, Aichi, Japan, 456-0058 | |
Nagoya, Aichi, Japan, 457-8510 | |
Nagoya, Aichi, Japan, 460-0001 | |
Nagoya, Aichi, Japan, 466-8650 | |
Toyota, Aichi, Japan, 471-8513 | |
Funabashi, Chiba, Japan, 273-8588 | |
Ichikawa, Chiba, Japan, 272-8516 | |
Matsuyama, Ehime, Japan, 790-0024 | |
Matsuyama, Ehime, Japan, 791-8026 | |
Chikushino, Fukuoka, Japan, 818-8502 | |
Kasuga, Fukuoka, Japan, 816-0864 | |
Kitakyushu, Fukuoka, Japan, 800-0296 | |
Kitakyushu, Fukuoka, Japan, 802-8555 | |
Kitakyushu, Fukuoka, Japan, 805-8508 | |
Kitakyushu, Fukuoka, Japan, 807-0857 | |
Shirakawa, Fukushima, Japan, 961-0005 | |
Ogaki, Gifu, Japan, 503-8502 | |
Maebashi, Gunma, Japan, 371-0821 | |
Higashihiroshima, Hiroshima, Japan, 739-0041 | |
Asahikawa, Hokkaido, Japan, 078-8234 | |
Hakodate, Hokkaido, Japan, 041-8680 | |
Obihiro, Hokkaido, Japan, 080-0848 | |
Sapporo, Hokkaido, Japan, 007-0841 | |
Kobe, Hyogo, Japan, 650-0047 | |
Naka, Ibaraki, Japan, 311-0113 | |
Ushiku, Ibaraki, Japan, 300-1207 | |
Komatsu, Ishikawa, Japan, 923-8560 | |
Sanuki, Kagawa, Japan, 769-2393 | |
Takamatsu, Kagawa, Japan, 760-0017 | |
Takamatsu, Kagawa, Japan, 760-0018 | |
Atsugi, Kanagawa, Japan, 243-0035 | |
Fujisawa, Kanagawa, Japan, 251-0041 | |
Kamakura, Kanagawa, Japan, 247-8533 | |
Yokohama, Kanagawa, Japan, 235-0045 | |
Yokohama, Kanagawa, Japan, 245-8575 | |
Yokohama, Kanagawa, Japan, 247-8581 | |
Tamana, Kumamoto, Japan, 865-0016 | |
Yatsushiro, Kumamoto, Japan, 866-0824 | |
Sasebo, Nagasaki, Japan, 857-1195 | |
Beppu, Oita, Japan, 874-0011 | |
Yufu, Oita, Japan, 879-5593 | |
Nakagami-gun, Okinawa, Japan, 901-2393 | |
Shimajiri, Okinawa, Japan, 901-0493 | |
Suita, Osaka, Japan, 565-0862 | |
Kawaguchi, Saitama, Japan, 332-0012 | |
Sayama, Saitama, Japan, 350-1305 | |
Otsu, Shiga, Japan, 520-0804 | |
Iwata, Shizuoka, Japan, 438-8550 | |
Oyama, Tochigi, Japan, 323-0022 | |
Minato, Tokyo, Japan, 108-0073 | |
Musashino, Tokyo, Japan, 180-8610 | |
Shibuya-ku, Tokyo, Japan, 150-0002 | |
Fukui, Japan, 910-8526 | |
Fukui, Japan, 918-8503 | |
Fukuoka, Japan, 811-0213 | |
Fukuoka, Japan, 814-0180 | |
Fukuoka, Japan, 815-8555 | |
Kagoshima, Japan, 890-8760 | |
Kumamoto, Japan, 861-4193 | |
Kumamoto, Japan, 861-8520 | |
Kumamoto, Japan, 862-0976 | |
Nagasaki, Japan, 852-8511 | |
Osaka, Japan, 530-0001 | |
Osaka, Japan, 530-8480 | |
Osaka, Japan, 543-0035 | |
Osaka, Japan, 553-0003 | |
Osaka, Japan, 558-8558 | |
Saitama, Japan, 331-8577 | |
Korea, Republic of | |
Chuncheon, Gang''weondo, Korea, Republic of, 24253 | |
Wonju, Gang''weondo, Korea, Republic of, 26426 | |
Anyang-si, Gyeonggido, Korea, Republic of, 14068 | |
Goyang-si, Gyeonggido, Korea, Republic of, 10475 | |
