Study of TAK-875 in Adults With Type 2 Diabetes and Cardiovascular Disease or Risk Factors for Cardiovascular Disease
Study Details
Study Description
Brief Summary
The purpose of this study is to demonstrate no excess risk of cardiovascular (CV) composite events exists following long term treatment with TAK-875 compared with placebo.
Condition or Disease | Intervention/Treatment | Phase |
---|---|---|
|
Phase 3 |
Detailed Description
The drug being tested in this study is called TAK-875. TAK-875 is being tested to treat people who have diabetes. This study will look at the number of cardiovascular events (for example, heart attacks) of people who take TAK-875 in comparison to placebo in addition to standard care.
The study will enroll approximately 5000 patients. Participants will be randomly assigned (by chance, like flipping a coin) to one of the two treatment groups-which will remain undisclosed to the patient and study doctor during the study (unless there is an urgent medical need):
-
TAK-875 50 mg.
-
Placebo (dummy inactive pill) - this is a tablet that looks like the study drug but has no active ingredient.
All participants will be asked to take one tablet at the same time each day throughout the study. All participants will be asked to record any time they have low blood sugar symptoms in a diary.
This multi-centre trial will be conducted worldwide, in approximately 700 sites. The overall time to participate in this study is 6 years. Participants will make up to approximately 24 visits to the clinic, with telephone visits conducted on an alternate 6 month schedule starting from Month 27.
Due to potential concerns about liver safety, on balance, the benefits of treating patients with fasiglifam (TAK-875) do not outweigh the potential risks.
For this reason, Takeda has decided voluntarily to terminate the development activities for fasiglifam.
Study Design
Arms and Interventions
Arm | Intervention/Treatment |
---|---|
Experimental: TAK-875 50 mg TAK-875 50 mg tablets, orally, once daily for up to 6 years. |
Drug: TAK-875
TAK-875 tablets
|
Placebo Comparator: Placebo TAK-875 placebo-matching tablets, orally, once daily for up to 6 years. |
Drug: TAK-875 Placebo
TAK-875 placebo-matching tablets
|
Outcome Measures
Primary Outcome Measures
- Time to First Occurrence of Any Component of Primary Major Adverse Cardiovascular Event (MACE) Composite [Baseline up to end of study (up to Day 588)]
The time from randomization to the first occurrences of any event in the primary MACE composite was evaluated using Kaplan-Meier analysis. The primary MACE composite comprised cardiovascular (CV) death, nonfatal myocardial infarction (MI), nonfatal stroke, and hospitalization for unstable angina (with or without revascularization).
Secondary Outcome Measures
- Time to First Occurrence of Any Component of Secondary Major Adverse Cardiovascular Event (MACE) Composite [Baseline up to end of study (up to Day 588)]
The time from randomization to the first occurrences of any event in the secondary MACE composite was evaluated using Kaplan-Meier analysis. The secondary MACE composite comprised CV death, nonfatal MI, and nonfatal stroke.
Eligibility Criteria
Criteria
Inclusion Criteria:
-
In the opinion of the investigator, the patient is capable of understanding and complying with protocol requirements, including scheduled clinic appointments.
-
The patient or, when applicable, the patient's legally acceptable representative signs and dates a written, informed consent form and any required privacy authorization prior to the initiation of any study procedures.
-
Has a diagnosis of type 2 diabetes mellitus.
-
Has an glycosylated hemoglobin (HbA1c) level between 7.0% and 10.5%, inclusive, at Screening. HbA1c testing may be repeated once during Screening.
-
Meets at least one (1) of the following three (3) High Risk Categories (a-c ):
-
A documented history of myocardial infarction (MI) occurring no less than 2 months (60 days) and no greater than 24 months prior to Screening.
-
Documented symptomatic peripheral arterial disease (PAD) (at least one (1) of the following three (3) criteria must be satisfied): i) Current intermittent claudication together with documented ankle-brachial index ≤0.85. ii) History of previous vascular intervention for intermittent claudication or resting limb ischemia (example: amputation for arterial disease, peripheral bypass, or history of angioplasty/stenting). iii) History of symptomatic carotid artery disease (requiring revascularization with carotid endarterectomy (CEA) or stenting).
-
Documented cerebrovascular disease (at least one (1) of the following two (2) criteria must be satisfied): i) A history of transient ischemic attack (TIA) confirmed by a neurologist no greater than 24 months prior to screening and clinically and neurologically stable at randomization. ii) A history of ischemic stroke (IS) (with a Modified Rankin Scale Score ≤3 documented prior to Randomization) not less than 2 months (60 days) and no greater than 24 months prior to Screening, and clinically and neurologically stable at Randomization. The Modified Rankin Scale is located in appendix in protocol.
Or meets at least one (1) of the following five (5) Intermediate Risk Categories (d-h):
-
Stable angina with coronary disease documented by the presence of inducible ischemia or scar by stress myocardial perfusion imaging (MPI), echocardiogram or magnetic resonance imaging (MRI) in the past 24 months.
-
Multi vessel coronary disease, based on coronary angiography, with or without angina, documented by >50% diameter stenosis in at least 2 of the 3 major coronary distributions.
-
A history of percutaneous coronary intervention (PCI) or coronary artery bypass grafting (CABG) at least 2 months prior to Screening.
-
The subject has diabetic nephropathy plus (2) of the clinical criteria listed below (i. to vi.). Diabetic nephropathy is defined as either urinary albumin excretion ≥ 30 µg/mg creatinine (3.4 mg/mmol creatinine) (based on a random spot collection) or urinary albumin excretion ≥ 30 mg/24h (based on a 24 h or timed collection). Results must be confirmed on at least two specimens collected within 12 months prior to Screening and no more than 6 months apart: i)Duration of diabetes ≥ 10 years on pharmacological treatment documented within medical records. ii) Confirmed systolic blood pressure (SBP) ≥150 mm Hg on 2 separate days during Screening despite treatment with at least 2 anti-hypertensive medications administered at doses considered optimal by local standard of care.
- Presence of dyslipidemia as defined by any one (1) of the following confirmed at screening: A. Low density lipoprotein (LDL) > 100 mg/dl (2.59 mmol/L) while on statin therapy administered at maximum tolerated dose or optimal dose based on local standard of care for at least 4 weeks prior to screening. B. LDL > 130 mg/dL (3.37 mmol/L) when not on statin therapy. C. High density lipoprotein (HDL) < 40 mg/dL (1.04 mmol/L) in males or < 45 mg/dL (1.17 mmol/L) in females. D. Fasting Triglyceride >200 mg/dL(2.26 mmol/L). iv) Currently smoking >10 cigarettes per day at Screening. v) Male ≥65 years of age or female ≥70 years of age. vi) Highly selective C-reactive protein (hs-CRP) > 2.0 mg/L in the absence of intercurrent infection or acute process.
h.) The subject meets at least five (5) of the following clinical criteria: i.) Duration of diabetes ≥10 years on pharmacological treatment documented within medical records. ii) Confirmed systolic blood pressure (SBP) ≥150 mm Hg on 2 separate days during Screening despite treatment with at least 2 anti-hypertensive medications administered at doses considered optimal by local standard of care. iii) Presence of dyslipidemia as defined by any one (1) of the following confirmed at screening: A. Low density lipoprotein (LDL) > 100 mg/dl (2.59 mmol/L) while on statin therapy administered at maximum tolerated dose or optimal dose based on local standard of care for at least 4 weeks prior to screening. B. LDL > 130 mg/dL (3.37 mmol/L) when not on statin therapy. C. High density lipoprotein (HDL) < 40 mg/dL (1.04 mmol/L) in males or < 45 mg/dL (1.17 mmol/L) in females. D. Fasting Triglyceride >200 mg/dL(2.26 mmol/L).
- Currently smoking >10 cigarettes per day at Screening. v) Male ≥65 years of age or female ≥70 years of age. vi) Highly selective C-reactive protein (hs-CRP) > 2.0 mg/L in the absence of intercurrent infection or acute process.
-
Is able and willing to monitor glucose with a home glucose monitor and consistently record his or her own blood glucose concentrations in patient diaries.
-
A female of childbearing potential who is sexually active with a non-sterilized male partner agrees to routinely use adequate contraception from signing of informed consent throughout the duration of the study and for 30 days after the last dose of study drug.
-
Subjects with alanine aminotransferase (ALT) or aspartate aminotransferase (AST) ≤3x upper limit of normal (ULN) and if ALT or AST elevated above ULN, have chronic, well-compensated liver disease documented by usual clinical parameters.
Exclusion Criteria:
-
Has received any investigational medication within 30 days prior to Screening or any investigational antidiabetic medication or excluded medications within 3 months prior to Screening.
-
Has been randomized into a previous TAK-875 study.
-
Is an immediate family member, study site employee, or is in a dependant relationship with a study site employee who is involved in conduct of this study (eg, spouse, parent, biological or legally adopted child, or sibling) or may consent under duress
-
Is diagnosed with type 1 diabetes mellitus or latent autoimmune diabetes in adults.
-
Is hemodynamically unstable, including severe heart failure (New York Heart Association Class IV) at Screening.
