Venous Thromboembolic Event (VTE) Prophylaxis in Medically Ill Patients (MAGELLAN)
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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: NCT00571649 |
Recruitment Status :
Completed
First Posted : December 12, 2007
Results First Posted : June 27, 2012
Last Update Posted : September 15, 2016
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Condition or disease | Intervention/treatment | Phase |
---|---|---|
Venous Thromboembolism | Drug: Rivaroxaban (Xarelto, BAY59-7939) Drug: Enoxaparin Drug: Rivaroxaban placebo Drug: Enoxaparin placebo | Phase 3 |
The treatment period was followed by a follow-up period starting the day after the last intake of study medication, regardless of the actual duration of study drug administration and ended on Day 90 (+ 7 days). Participants who did not complete the treatment period also entered the follow-up period. It was also possible that participants did not enter the follow-up period, e.g. due to withdrawal of consent or termination of study participation.
Within the US 'Johnson & Johnson Pharmaceutical Research & Development, L.L.C.' is sponsor.
Study Type : | Interventional (Clinical Trial) |
Actual Enrollment : | 8101 participants |
Allocation: | Randomized |
Intervention Model: | Parallel Assignment |
Masking: | Quadruple (Participant, Care Provider, Investigator, Outcomes Assessor) |
Primary Purpose: | Prevention |
Official Title: | Multicenter, Randomized, Parallel-group Efficacy and Safety Study for the Prevention of Venous Thromboembolism in Hospitalized Medically Ill Patients Comparing Rivaroxaban With Enoxaparin. The MAGELLAN Study |
Study Start Date : | December 2007 |
Actual Primary Completion Date : | August 2010 |
Actual Study Completion Date : | November 2010 |

Arm | Intervention/treatment |
---|---|
Experimental: Rivaroxaban (Xarelto, BAY59-7939)
Participants received 10 mg oral rivaroxaban tablet once daily (OD) for 35 +/- 4 days, plus subcutaneous enoxaparin-matched placebo solution OD for 10 +/- 4 days
|
Drug: Rivaroxaban (Xarelto, BAY59-7939)
Oral rivaroxaban 10 mg once daily administered for 35 +/- 4 days Drug: Enoxaparin placebo Subcutaneous enoxaparin-matched placebo solution OD for 10 +/- 4 days |
Active Comparator: Enoxaparin
Participants received oral rivaroxaban-matched placebo tablet OD for 35 +/- 4 days, plus 40 mg subcutaneous enoxaparin solution OD for 10 +/- 4 days
|
Drug: Enoxaparin
Subcutaneous enoxaparin 40 mg once daily (OD) administered for 10 +/- 4 days Drug: Rivaroxaban placebo Oral rivaroxaban-matched placebo tablet OD for 35 +/- 4 days |
- Percentage of Participants With Composite Endpoint of Venous Thromboembolism [VTE] (Any Deep Vein Thrombosis [DVT], Non Fatal Pulmonary Embolism [PE]) and VTE-related Death up to Day 35 + 6 Days [ Time Frame: Up to Day 35 + 6 days ]A composite endpoint of: asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death.
- Percentage of Participants With Composite Endpoint of VTE (Any DVT, Non Fatal PE) and VTE-related Death up to Day 10 + 5 Days [ Time Frame: Up to Day 10 + 5 days ]A composite endpoint of: asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death.
- Percentage of Participants With Composite Endpoint of VTE (Any DVT, Non Fatal PE) and All-cause Mortality up to Day 35 + 6 Days [ Time Frame: Up to Day 35 + 6 days ]A composite endpoint of: asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and death (VTE-related and not VTE-related).
- Percentage of Participants With Composite Endpoint of VTE (Any DVT, Non Fatal PE) and VTE-related Death up to Day 10 + 5 Days Per mITT Population [ Time Frame: Up to Day 10 + 5 days ]A composite endpoint of: asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death.
- Percentage of Participants With VTE Combined With All-cause Mortality up to Day 10 + 5 Days [ Time Frame: Up to Day 10 + 5 days ]A composite endpoint of: asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and death (VTE-related and not VTE-related).