Incheon Gwangyeogsi,, Incheon Gwang''yeogsi, Korea, Republic of, 21431 | |
Seoul, Seoul Teugbyeolsi, Korea, Republic of, 17985 | |
Busan, Korea, Republic of, 47392 | |
Busan, Korea, Republic of, 49241 | |
Daejeon, Korea, Republic of, 35015 | |
Seoul,, Korea, Republic of, 01830 | |
Seoul, Korea, Republic of, 02841 | |
Seoul, Korea, Republic of, 03080 | |
Seoul, Korea, Republic of, 03722 | |
Seoul, Korea, Republic of, 05278 | |
Seoul, Korea, Republic of, 05355 | |
Seoul, Korea, Republic of, 05505 | |
Seoul, Korea, Republic of, 06351 | |
Seoul, Korea, Republic of, 07061 | |
Seoul, Korea, Republic of, 07441 | |
Lithuania | |
Kaunas, Lithuania, LT-45217 | |
Kaunas, Lithuania, LT-48259 | |
Kaunas, Lithuania, LT-49449 | |
Klaipeda, Lithuania, LT-92304 | |
Utena, Lithuania, LT-28142 | |
Vilnius, Lithuania, LT-08661 | |
Malaysia | |
Johor Bahru, Malaysia, 80100 | |
Kelantan, Malaysia, 15200 | |
Kelantan, Malaysia | |
Kuala Lumpur, Malaysia, 59100 | |
Pahang, Malaysia, 25100 | |
Perak, Malaysia, 30450 | |
Perak, Malaysia, 32040 | |
Pulau Pinang, Malaysia, 10450 | |
Putrajaya, Malaysia, 62250 | |
Selangor, Malaysia, 47000 | |
Mexico | |
Ciudad de México, Distrito Federal, Mexico, 6700 | |
México D.F., Distrito Federal, Mexico, 14080 | |
México, D. F., Distrito Federal, Mexico, 11850 | |
México, D. F., Distrito Federal, Mexico, 3100 | |
Guadalajara, Jalisco, Mexico, 44600 | |
Guadalajara, Jalisco, Mexico, 44657 | |
Cuernavaca, Morelos, Mexico, 62250 | |
Queretaro, Querétaro, Mexico, 76000 | |
San Juan del Río, Querétaro, Mexico, 76800 | |
Culiacán, Sinaloa, Mexico, 80200 | |
Culiacán, Sinaloa, Mexico, 80230 | |
Mazatlán, Sinaloa, Mexico, 82110 | |
Puerto de Veracruz, Veracruz, Mexico, 91900 | |
Xalapa, Veracruz, Mexico, 91193 | |
Aguascalientes, Mexico, 20219 | |
Chihuahua, Mexico, 31238 | |
Ciudad de México, Mexico, 06726 | |
Netherlands | |
Alkmaar, Netherlands, 1815 JD | |
Almere, Netherlands, 1315 RA | |
Amersfoort, Netherlands, 3818 TZ | |
Amsterdam, Netherlands, 1091 AC | |
Amsterdam, Netherlands, 1105 AZ | |
Apeldoorn, Netherlands, 7334 DZ | |
Breda, Netherlands, 4818 CK | |
Den Haag, Netherlands, 2545 CH | |
Dordrecht, Netherlands, 3318 AT | |
Eindhoven, Netherlands, 5600 PD | |
Geleen, Netherlands, 6162 BG | |
Groningen, Netherlands, 9713 GZ | |
Hoogeveen, Netherlands, 7909 AA | |
Nieuwegein, Netherlands, 3435 CM | |
Zwijndrecht, Netherlands, 3331 LZ | |
New Zealand | |
Auckland, New Zealand, 2025 | |
Auckland, New Zealand | |
Christchurch, New Zealand | |
Hamilton, New Zealand, 3204 | |
Hawkes Bay, New Zealand, 4130 | |
Palmerston North, New Zealand, 4414 | |
Tauranga, New Zealand, 3110 | |
Wellington, New Zealand | |
Norway | |
Hamar, Norway, 2317 | |