-
Is hospitalized at the Screening Visit for the event associated with the CV inclusion criteria. (Patients who have been discharged from an acute hospital to a cardiac rehabilitation center or nursing home at the time of the Screening Visit or Randomization Visit are not excluded).
-
Has ALT and/or AST levels >3.0x ULN at Screening.
-
Has a total bilirubin level >ULN at Screening. Exception: if a patient has documented Gilbert's Syndrome, the patient will be allowed with an elevated bilirubin level per the investigator's discretion.
-
Has an glomerular filtration rate (estimated) (eGFR) ≤ 15 mL/min/1.73m2 based on Modification of Diet in Renal Disease (MDRD) calculation at Screening and is currently on dialysis or expected to start dialysis within the next 6 months.
-
Has uncontrolled thyroid disease, as determined by the investigator and/or clinical investigation.
-
Has a known history of infection with human immunodeficiency virus (HIV).
-
Has a known active infection with Hepatitis B virus (HBV), or Hepatitis C virus (HCV) requiring antiviral treatment.
-
Has a history of drug abuse (defined as illicit drug use) or a history of alcohol abuse within 2 years prior to Screening.
-
Has any major illness or condition that, in the investigator's opinion, prohibits the patient from participating in the study or meeting the planned visit schedule.
-
Has a history of hypersensitivity, allergies, or has had an anaphylactic reaction(s) to TAK-875.
-
If female, is pregnant (confirmed by laboratory testing, ie, serum or urine human chorionic gonadotropin (hCG), in females of childbearing potential) or lactating or intending to become pregnant before, during, or within 30 days after participating in this study; or intending to donate ova during such time period.
-
Is unable to understand verbal or written English or any other language for which a certified translation of the approved informed consent is available.
-
Has a history of cancer that has been in remission for <5 years prior to Screening. A history of basal cell carcinoma or Stage 1 squamous cell carcinoma of the skin is allowed.
Contacts and Locations
Locations
Site | City | State | Country | Postal Code | |
---|---|---|---|---|---|
1 | Birmingham | Alabama | United States | ||
2 | Dothan | Alabama | United States | ||
3 | Mobile | Alabama | United States | ||
4 | Muscle Shoals | Alabama | United States | ||
5 | Pell City | Alabama | United States | ||
6 | Goodyear | Arizona | United States | ||
7 | Phoenix | Arizona | United States | ||
8 | Tempe | Arizona | United States | ||
9 | Tucson | Arizona | United States | ||
10 | Little Rock | Arkansas | United States | ||
11 | Anaheim | California | United States | ||
12 | El Cajon | California | United States | ||
13 | Fresno | California | United States | ||
14 | Fullerton | California | United States | ||
15 | La Mesa | California | United States | ||
16 | Laguna Hills | California | United States | ||
17 | Los Angeles | California | United States | ||
18 | Mission Hills | California | United States | ||
19 | National City | California | United States | ||
20 | Newport Beach | California | United States | ||
21 | Orange | California | United States | ||
22 | Paramount | California | United States | ||
23 | Pismo Beach | California | United States | ||
24 | Redondo Beach | California | United States | ||
25 | San Diego | California | United States | ||
26 | San Francisco | California | United States | ||
27 | San Franciso | California | United States | ||
28 | Stockton | California | United States | ||
29 | Thousand Oaks | California | United States | ||
30 | Torrance | California | United States | ||
31 | Valley Village | California | United States | ||
32 | Westlake Village | California | United States | ||
33 | Denver | Colorado | United States | ||
34 | Lakewood | Colorado | United States | ||
35 | Bridgeport | Connecticut | United States | ||
36 | Danbury | Connecticut | United States | ||
37 | Seaford | Delaware | United States | ||
38 | Washington | District of Columbia | United States | ||
39 | Boynton Beach | Florida | United States | ||
40 | Brandon | Florida | United States | ||
41 | Chipley | Florida | United States | ||
42 | Clearwater | Florida | United States | ||
43 | Cocoa | Florida | United States | ||
44 | Coral Gables | Florida | United States | ||
45 | Coral Springs | Florida | United States | ||
46 | Crystal River | Florida | United States | ||
47 | Delray Beach | Florida | United States | ||
48 | Hialeah | Florida | United States | ||
49 | Hollywood | Florida | United States | ||
50 | Inverness | Florida | United States | ||
51 | Jacksonville Beach | Florida | United States | ||
52 | Jacksonville | Florida | United States | ||
53 | Melbourne | Florida | United States | ||
54 | Miami | Florida | United States | ||
55 | North Miami Beach | Florida | United States | ||
56 | Ocala | Florida | United States | ||
57 | Oviedo | Florida | United States | ||
58 | Pembroke Pines | Florida | United States | ||
59 | Sarasota | Florida | United States | ||
60 | St. Petersburg | Florida | United States | ||
61 | Tampa | Florida | United States | ||
62 | Trinity | Florida | United States | ||
63 | Vero Bearch | Florida | United States | ||
64 | Atlanta | Georgia | United States | ||
65 | Augusta | Georgia | United States | ||
66 | Calhoun | Georgia | United States | ||
67 | Conyers | Georgia | United States | ||
68 | Cumming | Georgia | United States | ||
69 | Norcross | Georgia | United States | ||
70 | Roswell | Georgia | United States | ||
71 | Suwanee | Georgia | United States | ||
72 | Woodstock | Georgia | United States | ||
73 | Chicago | Illinois | United States | ||
74 | LaGrange | Illinois | United States | ||
75 | Springfield | Illinois | United States | ||
76 | Anderson | Indiana | United States | ||
77 | Avon | Indiana | United States | ||
78 | Elkhart | Indiana | United States | ||
79 | Greenfield | Indiana | United States | ||
80 | Indianapolis | Indiana | United States | ||
81 | Muncie | Indiana | United States | ||
82 | Ames | Iowa | United States | ||
83 | Council Bluffs | Iowa | United States | ||
84 | Waterloo | Iowa | United States | ||
85 | Augusta | Kansas | United States | ||
86 | Hutchinson | Kansas | United States | ||
87 | Newton | Kansas | United States | ||
88 | Topeka | Kansas | United States | ||
89 | Wichita | Kansas | United States | ||
90 | Elizabethtown | Kentucky | United States | ||
91 | Marrero | Louisiana | United States | ||
92 | Monroe | Louisiana | United States | ||
93 | Natchitoches | Louisiana | United States | ||
94 | New Orleans | Louisiana | United States | ||
95 | Sherveport | Louisiana | United States | ||
96 | Portland | Maine | United States | ||
97 | Annapolis | Maryland | United States | ||
98 | Balitmore | Maryland | United States | ||
99 | Baltimore | Maryland | United States | ||
100 | Fall River | Massachusetts | United States | ||
101 | Hyannis | Massachusetts | United States | ||
102 | Natick | Massachusetts | United States | ||
103 | Springfield | Massachusetts | United States | ||
104 | Bay City | Michigan | United States | ||
105 | Cadillac | Michigan | United States | ||
106 | Flint | Michigan | United States | ||
107 | Kalamazoo | Michigan | United States | ||
108 | Mt. Clemens | Michigan | United States | ||
109 | Novi | Michigan | United States | ||
110 | Pontiac | Michigan | United States | ||
111 | Saginaw | Michigan | United States | ||
112 | Troy | Michigan | United States | ||