- Percentage of Participants With Symptomatic VTE, Including and Excluding VTE-related Death up to Days 10, 35, and 90 [ Time Frame: At Day 10 + 5 days, at Day 35 + 6 days, and at Day 90 + 7 days ]Symptomatic VTE (non-fatal PE and DVT in lower extremity), including and excluding VTE-related death (PE and PE cannot be excluded) up to Days 10, 35, and 90
- Percentage of Participants With Net Clinical Benefit (Any DVT, Non-fatal PE, VTE-related Death, Plus Major and Clinically Relevant Non-major Bleeding Events) up to Day 35 + 6 Days [ Time Frame: Up to Day 35 + 6 days ]Net clinical benefit is a composite of the primary efficacy endpoint (asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death) plus major and clinically relevant non-major bleeding events.
- Percentage of Participants With Net Clinical Benefit (Any DVT, Non-fatal PE, VTE-related Death, Plus Major and Clinically Relevant Non-major Bleeding Events) up to Day 10 + 5 Days [ Time Frame: Up to Day 10 + 5 days ]Net clinical benefit is a composite of the primary efficacy endpoint (asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death) plus major and clinically relevant non-major bleeding events
- Percentage of Participants With Major Vascular Events up to Days 10, 35, and 90 [ Time Frame: At Day 10 + 5 days, at Day 35 + 6 days, and at Day 90 + 7 days ]Major vascular events included cardiovascular death, acute myocardial infarction (MI), or acute ischemic stroke. Participants may have had a vascular event in more than one category.
- Percentage of Participants With Each Component of the Composite Endpoint of VTE (Any DVT, Non Fatal PE) and VTE-related Death up to Day 35 + 6 Days [ Time Frame: Up to Day 35 + 6 days ]The components of the composite endpoint include asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death.
- Percentage of Participants With Each Component of the Composite Endpoint of VTE (Any DVT, Non Fatal PE) and VTE-related Death up to Day 10 + 5 Days [ Time Frame: Up to Day 10 + 5 days ]The components of the composite endpoint include asymptomatic proximal DVT in lower extremity detected by mandatory bilateral lower extremity venous ultrasonography; symptomatic DVT in lower extremity, proximal or distal; symptomatic, non-fatal PE; and VTE-related death.
- Percentage of Participants With All-cause Mortality up to Day 90 + 7 Days [ Time Frame: Up to Day 90 + 7 days ]All deaths, including VTE-related deaths, cardiovascular deaths, and other deaths.
- Percentage of Participants With the Composite of Treatment Emergent Major Bleeding Events and Non-major Clinically Relevant Bleeding Events up to 2 Days After Last Intake of Any Study Medication (Day 35 + 6 Days) [ Time Frame: Up to Day 35 + 6 days ]Major bleeding events were defined as events leading to >=2 g/dL fall in hemoglobin; or transfusion of >= 2 units of packed RBCs (Red blood cells) or whole blood; or leading to death. Non-major bleeding events were defined as overt bleeding not meeting the criteria of major bleeding
- Percentage of Participants With the Composite of Treatment Emergent Major Bleeding Events and Non-major Clinically Relevant Bleeding Events up to 2 Days After Last Application of a Study Medication Syringe (Day 10 + 5 Days) [ Time Frame: Up to Day 10 + 5 days ]Major bleeding events were defined as events leading to >=2 g/dL fall in hemoglobin or transfusion of >=2 units of packed RBCs or whole blood or leading to death. Non-major bleeding events were defined as overt bleeding not meeting the criteria of major bleeding.