Hamar, Norway | |
Kløfta, Norway, 2040 | |
Kristiansand, Norway, 4604 | |
Levanger, Norway, 7601 | |
Oslo, Norway, 0176 | |
Oslo, Norway, 0450 | |
Skedsmokorset, Norway, 2020 | |
Trondheim, Norway, 7030 | |
Ålesund, Norway | |
Philippines | |
Iloilo City, Philippines, 5000 | |
Marikina City, Philippines | |
Pasig City, Philippines, 1600 | |
Quezon City, Philippines, 1102 | |
Quezon City, Philippines, 1110 | |
Quezon City, Philippines, 1112 | |
Poland | |
Bialystok, Poland, 15-351 | |
Bydgoszcz, Poland, 85-079 | |
Chojnice, Poland, 89-600 | |
Gdansk, Poland, 80-952 | |
Gdynia, Poland, 81-537 | |
Katowice, Poland, 40-040 | |
Krakow, Poland, 30-510 | |
Krakow, Poland, 31-156 | |
Krakow, Poland, 31-261 | |
Krakow, Poland, 31-559 | |
Lodz, Poland, 90-153 | |
Lodz, Poland, 92-213 | |
Lodz, Poland, 94-060 | |
Lublin, Poland, 20-538 | |
Olsztyn, Poland, 10-561 | |
Poznan, Poland, 60-834 | |
Rzeszow, Poland, 35-055 | |
Skorzewo, Poland, 60-185 | |
Szczecin, Poland, 70-111 | |
Torun, Poland, 87-100 | |
Warszawa, Poland, 01-868 | |
Warszawa, Poland | |
Wroclaw, Poland, 51-162 | |
Wroclaw, Poland, 51-685 | |
Zabrze, Poland, 41-800 | |
Portugal | |
Covilha, Castelo Branco, Portugal, 6200-251 | |
Loures, Lisboa, Portugal, 2674-514 | |
Matosinhos, Porto, Portugal, 4464-513 | |
Funchal, Região Autónoma Da Madeira, Portugal, 9004-514 | |
Torres Novas, Santarém, Portugal, 2350-754 | |
Setubal, Setúbal, Portugal, 2900-446 | |
Almada, Portugal, 2801-951 | |
Amadora, Portugal, 2720-276 | |
Braga, Portugal, 4710-243 | |
Faro, Portugal, 8000-386 | |
Leiria, Portugal, 2410-197 | |
Lisboa, Portugal, 1069-166 | |
Lisboa, Portugal, 1250-189 | |
Lisboa, Portugal, 1449-005 | |
Lisboa, Portugal, 1500-650 | |
Porto, Portugal, 4099-001 | |
Porto, Portugal, 4200-319 | |
Viana do Castelo, Portugal, 4901-858 | |
Puerto Rico | |
Cidra, Puerto Rico, 00739 | |
San Juan, Puerto Rico, 00909-3004 | |
Romania | |
Alba-Iulia, Alba, Romania, 510053 | |
Baia Mare, Maramures, Romania, 430222 | |
Ploiesti, Prahova, Romania, 100179 | |
Timisoara, Timis, Romania, 300456 | |
Bucuresti, Romania, 010507 | |
Bucuresti, Romania, 010627 | |
Bucuresti, Romania, 010825 | |
Bucuresti, Romania, 014142 | |
Bucuresti, Romania, 020614 | |
Bucuresti, Romania, 031818 | |
Bucuresti, Romania, 050538 | |
Cluj-Napoca, Romania, 400006 | |
Galati, Romania, 800001 | |
Iasi, Romania, 700547 | |
Oradea, Romania, 410159 | |
Satu Mare, Romania, 440055 | |
Timisoara, Romania, 300736 | |
Russian Federation | |
Arkhangelsk, Russian Federation, 163001 | |
Barnaul, Russian Federation, 656024 | |
Chelyabinsk, Russian Federation, 454021 | |
Irkutsk, Russian Federation, 664079 | |