113 | Baxter | Minnesota | United States | ||
114 | St. Cloud | Minnesota | United States | ||
115 | St. Paul | Minnesota | United States | ||
116 | Columbia | Missouri | United States | ||
117 | Kansas City | Missouri | United States | ||
118 | St. Louis | Missouri | United States | ||
119 | Omaha | Nebraska | United States | ||
120 | Las Vegas | Nevada | United States | ||
121 | Nashua | New Hampshire | United States | ||
122 | Bridgewater | New Jersey | United States | ||
123 | Elizabeth | New Jersey | United States | ||
124 | Haddon Heights | New Jersey | United States | ||
125 | Linden | New Jersey | United States | ||
126 | Mine Hill | New Jersey | United States | ||
127 | Somerset | New Jersey | United States | ||
128 | South Plainfield | New Jersey | United States | ||
129 | Toms Rivers | New Jersey | United States | ||
130 | Albuquerque | New Mexico | United States | ||
131 | Brooklyn | New York | United States | ||
132 | Buffalo | New York | United States | ||
133 | Mineola | New York | United States | ||
134 | New York | New York | United States | ||
135 | Saratoga Springs | New York | United States | ||
136 | Smithtown | New York | United States | ||
137 | Syracuse | New York | United States | ||
138 | Burlington | North Carolina | United States | ||
139 | Calabash | North Carolina | United States | ||
140 | Charlotte | North Carolina | United States | ||
141 | Durham | North Carolina | United States | ||
142 | Greensboro | North Carolina | United States | ||
143 | Hickory | North Carolina | United States | ||
144 | Lenoir | North Carolina | United States | ||
145 | Mooresville | North Carolina | United States | ||
146 | Morganton | North Carolina | United States | ||
147 | Raleigh | North Carolina | United States | ||
148 | Rocky Mount | North Carolina | United States | ||
149 | Winston-Salem | North Carolina | United States | ||
150 | Akron | Ohio | United States | ||
151 | Canton | Ohio | United States | ||
152 | Cincinnati | Ohio | United States | ||
153 | Cleveland | Ohio | United States | ||
154 | Columbus | Ohio | United States | ||
155 | Fairview Park | Ohio | United States | ||
156 | Gallipolis | Ohio | United States | ||
157 | Kettering | Ohio | United States | ||
158 | Marion | Ohio | United States | ||
159 | Middleburg Heights | Ohio | United States | ||
160 | Perrysburg | Ohio | United States | ||
161 | Springfield | Ohio | United States | ||
162 | Toledo | Ohio | United States | ||
163 | Willoughby Hills | Ohio | United States | ||
164 | Norman | Oklahoma | United States | ||
165 | Oklahoma City | Oklahoma | United States | ||
166 | Tulsa | Oklahoma | United States | ||
167 | Portland | Oregon | United States | ||
168 | Chambersburg | Pennsylvania | United States | ||
169 | Hanleysville | Pennsylvania | United States | ||
170 | Harleysville | Pennsylvania | United States | ||
171 | Levittown | Pennsylvania | United States | ||
172 | Norristown | Pennsylvania | United States | ||
173 | Philadelphia | Pennsylvania | United States | ||
174 | Philadelphi | Pennsylvania | United States | ||
175 | Scotland | Pennsylvania | United States | ||
176 | Uniontown | Pennsylvania | United States | ||
177 | East Providence | Rhode Island | United States | ||
178 | Pawtucket | Rhode Island | United States | ||
179 | Columbia | South Carolina | United States | ||
180 | Greer | South Carolina | United States | ||
181 | Laurens | South Carolina | United States | ||
182 | Simpsonville | South Carolina | United States | ||
183 | Bristol | Tennessee | United States | ||
184 | Crossville | Tennessee | United States | ||
185 | Jackson | Tennessee | United States | ||
186 | Kingsport | Tennessee | United States | ||
187 | Nashville | Tennessee | United States | ||
188 | Oak Ridge | Tennessee | United States | ||
189 | Tullahoma | Tennessee | United States | ||
190 | Austin | Texas | United States | ||
191 | Carrollton | Texas | United States | ||
192 | Dallas | Texas | United States | ||
193 | Fort Worth | Texas | United States | ||
194 | Houston | Texas | United States | ||
195 | Irving | Texas | United States | ||
196 | Katy | Texas | United States | ||
197 | Midland | Texas | United States | ||
198 | Odessa | Texas | United States | ||
199 | Pearland | Texas | United States | ||
200 | San Antonio | Texas | United States | ||
201 | Spring | Texas | United States | ||
202 | Tomball | Texas | United States | ||
203 | Victoria | Texas | United States | ||
204 | Bountiful | Utah | United States | ||
205 | Layton | Utah | United States | ||
206 | Salt Lake City | Utah | United States | ||
207 | Alexandria | Virginia | United States | ||
208 | Danville | Virginia | United States | ||
209 | Falls Church | Virginia | United States | ||
210 | Hampton | Virginia | United States | ||
211 | Manassas | Virginia | United States | ||
212 | Wenatchee | Washington | United States | ||
213 | Huntington | West Virginia | United States | ||
214 | Lewisburg | West Virginia | United States | ||
215 | La Crosse | Wisconsin | United States | ||
216 | Madison | Wisconsin | United States | ||
217 | Milwaukee | Wisconsin | United States | ||
218 | Wauwatosa | Wisconsin | United States | ||
219 | Bahia Blanca | Buenos Aires | Argentina | ||
220 | Haedo | Buenos Aires | Argentina | ||
221 | La Plata | Buenos Aires | Argentina | ||
222 | Loma Hermosa | Buenos Aires | Argentina | ||
223 | Mar del Plata | Buenos Aires | Argentina | ||
224 | Quilmes | Buenos Aires | Argentina | ||
225 | San Nicolas | Buenos Aires | Argentina | ||
226 | Zarate | Buenos Aires | Argentina | ||
227 | Trelew | Chubut | Argentina | ||
228 | Ciudad Autonoma de Buenos Aires | Ciudad Autonoma Buenos Aires | Argentina | ||
229 | Córdoba | Cordoba | Argentina | ||
230 | Villa Cabrera | Cordoba | Argentina | ||
231 | Villa Maria | Cordoba | Argentina | ||
232 | San Salvador de Jujuy | Jujy | Argentina | ||
233 | Godoy Cruz | Mendoza | Argentina | ||
234 | Cipolletti | Rio Negro | Argentina | ||
235 | Rosario | Santa Fe | Argentina | ||
236 | Venado Tuerto | Santa Fe | Argentina | ||
237 | San Miguel de Tucuman | Tucuman | Argentina | ||
238 | Ciudad Autonoma Buenos Aires | Argentina | |||
239 | Cordoba | Argentina | |||
240 | Corrientes | Argentina | |||
241 | Mendoza | Argentina | |||
242 | Rosario | Argentina | |||
243 | Salta | Argentina | |||
244 | Santa Fe | Argentina | |||
245 | Santiago del estero | Argentina | |||
246 | Bruce | Australian Capital Territory | Australia | ||
247 | Canberra | Australian Capital Territory | Australia | ||
248 | Garran | Australian Capital Territory | Australia | ||
249 | Westmead | New South Wales | Australia | ||
250 | Wollongong | New South Wales | Australia | ||
251 | Brisbane | Queensland | Australia | ||
252 | Meadowbrook | Queensland | Australia | ||
253 | Milton | Queensland | Australia | ||
254 | Townsville | Queensland | Australia | ||
255 | Woolloongabba | Queensland | Australia | ||
256 | Adelaide | South Australia | Australia | ||
257 | Daw Park | South Australia | Australia | ||
258 | Elizabeth Vale | South Australia | Australia | ||
259 | Clayton | Victoria | Australia | ||
260 | Fitzroy | Victoria | Australia | ||
261 | Geelong | Victoria | Australia | ||
262 | Melbourne | Victoria | Australia | ||
263 | Sale | Victoria | Australia | ||
264 | Joondalup | Western Australia | Australia | ||
265 | Bruce | Australia | |||
266 | Garran | Australia | |||
267 | Fortaleza | Ceará | Brazil | ||
268 | Brasilia | Distrito Federal | Brazil | ||