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: | 40 Years and older (Adult, Older Adult) |
Sexes Eligible for Study: | All |
Accepts Healthy Volunteers: | No |
Inclusion Criteria:
- Male and female patients aged 40 years or more
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Patients at risk of venous thromboembolic events being hospitalized for acute medical conditions as follows:
- Heart failure, New York Heart Association (NYHA) class III or IV
- Active cancer
- Acute ischemic stroke
- Acute infectious and inflammatory diseases, including acute rheumatic diseases
- Acute respiratory insufficiency
- Additional risk factor for VTE, including reduced mobility
Exclusion Criteria:
- Conditions that contraindicate the use of antithrombotic therapy with the Low Molecular-Weight Heparin (LMWH) enoxaparin
- Conditions that may increase the risk of bleeding, including intracranial hemorrhage
- Required drugs or procedures which may interfere with the study treatment
- Concomitant conditions or diseases which may increase the risk of study subjects or interfere with the study outcome
- General conditions in which subjects are not suitable to participate in the study

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): NCT00571649


United States, Alabama | |
Birmingham, Alabama, United States, 35209 | |
Birmingham, Alabama, United States, 35235 | |
Dothan, Alabama, United States, 36301 | |
Office of Dr. John Simmons, MD | |
Geneva, Alabama, United States, 36340 | |
Mobile, Alabama, United States, 36608 | |
Montgomery, Alabama, United States, 36111 | |
Tuscaloosa, Alabama, United States, 35401 | |
Tuscaloosa, Alabama, United States, 35406 | |
United States, Arkansas | |
Little Rock, Arkansas, United States, 72205 | |
United States, California | |
Chula Vista, California, United States, 91911 | |
Duarte, California, United States, 91010 | |
Encinitas, California, United States, 92024 | |
Fountain Valley, California, United States, 92708 | |
Fullerton, California, United States, 92835 | |
Glendale, California, United States, 91206 | |
Oceanside, California, United States, 92056 | |
Pasadena, California, United States, 91105 | |
Redlands, California, United States, 92373 | |
Sacramento, California, United States, 95817 | |
San Diego, California, United States, 92120 | |
Santa Barbara, California, United States, 93102 | |
Torrance, California, United States, 90502-2004 | |
United States, Colorado | |
Denver, Colorado, United States, 80204 | |
Pueblo, Colorado, United States, 81003 | |
Wheat Ridge, Colorado, United States, 80033-6017 | |
United States, Connecticut | |
Farmington, Connecticut, United States, 06030 | |
United States, Delaware | |
Newark, Delaware, United States, 19718 | |
United States, District of Columbia | |
Washington, District of Columbia, United States, 20037 | |
United States, Florida | |
Aventura, Florida, United States, 33180 | |
Boyton Beach, Florida, United States, 33472 | |
Clearwater, Florida, United States, 33756 | |
Delray Beach, Florida, United States, 33445 | |
Ft. Lauderdale, Florida, United States, 33334 | |
Hollywood, Florida, United States, 33021 | |
Jupiter, Florida, United States, 33458 | |
Miami Springs, Florida, United States, 33166 | |
Miami, Florida, United States, 33136 | |
Miami, Florida, United States, 33173-3259 | |
Pembroke Pines, Florida, United States, 33024 | |
Port Charlotte, Florida, United States, 33952 | |
Sarasota, Florida, United States, 34232 | |