Izhevsk, Russian Federation, 426063 | |
Kazan, Russian Federation, 420012 | |
Kazan, Russian Federation, 420101 | |
Kemerovo, Russian Federation, 650002 | |
Kemerovo, Russian Federation, 650055 | |
Kemerovo, Russian Federation, 650066 | |
Kirov, Russian Federation, 610014 | |
Krasnodar, Russian Federation, 350086 | |
Krasnoyarsk, Russian Federation, 660062 | |
Kursk, Russian Federation, 305004 | |
Moscow, Russian Federation, 111539 | |
Moscow, Russian Federation, 117292 | |
Moscow, Russian Federation, 119034 | |
Moscow, Russian Federation, 119991 | |
Moscow, Russian Federation, 123182 | |
Moscow, Russian Federation, 123423 | |
Moscow, Russian Federation, 125101 | |
Moscow, Russian Federation, 125315 | |
Moscow, Russian Federation, 129110 | |
Nizhny Novgorod, Russian Federation, 603018 | |
Nizhny Novgorod, Russian Federation, 603126 | |
Novosibirsk, Russian Federation, 630047 | |
Novosibirsk, Russian Federation, 630089 | |
Novosibirsk, Russian Federation, 630091 | |
Novosibirsk, Russian Federation, 630117 | |
Omsk, Russian Federation, 644024 | |
Omsk, Russian Federation, 644033 | |
Omsk, Russian Federation, 644112 | |
Orenburg, Russian Federation, 460040 | |
Perm, Russian Federation, 614097 | |
Ryazan, Russian Federation, 390026 | |
Saratov, Russian Federation, 410030 | |
St. Petersburg, Russian Federation, 193312 | |
St. Petersburg, Russian Federation, 194044 | |
St. Petersburg, Russian Federation, 194223 | |
St. Petersburg, Russian Federation, 194354 | |
St. Petersburg, Russian Federation, 195067 | |
St. Petersburg, Russian Federation, 195112 | |
St. Petersburg, Russian Federation, 195257 | |
St. Petersburg, Russian Federation, 197762 | |
St. Petersburg, Russian Federation, 199226 | |
Stavropol, Russian Federation, 355030 | |
Syktyvkar, Russian Federation, 167981 | |
Voronezh, Russian Federation, 394018 | |
Voronezh, Russian Federation, 394077 | |
Yaroslavl, Russian Federation, 150003 | |
Yaroslavl, Russian Federation, 150062 | |
Yekaterinburg, Russian Federation, 620102 | |
Singapore | |
Singapore, Singapore, 119074 | |
Singapore, Singapore, 169608 | |
Singapore, Singapore, 169609 | |
Singapore, Singapore, 529889 | |
Singapore, Singapore, 768828 | |
Slovakia | |
Bardejov, Slovakia, 085 01 | |
Nitra, Slovakia, 949 11 | |
Rimavska Sobota, Slovakia, 979 01 | |
Roznava, Slovakia, 048 01 | |
Zilina, Slovakia, 01001 | |
South Africa | |
Port Elizabeth, Eastern Cape, South Africa, 6045 | |
Johannesburg, Gauteng, South Africa, 2198 | |
Johannesburg, Gauteng, South Africa | |
Lenasia South, Gauteng, South Africa, 1829 | |
Newtown, Gauteng, South Africa, 2113 | |
Petoria, Gauteng, South Africa | |
Pretoria, Gauteng, South Africa, 0084 | |