269 | Goiania | Goiás | Brazil | ||
270 | Campina Grande do Sul | Paraná | Brazil | ||
271 | Curitiba | Paraná | Brazil | ||
272 | Belem | Pará | Brazil | ||
273 | Recife | Pernambuco | Brazil | ||
274 | Canoas | Rio Grande do Sul | Brazil | ||
275 | Caxias do Sul | Rio Grande do Sul | Brazil | ||
276 | Passo Fundo | Rio Grande do Sul | Brazil | ||
277 | Porto Alegre | Rio Grande do Sul | Brazil | ||
278 | Santa Maria | Rio Grande do Sul | Brazil | ||
279 | Marilia | Sao Paulo | Brazil | ||
280 | São Paulo | Sao Paulo | Brazil | ||
281 | Sao Paulo | Brazil | |||
282 | Blagoevgrad | Bulgaria | |||
283 | Byala | Bulgaria | |||
284 | Kazanlak | Bulgaria | |||
285 | Pazardzhik | Bulgaria | |||
286 | Plovdiv | Bulgaria | |||
287 | Sevlievo | Bulgaria | |||
288 | Sofia | Bulgaria | |||
289 | Stara Zagora | Bulgaria | |||
290 | Varna | Bulgaria | |||
291 | Calgary | Alberta | Canada | ||
292 | Spruce Grove | Alberta | Canada | ||
293 | Victoria | British Columbia | Canada | ||
294 | Winnipeg | Manitoba | Canada | ||
295 | Brampton | Ontario | Canada | ||
296 | Etobicoke | Ontario | Canada | ||
297 | Hamilton | Ontario | Canada | ||
298 | Markham | Ontario | Canada | ||
299 | Oakville | Ontario | Canada | ||
300 | Ottawa | Ontario | Canada | ||
301 | Sudbury | Ontario | Canada | ||
302 | Thornhill | Ontario | Canada | ||
303 | Toronto | Ontario | Canada | ||
304 | Gatineau | Quebec | Canada | ||
305 | Laval | Quebec | Canada | ||
306 | Longueuil | Quebec | Canada | ||
307 | Montreal | Quebec | Canada | ||
308 | Pointe Claire | Quebec | Canada | ||
309 | St-Jérôme | Quebec | Canada | ||
310 | Ville Saint-Laurent | Quebec | Canada | ||
311 | Quebec | Canada | |||
312 | Cakovec | Croatia | |||
313 | Karlovac | Croatia | |||
314 | Koprivnica | Croatia | |||
315 | Krapinske Toplice | Croatia | |||
316 | Osijek | Croatia | |||
317 | Rijeka | Croatia | |||
318 | Sisak | Croatia | |||
319 | Slavonski Brod | Croatia | |||
320 | Split | Croatia | |||
321 | Virovitica | Croatia | |||
322 | Zadar | Croatia | |||
323 | Zagreb | Croatia | |||
324 | Ceske Budejovice | Czech Republic | |||
325 | Chocen | Czech Republic | |||
326 | Jindrichuv Hradec | Czech Republic | |||
327 | Kromeriz | Czech Republic | |||
328 | Marianske Lazne | Czech Republic | |||
329 | Moravsky Krumlov | Czech Republic | |||
330 | Olomouc | Czech Republic | |||
331 | Ostrava - Moravska Ostrava | Czech Republic | |||
332 | Ostrava - Vitkovice | Czech Republic | |||
333 | Ostrava | Czech Republic | |||
334 | Prague 10 | Czech Republic | |||
335 | Praha 4 - Krc | Czech Republic | |||
336 | Praha 5 | Czech Republic | |||
337 | Slany | Czech Republic | |||
338 | Trutnov | Czech Republic | |||
339 | Usti nad Labem | Czech Republic | |||
340 | Paide | Estonia | |||
341 | Tallinn | Estonia | |||
342 | Tartu | Estonia | |||
343 | Corbeil Essonnes | Essonne | France | ||
344 | Corbeil Essonne | Essonne | France | ||
345 | Pessac | Gironde | France | ||
346 | Nanterre cedex | Hauts de Seine | France | ||
347 | Nantes cedex 01 | Loire Atlantique | France | ||
348 | Pierre-Bénite cedex | Rhone | France | ||
349 | Paris | France | |||
350 | Friedrichsthal | Baden Wuerttemberg | Germany | ||
351 | Falkensee | Brandenburg | Germany | ||
352 | Kelkheim | Hessen | Germany | ||
353 | Dortmund | Nordrhein Westfalen | Germany | ||
354 | Essen | Nordrhein Westfalen | Germany | ||
355 | Goch | Nordrhein Westfalen | Germany | ||
356 | Kamp-Lintfort | Nordrhein Westfalen | Germany | ||
357 | Koeln | Nordrhein Westfalen | Germany | ||
358 | Bad Kreuznach | Rheinland Pfalz | Germany | ||
359 | Hohenmoelsen | Sachsen Anhalt | Germany | ||
360 | Dippoldiswalde | Sachsen | Germany | ||
361 | Dresden | Sachsen | Germany | ||
362 | Berlin | Germany | |||
363 | Hamburg | Germany | |||
364 | Hong Kong | Hong Kong | |||
365 | New Territories | Hong Kong | |||
366 | Baja | Hungary | |||
367 | Balatonfured | Hungary | |||
368 | Budaors | Hungary | |||
369 | Budapest | Hungary | |||
370 | Debrecen | Hungary | |||
371 | Eger | Hungary | |||
372 | Godollo | Hungary | |||
373 | Gyula | Hungary | |||
374 | Kecskemet | Hungary | |||
375 | Kistelek | Hungary | |||
376 | Komarom | Hungary | |||
377 | Mako | Hungary | |||
378 | Pecs | Hungary | |||
379 | Szeged | Hungary | |||
380 | Szekszard | Hungary | |||
381 | Szikszo | Hungary | |||
382 | Szombathely | Hungary | |||
383 | Urhida | Hungary | |||
384 | Veszprem | Hungary | |||
385 | Zalaegerszeg | Hungary | |||
386 | Ashkelon | Israel | |||
387 | Beer Sheva | Israel | |||
388 | Beer Yaakov | Israel | |||
389 | Beer-Sheva | Israel | |||
390 | Givataim | Israel | |||
391 | Hadera | Israel | |||
392 | Haifa | Israel | |||
393 | Holon | Israel | |||
394 | Jerusalem | Israel | |||
395 | Kfar-Saba | Israel | |||
396 | Petach Tikva | Israel | |||
397 | Petach Tikwa | Israel | |||
398 | Raanana | Israel | |||
399 | Tel Aviv | Israel | |||
400 | Zefat | Israel | |||
401 | San Donato Milanese | Milano | Italy | ||
402 | Sesto San Giovanni | Milano | Italy | ||
403 | Firenze | Italy | |||
404 | Milano | Italy | |||
405 | Pavia | Italy | |||
406 | Wonju-Si | Gangwon-do | Korea, Republic of | ||
407 | Seongnam-si | Gyeonggi-do | Korea, Republic of | ||
408 | Yangsan-si | Gyeongsangnam-do | Korea, Republic of | ||
409 | Jeonju-si | Jeollabuk-do | Korea, Republic of | ||
410 | Busan | Korea, Republic of | |||
411 | Gyeonggi | Korea, Republic of | |||
412 | Seoul | Korea, Republic of | |||
413 | Daugavpils | Latvia | |||
414 | Jelgava | Latvia | |||
415 | Limbazi | Latvia | |||
416 | Ogre | Latvia | |||
417 | Riga | Latvia | |||
418 | Talsi | Latvia | |||
419 | Valmiera | Latvia | |||
420 | Alytus | Lithuania | |||
421 | Kaunas | Lithuania | |||
422 | Klaipeda | Lithuania | |||
423 | Johor Bahru | Johor | Malaysia | ||
424 | Alor Setar | Kedah | Malaysia | ||
425 | Kota Bahru | Kelantan | Malaysia | ||
426 | Kota Bharu | Kelantan | Malaysia | ||
427 | Lembah Pantai | Kuala Lumpur | Malaysia | ||
428 | Ipoh | Perak | Malaysia | ||
429 | Taiping, Perak | Perak | Malaysia | ||
430 | Taiping | Perak | Malaysia | ||
431 | Petaling Jaya | Selangor | Malaysia | ||
432 | Kelantan | Malaysia | |||
433 | Kuala Lumpur | Malaysia | |||
434 | Melaka | Malaysia | |||
435 | Selangor | Malaysia | |||
436 | Terengganu | Malaysia | |||
437 | Tijuana | Baja California Norte | Mexico | ||
438 | Torreon | Coahuila | Mexico | ||
439 | Cuauhtemoc | Distrito Federal | Mexico | ||
440 | Mexico | Distrito Federal | Mexico | ||
441 | Cuautitlan Izcalli | Estado de Mexico | Mexico | ||
442 | Metepec | Estado de Mexico | Mexico | ||
443 | Acapulco de Juárez | Guerrero | Mexico | ||
444 | Pachuca | Hidalgo | Mexico | ||
445 | Guadalajara | Jalisco | Mexico | ||
446 | Zapopan | Jalisco | Mexico | ||
447 | Morelia | Michoacán | Mexico | ||
448 | Cuernavaca | Morelos | Mexico | ||
449 | Monterrey | Nuevo Le=n | Mexico | ||
450 | Monterrey | Nuevo Leon | Mexico | ||
451 | Monterrey | Nuevo León | Mexico | ||
452 | San Luis Potosi | San Luis Potos | Mexico | ||
453 | Culiacan | Sinaloa | Mexico | ||
454 | Xalapa | Veracruz | Mexico | ||
455 | Merida | Yucatán | Mexico | ||
456 | Aguascalientes | Mexico | |||
457 | Chihuahua | Mexico | |||
458 | Durango | Mexico | |||
459 | Tamaulipas | Mexico | |||
460 | Auckland | New Zealand | |||
461 | Christchurch | New Zealand | |||
462 | Dunedin | New Zealand | |||
463 | Palmerston North | New Zealand | |||
464 | Tauranga | New Zealand | |||
465 | Wellington | New Zealand | |||