Vero Beach, Florida, United States, 32960 | |
United States, Georgia | |
Atlanta, Georgia, United States, 30342 | |
Decatur, Georgia, United States, 30030 | |
Fort Gordon, Georgia, United States, 30905 | |
Savannah, Georgia, United States, 31405 | |
United States, Idaho | |
Idaho Falls, Idaho, United States, 83404 | |
United States, Illinois | |
Chicago, Illinois, United States, 60611 | |
Springfield, Illinois, United States, 62702 | |
United States, Indiana | |
Anderson, Indiana, United States, 46011 | |
Noblesville, Indiana, United States, 46060 | |
United States, Iowa | |
Des Moines, Iowa, United States, 50314-2611 | |
United States, Kansas | |
Olathe, Kansas, United States, 66061 | |
United States, Louisiana | |
Lafayette, Louisiana, United States, 70503 | |
New Orleans, Louisiana, United States, 70121 | |
Shreveport, Louisiana, United States, 71130-4228 | |
United States, Maine | |
Biddeford, Maine, United States, 04005 | |
Rockport, Maine, United States, 04856 | |
United States, Maryland | |
Baltimore, Maryland, United States, 21215 | |
Baltimore, Maryland, United States, 21237 | |
United States, Massachusetts | |
Framingham, Massachusetts, United States, 01702 | |
United States, Michigan | |
Ann Arbor, Michigan, United States, 48106 | |
Detroit, Michigan, United States, 48201 | |
Detroit, Michigan, United States, 48202 | |
Grand Rapids, Michigan, United States, 49525 | |
Lansing, Michigan, United States, 48910 | |
Petoskey, Michigan, United States, 49770-2297 | |
Pontiac, Michigan, United States, 48341 | |
St. Clair Shores, Michigan, United States, 48081 | |
United States, Minnesota | |
Minneapolis, Minnesota, United States, 55417 | |
United States, Missouri | |
Kansas City, Missouri, United States, 64128 | |
St. Louis, Missouri, United States, 63110 | |
St. Louis, Missouri, United States, 63141 | |
United States, Montana | |
Anaconda, Montana, United States, 59711-2718 | |
Great Falls, Montana, United States, 59405 | |
United States, Nebraska | |
Omaha, Nebraska, United States, 68131 | |
United States, New Jersey | |
Hackensack, New Jersey, United States, 07601-1991 | |
New Brunswick, New Jersey, United States, 08901 | |
Somerville, New Jersey, United States, 08876-2598 | |
Summit, New Jersey, United States, 07901 | |
Teaneck, New Jersey, United States, 07666 | |
United States, New York | |
Brooklyn, New York, United States, 11215 | |
Buffalo, New York, United States, 14215-3021 | |
Jamaica, New York, United States, 11418 | |
New Hyde Park, New York, United States, 11040-1496 | |
New York, New York, United States, 10011 | |
New York, New York, United States, 10065 | |
Stony Brook, New York, United States, 11794 | |
Valhalla, New York, United States, 10595 | |
United States, North Carolina | |
Durham, North Carolina, United States, 27710 | |
Elizabeth City, North Carolina, United States, 27909 | |
Greensboro, North Carolina, United States, 27403 | |
United States, North Dakota | |
Fargo, North Dakota, United States, 58122 | |
United States, Ohio | |
Canton, Ohio, United States, 44718 | |
Columbus, Ohio, United States, 43215 | |
Maumee, Ohio, United States, 43537-1899 | |
Toledo, Ohio, United States, 43606 | |
United States, Pennsylvania | |
Bethlehem, Pennsylvania, United States, 18015 | |
Camp Hill, Pennsylvania, United States, 17011 | |
Danville, Pennsylvania, United States, 17822 | |
Philadelphia, Pennsylvania, United States, 19107 | |
Philadelphia, Pennsylvania, United States, 19124 | |
Scranton, Pennsylvania, United States, 18510 | |