Pretoria, Gauteng, South Africa, 0181 | |
Soweto, Gauteng, South Africa, 1818 | |
Durban, Kwazulu-Natal, South Africa, 4030 | |
Isipingo Rail, Kwazulu-Natal, South Africa, 4110 | |
Tongaat, Kwazulu-Natal, South Africa, 4400 | |
Middelburg, Mpumalanga, South Africa, 1050 | |
Witbank, Mpumalanga, South Africa, 1035 | |
Cape Town, Western Cape, South Africa, 7569 | |
Cape Town, Western Cape, South Africa, 7925 | |
Somerset West, Western Cape, South Africa, 7130 | |
Worcester, Western Cape, South Africa, 6850 | |
Pretoria, South Africa, 0002 | |
Spain | |
Ferrol, A Coruña, Spain, 15405 | |
Badalona, Barcelona, Spain, 08916 | |
L'Hospitalet de Llobregat, Barcelona, Spain, 08907 | |
Manresa, Barcelona, Spain, 08243 | |
Sant Joan Despi, Barcelona, Spain, 08970 | |
Jerez de la Frontera, Cádiz, Spain, 11407 | |
Burela, Lugo, Spain, 27880 | |
Alcalá de Henares, Madrid, Spain, 28805 | |
Boadilla del Monte, Madrid, Spain, 28660 | |
Getafe, Madrid, Spain, 28905 | |
Sagunto, Valencia, Spain, 46520 | |
A Coruña, Spain, 15006 | |
Barcelona, Spain, 08003 | |
Barcelona, Spain, 08025 | |
Barcelona, Spain, 08035 | |
Barcelona, Spain, 08036 | |
Córdoba, Spain, 14004 | |
Granada, Spain, 18012 | |
Jaén, Spain, 23007 | |
Madrid, Spain, 28007 | |
Madrid, Spain, 28041 | |
Málaga, Spain, 29010 | |
Valencia, Spain, 46010 | |
Valencia, Spain, 46014 | |
Valencia, Spain, 46017 | |
Valencia, Spain, 46026 | |
Sweden | |
Göteborg, Sweden, 413 45 | |
Göteborg, Sweden, 413 46 | |
Lund, Sweden, 221 85 | |
Lund, Sweden, 222 21 | |
Rättvik, Sweden, 795 30 | |
Skövde, Sweden, 541 50 | |
Stockholm, Sweden, 113 24 | |
Stockholm, Sweden, 114 46 | |
Stockholm, Sweden, 141 86 | |
Stockholm, Sweden, 182 88 | |
Uppsala, Sweden, 751 85 | |
Uppsala, Sweden, 752 37 | |
Örebro, Sweden, 701 85 | |
Örebro, Sweden, 703 62 | |
Switzerland | |
Liestal, Basel-Landschaft, Switzerland, 4410 | |
St. Gallen, Sankt Gallen, Switzerland, 9007 | |
St. Gallen, Sankt Gallen, Switzerland, 9016 | |
Olten, Solothurn, Switzerland, 4600 | |
Frauenfeld, Thurgau, Switzerland, 8501 | |
Lausanne, Vaud, Switzerland, 1011 | |
Bern, Switzerland, 3010 | |
Genève, Switzerland, 1205 | |
Taiwan | |
Changhua, Taiwan, 50006 | |
Kaohsiung, Taiwan, 833 | |
New Taipei City, Taiwan, 220 | |
Taichung, Taiwan, 40447 | |
Taichung, Taiwan, 40705 | |
Taipei, Taiwan, 10016 | |
Taipei, Taiwan, 110 | |
Taipei, Taiwan, 11217 | |
Taoyuan, Taiwan, 333423 | |
Thailand | |
Bangkok, Thailand, 10400 | |
Bangkok, Thailand | |
Chiangmai, Thailand, 50200 | |
Khon Kaen, Thailand, 40002 | |
Turkey | |
Ankara, Turkey | |
Antalya, Turkey, 07058 | |
Edirne, Turkey, 22030 | |
Izmir, Turkey, 35540 | |
Kayseri, Turkey, 38039 | |
Kocaeli, Turkey, 41380 | |