466 | Callao | Peru | |||
467 | Cusco | Peru | |||
468 | Huacho | Peru | |||
469 | Ica | Peru | |||
470 | La Libertad | Peru | |||
471 | Lima | Peru | |||
472 | Piura | Peru | |||
473 | Baguio City | Philippines | |||
474 | Cebu City | Philippines | |||
475 | Dasmariñas City, Cavite | Philippines | |||
476 | Davao City | Philippines | |||
477 | Iloilo City | Philippines | |||
478 | Marikina City | Philippines | |||
479 | Quezon City | Philippines | |||
480 | Tarlac | Philippines | |||
481 | Taytay | Philippines | |||
482 | Bialystok | Poland | |||
483 | Gdansk | Poland | |||
484 | Gliwice | Poland | |||
485 | Grodzisk Mazowiecki | Poland | |||
486 | Kamieniec Zabkowicki | Poland | |||
487 | Leczyca | Poland | |||
488 | Lodz | Poland | |||
489 | Lublin | Poland | |||
490 | Oswiecim | Poland | |||
491 | Parczew | Poland | |||
492 | Poznan | Poland | |||
493 | Pulawy | Poland | |||
494 | Radom | Poland | |||
495 | Ruda Slaska | Poland | |||
496 | Rzeszow | Poland | |||
497 | Warszawa | Poland | |||
498 | Wroclaw | Poland | |||
499 | Bacau | Romania | |||
500 | Baia Mare | Romania | |||
501 | Brasov | Romania | |||
502 | Bucuresti | Romania | |||
503 | Galati | Romania | |||
504 | Iasi | Romania | |||
505 | Oradea | Romania | |||
506 | Ploiesti | Romania | |||
507 | Targu Mures | Romania | |||
508 | Timisoara | Romania | |||
509 | Arkhangelsk | Russian Federation | |||
510 | Barnaul | Russian Federation | |||
511 | Kazan | Russian Federation | |||
512 | Kemerovo | Russian Federation | |||
513 | Moscow | Russian Federation | |||
514 | Nizhniy Novgorod | Russian Federation | |||
515 | Novosibirsk | Russian Federation | |||
516 | Pushkin | Russian Federation | |||
517 | Saratov | Russian Federation | |||
518 | St. Petersburg | Russian Federation | |||
519 | Yaroslavl | Russian Federation | |||
520 | Bratislava | Slovakia | |||
521 | Komarno | Slovakia | |||
522 | Kosice | Slovakia | |||
523 | Levice | Slovakia | |||
524 | Lucenec | Slovakia | |||
525 | Martin | Slovakia | |||
526 | Nitra | Slovakia | |||
527 | Nove Mesto nad Vahom | Slovakia | |||
528 | Presov | Slovakia | |||
529 | Sahy | Slovakia | |||
530 | Svidnik | Slovakia | |||
531 | Trencin | Slovakia | |||
532 | Zilina | Slovakia | |||
533 | Port Elizabeth | Eastern Cape | South Africa | ||
534 | Bloemfontein | Free State | South Africa | ||
535 | Johannesburg | Gauteng | South Africa | ||
536 | Kempton Park | Gauteng | South Africa | ||
537 | Krugersdorp | Gauteng | South Africa | ||
538 | Lenasia | Gauteng | South Africa | ||
539 | Pretoria | Gauteng | South Africa | ||
540 | Durban | KwaZulu-Natal | South Africa | ||
541 | Cape Town | Western Cape | South Africa | ||
542 | Stellenbosch | Western Cape | South Africa | ||
543 | Worcester | Western Cape | South Africa | ||
544 | Douliou City | Taiwan | |||
545 | Kaohsiung | Taiwan | |||
546 | New Taipei City | Taiwan | |||
547 | Taichung | Taiwan | |||
548 | Tainan | Taiwan | |||
549 | Taipei | Taiwan | |||
550 | Bangkoknoi | Bangkok | Thailand | ||
551 | Dusit | Bangkok | Thailand | ||
552 | Patumwan | Bangkok | Thailand | ||
553 | Rachathevi | Bangkok | Thailand | ||
554 | Rajtevi | Bangkok | Thailand | ||
555 | Ratchathewi | Bangkok | Thailand | ||
556 | Muang | Chiang Mai | Thailand | ||
557 | Muang | Chiang Rai | Thailand | ||
558 | Muang | Khon Kaen | Thailand | ||
559 | Muang | Nakhon Ratchasima | Thailand | ||
560 | Donetsk | Ukraine | |||
561 | Kharkiv | Ukraine | |||
562 | Kyiv | Ukraine | |||
563 | Lugansk | Ukraine | |||
564 | Mykolayiv | Ukraine | |||
565 | Odesa | Ukraine | |||
566 | Poltava | Ukraine | |||
567 | Simferopol | Ukraine | |||
568 | Ternopil | Ukraine | |||
569 | Vinnycia | Ukraine | |||
570 | Vinnytsia | Ukraine | |||
571 | Zaporizhzhia | Ukraine | |||
572 | Truro | Cornwall | United Kingdom | ||
573 | Exeter | Devon | United Kingdom | ||
574 | Plymouth | Devon | United Kingdom | ||
575 | Torquay | Devon | United Kingdom | ||
576 | Hull | East Riding of Yorkshire | United Kingdom | ||
577 | Bexhill on Sea | East Sussex | United Kingdom | ||
578 | Portsmouth | Hampshire | United Kingdom | ||
579 | Watford | Hertfordshire | United Kingdom | ||
580 | Gillingham | Kent | United Kingdom | ||
581 | Thornton-Cleveleys | Lancashire | United Kingdom | ||
582 | Leicester | Leicestershire | United Kingdom | ||
583 | Liverpool | Merseyside | United Kingdom | ||
584 | Harrow | Middlesex | United Kingdom | ||
585 | Northwood | Middlesex | United Kingdom | ||
586 | Stoke on Trent | Staffordshire | United Kingdom | ||
587 | Swansea | West Glamorgan | United Kingdom | ||
588 | Cardiff | United Kingdom |
Sponsors and Collaborators
- Takeda
Investigators
- Study Director: Sr. Medical Director Clinical Science, Takeda
Study Documents (Full-Text)
None provided.More Information
Publications
None provided.- TAK-875_306
- 2011-001732-37
- U1111-1129-7824
- TAK-875_306CTIL
- DOH-27-0313-4117
- 12/SC/0504
- NMRR-12-433-12087
- PHRR130916-000119
- 1015031332
Study Results
Participant Flow
Recruitment Details | Participants took part in the study at 469 investigative sites in 31 countries; 192 sites in North America, 175 in the Europe, Middle East, and Africa (EMEA) region (including Russia, Ukraine, Israel, and South Africa), 65 in the Asia Pacific region, and 37 in Latin/South America from 01 June 2012 to 05 May 2014. |
---|---|
Pre-assignment Detail | Participants with a historical diagnosis of type 2 diabetes mellitus (T2DM) and clinically-evident cardiovascular (CV) disease or multiple risk factors for CV events who were inadequately controlled while receiving the standard of care were enrolled in 1 of 2 treatment groups: placebo; fasiglifam 50 milligram (mg). |
Arm/Group Title | Placebo | Fasiglifam 50 mg |
---|---|---|
Arm/Group Description | Fasiglifam placebo-matching tablet, orally, once daily for up to 588 days. | Fasiglifam 50 mg, tablet, orally, once daily for up to 582 days. |
Period Title: Overall Study | ||
STARTED | 1603 | 1604 |
Treated | 1603 | 1601 |
COMPLETED | 0 | 0 |
NOT COMPLETED | 1603 | 1604 |
Baseline Characteristics
Arm/Group Title | Placebo | Fasiglifam 50 mg | Total |
---|---|---|---|
Arm/Group Description | Fasiglifam placebo-matching tablet, orally, once daily for up to 588 days. | Fasiglifam 50 mg, tablet, orally, once daily for up to 582 days. | Total of all reporting groups |
Overall Participants | 1603 | 1604 | 3207 |
Age (years) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [years] |
63.9
(9.03)
|
63.4
(9.20)
|
63.7
(9.12)
|
Age, Customized (participants) [Number] | |||
Less than (<) 65 years |
794
49.5%
|
851
53.1%
|
1645
51.3%
|
Greater than or equal to (>=) 65 years |
809
50.5%
|
753
46.9%
|
1562
48.7%
|
Sex: Female, Male (Count of Participants) | |||
Female |
543
33.9%
|
563
35.1%
|
1106
34.5%
|
Male |
1060
66.1%
|
1041
64.9%
|
2101
65.5%
|
Ethnicity (NIH/OMB) (Count of Participants) | |||
Hispanic or Latino |
150
9.4%
|
119
7.4%
|
269
8.4%
|
Not Hispanic or Latino |
446
27.8%
|
477
29.7%
|
923
28.8%
|
Unknown or Not Reported |
1007
62.8%
|
1008
62.8%
|
2015
62.8%
|
Race/Ethnicity, Customized (participants) [Number] | |||
American Indian or Alaska Native |
47
2.9%
|
41
2.6%
|
88
2.7%
|
Asian |
199
12.4%
|
205
12.8%
|
404
12.6%
|
Native Hawaiian or Other Pacific Islander |
6
0.4%
|
7
0.4%
|
13
0.4%
|
Black or African American |
79
4.9%
|
95
5.9%
|
174
5.4%
|
White |
1265
78.9%
|
1246
77.7%
|
2511
78.3%
|
Multiracial/More than 1 race |
7
0.4%
|
10
0.6%
|
17
0.5%
|