Wilkes-Barre, Pennsylvania, United States, 18711-3752 | |
United States, South Carolina | |
Charleston, South Carolina, United States, 29425 | |
United States, Tennessee | |
Memphis, Tennessee, United States, 38104 | |
Nashville, Tennessee, United States, 37232-2650 | |
United States, Texas | |
Corsicana, Texas, United States, 75110 | |
Dallas, Texas, United States, 75216-7167 | |
Edinburg, Texas, United States, 78539 | |
Houston, Texas, United States, 77024 | |
Houston, Texas, United States, 77030-4009 | |
Houston, Texas, United States, 77030 | |
McAllen, Texas, United States, 78503 | |
San Antonio, Texas, United States, 78218 | |
United States, Utah | |
Ogden, Utah, United States, 84403 | |
United States, Virginia | |
Richmond, Virginia, United States, 23249 | |
Richmond, Virginia, United States, 23298 | |
United States, Washington | |
Everett, Washington, United States, 98201 | |
Tacoma, Washington, United States, 98405 | |
United States, West Virginia | |
Clarksburg, West Virginia, United States, 26301 | |
Argentina | |
Avellaneda, Buenos Aires, Argentina, B1870CID | |
San Miguel, Buenos Aires, Argentina, 1663 | |
Hospital de Agudos "Dr. Carlos Bocalandro" | |
Tres de Febrero, Buenos Aires, Argentina, 1657 | |
Buenos Aires, Ciudad Auton. de Buenos Aires, Argentina, 1221 | |
Hospital Británico | |
Buenos Aires, Ciudad Auton. de Buenos Aires, Argentina, 1280 | |
Sanatorio Mitre | |
Buenos Aires, Ciudad Auton. de Buenos Aires, Argentina, C1039AAO | |
Buenos Aires, Ciudad Auton. de Buenos Aires, Argentina, C1431FWO | |
Vicente López, Argentina, 1638 | |
Australia, Australian Capital Territory | |
Garran, Australian Capital Territory, Australia, 2605 | |
Australia, New South Wales | |
Kogarah, New South Wales, Australia, 2217 | |
Lismore, New South Wales, Australia, 2480 | |
Sydney, New South Wales, Australia, 2229 | |
Australia, Queensland | |
Auchenflower, Queensland, Australia, 4066 | |
Brisbane, Queensland, Australia, 4066 | |
Brisbane, Queensland, Australia, 4101 | |
Redcliffe, Queensland, Australia, 4020 | |
Southport, Queensland, Australia, 4215 | |
Woollongabba, Queensland, Australia, 4102 | |
Australia, South Australia | |
Adelaide, South Australia, Australia, 5042 | |
Australia, Tasmania | |
Launceston, Tasmania, Australia, 7250 | |
Australia, Victoria | |
Box Hill, Victoria, Australia, 3128 | |
Clayton, Victoria, Australia, 3168 | |
Melbourne, Victoria, Australia, 3135 | |
Melbourne, Victoria, Australia, 3144 | |
Australia, Western Australia | |
Perth, Western Australia, Australia, 6000 | |
Austria | |
Kittsee, Burgenland, Austria, 2421 | |
Oberpullendorf, Burgenland, Austria, 7350 | |
Wolfsberg, Kärnten, Austria, 9400 | |
Linz, Oberösterreich, Austria, 4020 | |
Gratwein, Steiermark, Austria, 8113 | |
Graz, Steiermark, Austria, 8036 | |
Hartberg, Steiermark, Austria, 8230 | |
Leoben, Steiermark, Austria, 8700 | |
Zams, Tirol, Austria, 6511 | |
Innsbruck, Austria, 6020 | |
Linz, Austria, 4020 | |
Mürzzuschlag, Austria, 8680 | |
St. Pölten, Austria, 3100 | |
Wien, Austria, 1030 | |
Wien, Austria, 1100 | |
Wien, Austria, 1140 | |
Belgium | |
Aalst, Belgium, 9300 | |
Brugge, Belgium, 8000 | |
Bruxelles - Brussel, Belgium, 1000 | |
Dendermonde, Belgium, 9200 | |
Hasselt, Belgium, 3500 | |
HUY, Belgium, 4500 | |
Ieper, Belgium, 8900 | |
Leuven, Belgium, 3000 | |
Malmedy, Belgium, 4960 | |
MOL, Belgium, 2400 | |
Montigny S/sambre, Belgium, 6061 | |
Mortsel, Belgium, 2640 | |
Roeselare, Belgium, 8800 | |