Malatya, Turkey, 44280 | |
Samsun, Turkey, 55139 | |
Sivas, Turkey, 58140 | |
Ukraine | |
Cherkasy, Ukraine, 18009 | |
Chernivtsi, Ukraine, 58002 | |
Dnipro, Ukraine, 49000 | |
Dnipro, Ukraine, 49023 | |
Ivano-Frankivsk, Ukraine, 76008 | |
Kharkiv, Ukraine, 61037 | |
Kharkiv, Ukraine, 61039 | |
Kharkiv, Ukraine, 61058 | |
Kharkiv, Ukraine, 61070 | |
Kiev, Ukraine, 01021 | |
Kiev, Ukraine, 03049 | |
Kiev, Ukraine, 04050 | |
Kiev, Ukraine, 04114 | |
Kiev, Ukraine, 1601 | |
Kyiv, Ukraine, 03037 | |
Lviv, Ukraine, 79010 | |
Mykolayiv, Ukraine, 54003 | |
Ternopil, Ukraine, 46002 | |
Uzhgorod, Ukraine, 88018 | |
Vinnytsia, Ukraine, 21001 | |
Zaporizhzhya, Ukraine, 69001 | |
Zaporizhzhya, Ukraine, 69600 | |
United Kingdom | |
Llanelli, Carmarthenshire, United Kingdom, SA14 8QF | |
Leicester, Leicestershire, United Kingdom, LE5 4PW | |
Salford, Manchester, United Kingdom, M6 8HD | |
Liverpool, Merseyside, United Kingdom, L7 8XP | |
Northampton, Northamptonshire, United Kingdom, NN1 5BD | |
Carshalton, Surrey, United Kingdom, SM5 1AA | |
Newcastle Upon Tyne, Vale Of Glamorgan, The, United Kingdom, NE1 4LP | |
Chichester, West Sussex, United Kingdom, PO19 6SE | |
Bristol, United Kingdom, BS10 5NB | |
London, United Kingdom, E1 1BB | |
London, United Kingdom, NW3 2QG | |
London, United Kingdom, SE5 9RS | |
Manchester, United Kingdom, M8 5RB | |
Middlesborough, United Kingdom, TS4 3BW | |
Portsmouth, United Kingdom, PO6 3LY | |
Vietnam | |
Ha Noi, Vietnam, 10000 | |
Ha Noi, Vietnam | |
Ho Chi Minh City, Vietnam, 70000 | |
Ho Chi Minh City, Vietnam, 84 | |
Ho Chi Minh City, Vietnam |
Study Director: | Bayer Study Director | Bayer |
Documents provided by Bayer:
Publications of Results:
Other Publications:
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Responsible Party: | Bayer |
ClinicalTrials.gov Identifier: | NCT02540993 |
Other Study ID Numbers: |
16244 2015-000990-11 ( EudraCT Number ) |
First Posted: | September 4, 2015 Key Record Dates |
Results First Posted: | July 19, 2021 |
Last Update Posted: | July 19, 2021 |
Last Verified: | June 2021 |
Studies a U.S. FDA-regulated Drug Product: | Yes |
Studies a U.S. FDA-regulated Device Product: | No |
CKD Diabetic Kidney Disease Type 2 Diabetes Kidney diseases |
Kidney Diseases Renal Insufficiency, Chronic Diabetic Nephropathies Diabetes Mellitus Diabetes Mellitus, Type 2 Glucose Metabolism Disorders Metabolic Diseases Endocrine System Diseases Urologic Diseases |
Female Urogenital Diseases Female Urogenital Diseases and Pregnancy Complications Urogenital Diseases Male Urogenital Diseases Renal Insufficiency Chronic Disease Disease Attributes Pathologic Processes Diabetes Complications |