Height (centimeter (cm)) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [centimeter (cm)] |
168.1
(9.84)
|
167.6
(10.54)
|
167.8
(10.20)
|
Weight (kilogram (kg)) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [kilogram (kg)] |
91.14
(19.832)
|
91.40
(21.319)
|
91.27
(20.586)
|
Body Mass Index (BMI) (kilogram per square meter (kg/m^2)) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [kilogram per square meter (kg/m^2)] |
32.14
(6.107)
|
32.45
(7.497)
|
32.30
(6.838)
|
Glycosylated Hemoglobin (HbA1c) Category (participants) [Number] | |||
<8.5 percent (%) |
988
61.6%
|
936
58.4%
|
1924
60%
|
>=8.5% |
615
38.4%
|
668
41.6%
|
1283
40%
|
Smoking Classification (participants) [Number] | |||
Never smoked |
667
41.6%
|
668
41.6%
|
1335
41.6%
|
Current smoker |
330
20.6%
|
328
20.4%
|
658
20.5%
|
Ex-smoker |
606
37.8%
|
608
37.9%
|
1214
37.9%
|
Duration of Diabetes (years) [Mean (Standard Deviation) ] | |||
Mean (Standard Deviation) [years] |
13.583
(8.409)
|
13.333
(8.321)
|
13.458
(8.365)
|
Region of Enrollment (participants) [Number] | |||
Argentina |
121
7.5%
|
121
7.5%
|
242
7.5%
|
Australia |
34
2.1%
|
35
2.2%
|
69
2.2%
|
Bulgaria |
21
1.3%
|
22
1.4%
|
43
1.3%
|
Canada |
104
6.5%
|
107
6.7%
|
211
6.6%
|
Croatia |
16
1%
|
17
1.1%
|
33
1%
|
Czech Republic |
56
3.5%
|
56
3.5%
|
112
3.5%
|
Estonia |
13
0.8%
|
11
0.7%
|
24
0.7%
|
France |
3
0.2%
|
4
0.2%
|
7
0.2%
|
Germany |
30
1.9%
|
30
1.9%
|
60
1.9%
|
Hong Kong |
29
1.8%
|
29
1.8%
|
58
1.8%
|
Hungary |
74
4.6%
|
72
4.5%
|
146
4.6%
|
Israel |
25
1.6%
|
26
1.6%
|
51
1.6%
|
Italy |
3
0.2%
|
3
0.2%
|
6
0.2%
|
Korea, Republic of |
29
1.8%
|
27
1.7%
|
56
1.7%
|
Latvia |
11
0.7%
|
11
0.7%
|
22
0.7%
|
Lithuania |
15
0.9%
|
15
0.9%
|
30
0.9%
|
Malaysia |
30
1.9%
|
31
1.9%
|
61
1.9%
|
Mexico |
26
1.6%
|
26
1.6%
|
52
1.6%
|
New Zealand |
20
1.2%
|
20
1.2%
|
40
1.2%
|
Peru |
18
1.1%
|
17
1.1%
|
35
1.1%
|
Philippines |
25
1.6%
|
24
1.5%
|
49
1.5%
|
Poland |
118
7.4%
|
118
7.4%
|
236
7.4%
|
Romania |
5
0.3%
|
4
0.2%
|
9
0.3%
|
Russian Federation |
25
1.6%
|
23
1.4%
|
48
1.5%
|
Slovakia |
31
1.9%
|
31
1.9%
|
62
1.9%
|
South Africa |
10
0.6%
|
10
0.6%
|
20
0.6%
|
Taiwan, Province of China |
31
1.9%
|
31
1.9%
|
62
1.9%
|
Thailand |
29
1.8%
|
32
2%
|
61
1.9%
|
Ukraine |
76
4.7%
|
76
4.7%
|
152
4.7%
|
United Kingdom |
16
1%
|
16
1%
|
32
1%
|
United States |
559
34.9%
|
559
34.9%
|
1118
34.9%
|
Outcome Measures
Title | Time to First Occurrence of Any Component of Primary Major Adverse Cardiovascular Event (MACE) Composite |
---|---|
Description | The time from randomization to the first occurrences of any event in the primary MACE composite was evaluated using Kaplan-Meier analysis. The primary MACE composite comprised cardiovascular (CV) death, nonfatal myocardial infarction (MI), nonfatal stroke, and hospitalization for unstable angina (with or without revascularization). |
Time Frame | Baseline up to end of study (up to Day 588) |
Outcome Measure Data
Analysis Population Description |
---|
Full Analysis Set (FAS) included all randomized participants who had baseline and at least 1 post-baseline assessment. |
Arm/Group Title | Placebo | Fasiglifam 50 mg |
---|---|---|
Arm/Group Description | Fasiglifam placebo-matching tablet, orally, once daily for up to 588 days. | Fasiglifam 50 mg, tablet, orally, once daily for up to 582 days. |
Measure Participants | 1603 | 1604 |
Median (95% Confidence Interval) [days] |
NA
|
NA
|
Title | Time to First Occurrence of Any Component of Secondary Major Adverse Cardiovascular Event (MACE) Composite |
---|---|
Description | The time from randomization to the first occurrences of any event in the secondary MACE composite was evaluated using Kaplan-Meier analysis. The secondary MACE composite comprised CV death, nonfatal MI, and nonfatal stroke. |
Time Frame | Baseline up to end of study (up to Day 588) |
Outcome Measure Data
Analysis Population Description |
---|
Full Analysis Set (FAS) included all randomized participants who had baseline and at least 1 post-baseline assessment. |
Arm/Group Title | Placebo | Fasiglifam 50 mg |
---|---|---|
Arm/Group Description | Fasiglifam placebo-matching tablet, orally, once daily for up to 588 days. | Fasiglifam 50 mg, tablet, orally, once daily for up to 582 days. |
Measure Participants | 1603 | 1604 |
Median (95% Confidence Interval) [days] |
NA
|
NA
|
Adverse Events
Time Frame | Treatment-emergent adverse events are adverse events that started after the first dose of double-blind study drug and no more than 30 days after the last dose of double-blind study drug. | |||
---|---|---|---|---|
Adverse Event Reporting Description | At each visit the investigator had to document any occurrence of adverse events and abnormal laboratory findings. Any event spontaneously reported by the participant or observed by the investigator was recorded, irrespective of the relation to study treatment. | |||
Arm/Group Title | Placebo | Fasiglifam 50 mg | ||
Arm/Group Description | Fasiglifam placebo-matching tablet, orally, once daily for up to 588 days. | Fasiglifam 50 mg, tablet, orally, once daily for up to 582 days. | ||
All Cause Mortality |
||||
Placebo | Fasiglifam 50 mg | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | / (NaN) | / (NaN) | ||
Serious Adverse Events |
||||
Placebo | Fasiglifam 50 mg | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 197/1603 (12.3%) | 201/1601 (12.6%) | ||
Blood and lymphatic system disorders | ||||
Anaemia | 1/1603 (0.1%) | 3/1601 (0.2%) | ||
Cardiac disorders | ||||
Atrioventricular block first degree | 3/1603 (0.2%) | 3/1601 (0.2%) | ||
Atrioventricular block | 0/1603 (0%) | 1/1601 (0.1%) | ||
Atrioventricular block complete | 1/1603 (0.1%) | 0/1601 (0%) | ||
Cardiac disorder | 1/1603 (0.1%) | 0/1601 (0%) | ||
Intracardiac thrombus | 0/1603 (0%) | 1/1601 (0.1%) | ||
Ischaemic cardiomyopathy | 0/1603 (0%) | 1/1601 (0.1%) | ||
Coronary artery disease | 7/1603 (0.4%) | 6/1601 (0.4%) | ||
Coronary artery occlusion | 0/1603 (0%) | 2/1601 (0.1%) | ||
Cardiac failure congestive | 7/1603 (0.4%) | 12/1601 (0.7%) | ||
Cardiac failure chronic | 0/1603 (0%) | 1/1601 (0.1%) | ||
Acute myocardial infarction | 9/1603 (0.6%) | 12/1601 (0.7%) | ||
Arteriosclerosis coronary artery | 1/1603 (0.1%) | 0/1601 (0%) | ||
Cardiac failure | 2/1603 (0.1%) | 4/1601 (0.2%) | ||
Cardiogenic shock | 0/1603 (0%) | 1/1601 (0.1%) | ||
Angina pectoris | 7/1603 (0.4%) | 9/1601 (0.6%) | ||
Angina unstable | 5/1603 (0.3%) | 7/1601 (0.4%) | ||
Myocardial infarction | 5/1603 (0.3%) | 4/1601 (0.2%) | ||
Acute coronary syndrome | 3/1603 (0.2%) | 3/1601 (0.2%) | ||
Myocardial ischaemia | 4/1603 (0.2%) | 1/1601 (0.1%) | ||
Left ventricular failure | 1/1603 (0.1%) | 0/1601 (0%) | ||
Mitral valve incompetence | 1/1603 (0.1%) | 0/1601 (0%) | ||
Arrhythmia | 0/1603 (0%) | 3/1601 (0.2%) | ||
Right ventricular failure | 1/1603 (0.1%) | 0/1601 (0%) | ||
Atrial fibrillation | 4/1603 (0.2%) | 1/1601 (0.1%) | ||
Sinus bradycardia | 1/1603 (0.1%) | 0/1601 (0%) | ||
Cardiac arrest | 1/1603 (0.1%) | 4/1601 (0.2%) | ||
Cardio-respiratory arrest | 2/1603 (0.1%) | 1/1601 (0.1%) | ||
Ear and labyrinth disorders | ||||
Vertigo | 0/1603 (0%) | 2/1601 (0.1%) | ||
Endocrine disorders | ||||
Pituitary haemorrhage | 1/1603 (0.1%) | 0/1601 (0%) | ||
Eye disorders | ||||
Cataract | 1/1603 (0.1%) | 0/1601 (0%) | ||
Retinal haemorrhage | 1/1603 (0.1%) | 0/1601 (0%) | ||
Diabetic retinopathy | 1/1603 (0.1%) | 0/1601 (0%) | ||
Gastrointestinal disorders | ||||
Abdominal hernia | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pancreatitis | 2/1603 (0.1%) | 0/1601 (0%) | ||
Pancreatitis acute | 0/1603 (0%) | 1/1601 (0.1%) | ||
Large intestine polyp | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Colitis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Diarrhoea | 1/1603 (0.1%) | 0/1601 (0%) | ||
Diverticulum | 1/1603 (0.1%) | 0/1601 (0%) | ||
Small intestinal obstruction | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Duodenal ulcer | 0/1603 (0%) | 2/1601 (0.1%) | ||
Obstruction gastric | 0/1603 (0%) | 1/1601 (0.1%) | ||
Gastritis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Gastroduodenitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Abdominal pain | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Abdominal pain upper | 0/1603 (0%) | 1/1601 (0.1%) | ||
Constipation | 0/1603 (0%) | 1/1601 (0.1%) | ||
Duodenitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Abdominal discomfort | 0/1603 (0%) | 1/1601 (0.1%) | ||
Haemorrhoids | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Rectal haemorrhage | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Anal haemorrhage | 1/1603 (0.1%) | 0/1601 (0%) | ||
Nausea | 0/1603 (0%) | 1/1601 (0.1%) | ||
Gastrointestinal haemorrhage | 2/1603 (0.1%) | 3/1601 (0.2%) | ||
Haematemesis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Haematochezia | 1/1603 (0.1%) | 0/1601 (0%) | ||
Oesophageal stenosis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pancreatic calcification | 1/1603 (0.1%) | 0/1601 (0%) | ||
General disorders | ||||
Medical device pain | 1/1603 (0.1%) | 0/1601 (0%) | ||
Death | 1/1603 (0.1%) | 0/1601 (0%) | ||
Sudden death | 1/1603 (0.1%) | 0/1601 (0%) | ||
Device malfunction | 0/1603 (0%) | 2/1601 (0.1%) | ||
Local swelling | 0/1603 (0%) | 1/1601 (0.1%) | ||
Oedema peripheral | 1/1603 (0.1%) | 0/1601 (0%) | ||
Chest pain | 6/1603 (0.4%) | 8/1601 (0.5%) | ||
Non-cardiac chest pain | 3/1603 (0.2%) | 4/1601 (0.2%) | ||
Chest discomfort | 1/1603 (0.1%) | 0/1601 (0%) | ||
Hepatobiliary disorders | ||||
Cholecystitis | 1/1603 (0.1%) | 3/1601 (0.2%) | ||
Cholelithiasis | 2/1603 (0.1%) | 2/1601 (0.1%) | ||
Cholecystitis acute | 2/1603 (0.1%) | 0/1601 (0%) | ||
Jaundice cholestatic | 0/1603 (0%) | 1/1601 (0.1%) | ||
Hepatic mass | 1/1603 (0.1%) | 0/1601 (0%) | ||
Infections and infestations | ||||
Gastroenteritis | 1/1603 (0.1%) | 4/1601 (0.2%) | ||
Appendicitis | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Diverticulitis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Cellulitis | 2/1603 (0.1%) | 6/1601 (0.4%) | ||
Gangrene | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Diabetic gangrene | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Osteomyelitis | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Intervertebral discitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Extradural abscess | 1/1603 (0.1%) | 0/1601 (0%) | ||
Clostridium difficile colitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Abscess | 0/1603 (0%) | 1/1601 (0.1%) | ||
Abscess limb | 1/1603 (0.1%) | 0/1601 (0%) | ||
Wound infection | 1/1603 (0.1%) | 0/1601 (0%) | ||
Influenza | 1/1603 (0.1%) | 0/1601 (0%) | ||
Pneumonia | 5/1603 (0.3%) | 7/1601 (0.4%) | ||
Bronchitis | 1/1603 (0.1%) | 3/1601 (0.2%) | ||
Lung infection | 0/1603 (0%) | 1/1601 (0.1%) | ||
Sepsis | 2/1603 (0.1%) | 3/1601 (0.2%) | ||
Urosepsis | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Diabetic foot infection | 1/1603 (0.1%) | 0/1601 (0%) | ||
Infected skin ulcer | 1/1603 (0.1%) | 0/1601 (0%) | ||
Paronychia | 0/1603 (0%) | 1/1601 (0.1%) | ||
Staphylococcal bacteraemia | 1/1603 (0.1%) | 0/1601 (0%) | ||
Staphylococcal infection | 0/1603 (0%) | 1/1601 (0.1%) | ||
Erysipelas | 0/1603 (0%) | 1/1601 (0.1%) | ||
Streptococcal infection | 1/1603 (0.1%) | 0/1601 (0%) | ||
Streptococcal urinary tract infection | 1/1603 (0.1%) | 0/1601 (0%) | ||
Pulmonary tuberculosis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Laryngitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Upper respiratory tract infection | 0/1603 (0%) | 1/1601 (0.1%) | ||
Urinary tract infection | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Gastrointestinal viral infection | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pneumonia viral | 1/1603 (0.1%) | 0/1601 (0%) | ||
Injury, poisoning and procedural complications | ||||
Postpericardiotomy syndrome | 1/1603 (0.1%) | 0/1601 (0%) | ||
Vascular pseudoaneurysm | 1/1603 (0.1%) | 0/1601 (0%) | ||
Subdural haematoma | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Joint dislocation | 1/1603 (0.1%) | 0/1601 (0%) | ||
Traumatic fracture | 0/1603 (0%) | 1/1601 (0.1%) | ||
Ankle fracture | 2/1603 (0.1%) | 2/1601 (0.1%) | ||
Hip fracture | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Femur fracture | 1/1603 (0.1%) | 0/1601 (0%) | ||
Foot fracture | 1/1603 (0.1%) | 0/1601 (0%) | ||
Tibia fracture | 0/1603 (0%) | 1/1601 (0.1%) | ||
Tendon injury | 1/1603 (0.1%) | 0/1601 (0%) | ||
Fall | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Incisional hernia | 0/1603 (0%) | 1/1601 (0.1%) | ||
Post procedural complication | 1/1603 (0.1%) | 0/1601 (0%) | ||
Wound dehiscence | 1/1603 (0.1%) | 0/1601 (0%) | ||
Accidental overdose | 1/1603 (0.1%) | 0/1601 (0%) | ||
Contusion | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Laceration | 1/1603 (0.1%) | 0/1601 (0%) | ||
Lumbar vertebral fracture | 0/1603 (0%) | 1/1601 (0.1%) | ||
Humerus fracture | 1/1603 (0.1%) | 0/1601 (0%) | ||
Wrist fracture | 1/1603 (0.1%) | 0/1601 (0%) | ||
Investigations | ||||
Blood glucose increased | 1/1603 (0.1%) | 0/1601 (0%) | ||
International normalised ratio increased | 0/1603 (0%) | 1/1601 (0.1%) | ||
Electrocardiogram ST segment elevation | 1/1603 (0.1%) | 0/1601 (0%) | ||
Angiogram | 0/1603 (0%) | 1/1601 (0.1%) | ||
Metabolism and nutrition disorders | ||||
Diabetes mellitus inadequate control | 2/1603 (0.1%) | 1/1601 (0.1%) | ||
Type 2 diabetes mellitus | 0/1603 (0%) | 1/1601 (0.1%) | ||
Diabetic ketoacidosis | 2/1603 (0.1%) | 0/1601 (0%) | ||
Hyperglycaemia | 4/1603 (0.2%) | 1/1601 (0.1%) | ||
Hypoglycaemia | 4/1603 (0.2%) | 5/1601 (0.3%) | ||
Fluid overload | 0/1603 (0%) | 1/1601 (0.1%) | ||
Musculoskeletal and connective tissue disorders | ||||
Bursitis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Polymyalgia rheumatica | 0/1603 (0%) | 1/1601 (0.1%) | ||
Gouty arthritis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Intervertebral disc degeneration | 1/1603 (0.1%) | 0/1601 (0%) | ||
Intervertebral disc protrusion | 1/1603 (0.1%) | 0/1601 (0%) | ||
Back pain | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Neck pain | 0/1603 (0%) | 1/1601 (0.1%) | ||
Spinal pain | 1/1603 (0.1%) | 0/1601 (0%) | ||
Osteoarthritis | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Spinal osteoarthritis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Spinal column stenosis | 0/1603 (0%) | 2/1601 (0.1%) | ||
Spondylolisthesis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Neoplasms benign, malignant and unspecified (incl cysts and polyps) | ||||
Cholangiocarcinoma | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Bone cancer metastatic | 1/1603 (0.1%) | 0/1601 (0%) | ||
Invasive ductal breast carcinoma | 1/1603 (0.1%) | 0/1601 (0%) | ||
Adenocarcinoma gastric | 1/1603 (0.1%) | 0/1601 (0%) | ||
Gastric cancer stage IV | 0/1603 (0%) | 1/1601 (0.1%) | ||
Large intestine benign neoplasm | 1/1603 (0.1%) | 0/1601 (0%) | ||
Hepatic cancer | 1/1603 (0.1%) | 0/1601 (0%) | ||
Hepatocellular carcinoma | 1/1603 (0.1%) | 0/1601 (0%) | ||
Metastatic neoplasm | 0/1603 (0%) | 1/1601 (0.1%) | ||
Metastatic squamous cell carcinoma | 0/1603 (0%) | 1/1601 (0.1%) | ||
Brain neoplasm | 0/1603 (0%) | 1/1601 (0.1%) | ||
Non-small cell lung cancer | 1/1603 (0.1%) | 0/1601 (0%) | ||
Squamous cell carcinoma of lung | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pancreatic carcinoma | 1/1603 (0.1%) | 0/1601 (0%) | ||
Prostate cancer | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Rectosigmoid cancer | 0/1603 (0%) | 1/1601 (0.1%) | ||
Lung neoplasm malignant | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Malignant melanoma | 0/1603 (0%) | 1/1601 (0.1%) | ||
Metastatic malignant melanoma | 0/1603 (0%) | 1/1601 (0.1%) | ||
Transitional cell carcinoma | 1/1603 (0.1%) | 0/1601 (0%) | ||
Bladder neoplasm | 0/1603 (0%) | 1/1601 (0.1%) | ||
Uterine cancer | 0/1603 (0%) | 1/1601 (0.1%) | ||
Nervous system disorders | ||||
Dementia Alzheimer's type | 0/1603 (0%) | 1/1601 (0.1%) | ||
Cerebrovascular accident | 7/1603 (0.4%) | 1/1601 (0.1%) | ||
Ischaemic stroke | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Cerebral infarction | 0/1603 (0%) | 1/1601 (0.1%) | ||
Embolic stroke | 1/1603 (0.1%) | 0/1601 (0%) | ||
Haemorrhagic stroke | 1/1603 (0.1%) | 0/1601 (0%) | ||
Carotid arteriosclerosis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Syncope | 5/1603 (0.3%) | 3/1601 (0.2%) | ||
Encephalopathy | 0/1603 (0%) | 1/1601 (0.1%) | ||
VIIth nerve paralysis | 0/1603 (0%) | 2/1601 (0.1%) | ||
Carpal tunnel syndrome | 1/1603 (0.1%) | 0/1601 (0%) | ||
Dizziness | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Epilepsy | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Central pain syndrome | 1/1603 (0.1%) | 0/1601 (0%) | ||
Transient ischaemic attack | 1/1603 (0.1%) | 3/1601 (0.2%) | ||
Psychiatric disorders | ||||
Delusion | 1/1603 (0.1%) | 0/1601 (0%) | ||
Depression | 1/1603 (0.1%) | 0/1601 (0%) | ||
Mental status changes | 0/1603 (0%) | 1/1601 (0.1%) | ||
Psychogenic seizure | 0/1603 (0%) | 1/1601 (0.1%) | ||
Suicidal ideation | 0/1603 (0%) | 1/1601 (0.1%) | ||
Renal and urinary disorders | ||||
Urinary retention | 0/1603 (0%) | 1/1601 (0.1%) | ||
Bladder prolapse | 0/1603 (0%) | 1/1601 (0.1%) | ||
Renal failure acute | 6/1603 (0.4%) | 11/1601 (0.7%) | ||
Renal failure | 4/1603 (0.2%) | 6/1601 (0.4%) | ||
Renal failure chronic | 2/1603 (0.1%) | 1/1601 (0.1%) | ||
Prerenal failure | 1/1603 (0.1%) | 0/1601 (0%) | ||
Nephrolithiasis | 1/1603 (0.1%) | 0/1601 (0%) | ||
Renal infarct | 0/1603 (0%) | 1/1601 (0.1%) | ||
Calculus ureteric | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Reproductive system and breast disorders | ||||
Prostatitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Respiratory, thoracic and mediastinal disorders | ||||
Dyspnoea | 0/1603 (0%) | 2/1601 (0.1%) | ||
Respiratory distress | 1/1603 (0.1%) | 0/1601 (0%) | ||
Sleep apnoea syndrome | 1/1603 (0.1%) | 0/1601 (0%) | ||
Chronic obstructive pulmonary disease | 2/1603 (0.1%) | 2/1601 (0.1%) | ||
Asthma | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pneumonia aspiration | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pleuritic pain | 1/1603 (0.1%) | 0/1601 (0%) | ||
Hypoxia | 1/1603 (0.1%) | 0/1601 (0%) | ||
Interstitial lung disease | 1/1603 (0.1%) | 0/1601 (0%) | ||
Pulmonary fibrosis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pleural effusion | 0/1603 (0%) | 1/1601 (0.1%) | ||
Pulmonary hypertension | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Pulmonary oedema | 1/1603 (0.1%) | 0/1601 (0%) | ||
Pulmonary embolism | 0/1603 (0%) | 1/1601 (0.1%) | ||
Acute respiratory failure | 1/1603 (0.1%) | 3/1601 (0.2%) | ||
Respiratory failure | 2/1603 (0.1%) | 1/1601 (0.1%) | ||
Skin and subcutaneous tissue disorders | ||||
Blister | 0/1603 (0%) | 1/1601 (0.1%) | ||
Nail bed inflammation | 0/1603 (0%) | 1/1601 (0.1%) | ||
Diabetic foot | 3/1603 (0.2%) | 1/1601 (0.1%) | ||
Skin ulcer | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Surgical and medical procedures | ||||
Coronary arterial stent insertion | 1/1603 (0.1%) | 0/1601 (0%) | ||
Coronary revascularisation | 1/1603 (0.1%) | 0/1601 (0%) | ||
Foot amputation | 1/1603 (0.1%) | 0/1601 (0%) | ||
Vascular disorders | ||||
Hypertensive crisis | 0/1603 (0%) | 3/1601 (0.2%) | ||
Accelerated hypertension | 0/1603 (0%) | 1/1601 (0.1%) | ||
Aortic stenosis | 2/1603 (0.1%) | 0/1601 (0%) | ||
Circulatory collapse | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Haematoma | 1/1603 (0.1%) | 0/1601 (0%) | ||
Arteriosclerosis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Venous occlusion | 0/1603 (0%) | 1/1601 (0.1%) | ||
Peripheral vascular disorder | 1/1603 (0.1%) | 1/1601 (0.1%) | ||
Peripheral ischaemia | 3/1603 (0.2%) | 3/1601 (0.2%) | ||
Peripheral arterial occlusive disease | 1/1603 (0.1%) | 2/1601 (0.1%) | ||
Femoral artery occlusion | 0/1603 (0%) | 2/1601 (0.1%) | ||
Intermittent claudication | 1/1603 (0.1%) | 0/1601 (0%) | ||
Peripheral artery stenosis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Hypertension | 1/1603 (0.1%) | 5/1601 (0.3%) | ||
Hypotension | 2/1603 (0.1%) | 0/1601 (0%) | ||
Arteriovenous fistula | 0/1603 (0%) | 1/1601 (0.1%) | ||
Vasculitis | 0/1603 (0%) | 1/1601 (0.1%) | ||
Other (Not Including Serious) Adverse Events |
||||
Placebo | Fasiglifam 50 mg | |||
Affected / at Risk (%) | # Events | Affected / at Risk (%) | # Events | |
Total | 427/1603 (26.6%) | 415/1601 (25.9%) | ||
Blood and lymphatic system disorders | ||||
Anaemia | 26/1603 (1.6%) | 33/1601 (2.1%) | ||
Gastrointestinal disorders | ||||
Diarrhoea | 48/1603 (3%) | 44/1601 (2.7%) | ||
Nausea | 35/1603 (2.2%) | 33/1601 (2.1%) | ||
Infections and infestations | ||||
Upper respiratory tract infection | 87/1603 (5.4%) | 75/1601 (4.7%) | ||
Bronchitis | 45/1603 (2.8%) | 49/1601 (3.1%) | ||
Urinary tract infection | 43/1603 (2.7%) | 35/1601 (2.2%) | ||
Nasopharyngitis | 55/1603 (3.4%) | 61/1601 (3.8%) | ||
Influenza | 37/1603 (2.3%) | 34/1601 (2.1%) | ||
Sinusitis | 36/1603 (2.2%) | 22/1601 (1.4%) | ||
Musculoskeletal and connective tissue disorders | ||||
Arthralgia | 36/1603 (2.2%) | 41/1601 (2.6%) | ||
Nervous system disorders | ||||
Dizziness | 30/1603 (1.9%) | 39/1601 (2.4%) | ||
Headache | 32/1603 (2%) | 41/1601 (2.6%) | ||
Respiratory, thoracic and mediastinal disorders | ||||
Cough | 30/1603 (1.9%) | 40/1601 (2.5%) | ||
Vascular disorders | ||||
Hypertension | 40/1603 (2.5%) | 42/1601 (2.6%) |
Limitations/Caveats
More Information
Certain Agreements
Principal Investigators are NOT employed by the organization sponsoring the study.
The first study related publication will be a multi-center publication submitted within 24 months after conclusion or termination of a study at all sites. After such multi site publication, all proposed site publications and presentations will be submitted to sponsor for review 60 days in advance of publication. Site will remove Sponsor confidential information unrelated to study results. Sponsor can delay a proposed publication for another 60 days to preserve intellectual property.
Results Point of Contact
Name/Title | Medical Director |
---|---|
Organization | Takeda |
Phone | +1-877-825-3327 |
clinicaltrialregistry@tpna.com |
- TAK-875_306
- 2011-001732-37
- U1111-1129-7824
- TAK-875_306CTIL
- DOH-27-0313-4117
- 12/SC/0504
- NMRR-12-433-12087
- PHRR130916-000119
- 1015031332