Sint-niklaas, Belgium, 9100 | |
Tubize, Belgium, 1480 | |
Turnhout, Belgium, 2300 | |
Brazil | |
Curitiba, Parana, Brazil, 80050-350 | |
Porto Alegre, Rio Grande do Sul, Brazil, 90610-000 | |
Campinas, Sao Paulo, Brazil, 130839 970 | |
Santo Andre, Sao Paulo, Brazil, 09190-610 | |
São Paulo, Sao Paulo, Brazil, 01323-001 | |
São Paulo, Sao Paulo, Brazil, 04039 002 | |
Sao Paulo, Brazil, 05403-900 | |
Sao Paulo, Brazil, 05443000 | |
Bulgaria | |
Pleven, Bulgaria, 5800 | |
Ruse, Bulgaria, 7002 | |
Sofia, Bulgaria, 1233 | |
Sofia, Bulgaria, 1606 | |
Stara Zagora, Bulgaria, 6000 | |
Varna, Bulgaria, 9010 | |
Veliko Tarnovo, Bulgaria, 5000 | |
Canada, Alberta | |
Calgary, Alberta, Canada, T2N 2T9 | |
Edmonton, Alberta, Canada, T5H 3V9 | |
Edmonton, Alberta, Canada, T6G 2B7 | |
Edmonton, Alberta, Canada, T6L 5X8 | |
Canada, British Columbia | |
Vancouver, British Columbia, Canada, V5Z 1M9 | |
Canada, New Brunswick | |
Saint John, New Brunswick, Canada, E2L 4L2 | |
Canada, Ontario | |
Cobourg, Ontario, Canada, K9A 5W6 | |
Ottawa, Ontario, Canada, K1Y 4E9 | |
Scarborough, Ontario, Canada, M1P 2V5 | |
Toronto, Ontario, Canada, M5T 2S8 | |
Hotel Dieu-Grace Hospital | |
Windsor, Ontario, Canada, N9A 1E1 | |
Canada, Quebec | |
Greenfield Park, Quebec, Canada, J4V 2H1 | |
CHUM - Hopital Notre-Dame | |
Montreal, Quebec, Canada, H2L 4M1 | |
Montreal, Quebec, Canada, H2L 4M1 | |
Montreal, Quebec, Canada, H2W 1T8 | |
Montreal, Quebec, Canada, H3T 1M5 | |
Ste-Foy, Quebec, Canada, G1V 4G5 | |
Canada | |
Quebec, Canada, G1J 1Z4 | |
Quebec, Canada, G1V 4G5 | |
Chile | |
Santiago, Chile, 760 0448 | |
Santiago, Chile | |
Viña del Mar, Chile | |
China, Guangdong | |
Guangzhou, Guangdong, China, 510120 | |
Guangzhou, Guangdong, China, 510405 | |
Guangzhou, Guangdong, China | |
China, Hunan | |
Changsha, Hunan, China, 410013 | |
China, Jiangsu | |
Nanjing, Jiangsu, China, 210008 | |
Nanjing, Jiangsu, China | |
China, Jilin | |
Changchun, Jilin, China | |
China, Liaoning | |
Dalian, Liaoning, China, 116027 | |
Shenyang, Liaoning, China, 110001 | |
Shenyang, Liaoning, China, 110004 | |
Shenyang, Liaoning, China, 110015 | |
China, Shaanxi | |
The 1st Affiliated Hosp of the 4th Military Med Uni | |
Xi'an, Shaanxi, China, 710032 | |
1st Affiliated Hosp., Med College Xi'an Jiaotong Univ. | |
Xi'an, Shaanxi, China, 710061 | |
China, Sichuan | |
Chengdu, Sichuan, China, 610041 | |
China | |
Beijing, China, 100005 | |
Beijing, China, 100020 | |
Beijing, China, 100029 | |
Beijing, China, 100034 | |
Beijing, China, 100037 | |
Beijing, China, 100044 | |
Beijing Friendship Hosp. | |
Beijing, China, 100050 | |
Beijing, China, 100050 | |
Beijing, China, 100053 | |
Beijing, China, 100088 | |
Beijing, China, 100853 | |
Chongqing, China, 400038 | |
Chongqing, China, 400042 | |
Shanghai, China, 200003 | |
Shanghai, China, 200025 | |
Shanghai, China, 200127 | |
Shanghai, China, 200233 | |
Shanghai, China | |
Colombia | |
Medellín, Antioquia, Colombia | |
Bogotá, Distrito Capital de Bogotá, Colombia | |
Cali, Valle del Cauca, Colombia | |
Bogota, Colombia | |
Bogotá, Colombia | |
Cali, Colombia | |
Medellín, Colombia | |
Croatia | |
Osijek, Croatia, 310 00 | |
Rijeka, Croatia, 51000 | |
Zadar, Croatia, 23000 | |
Zagreb, Croatia, 10000 | |
Zagreb, Croatia, 1000 | |
Czech Republic | |
Brno, Czech Republic, 656 91 | |
Kutna Hora, Czech Republic, 284 30 | |
Nove Mesto na Morave, Czech Republic, 592 31 | |
Olomouc, Czech Republic, 775 20 | |
Plzen, Czech Republic, 305 99 | |
Praha 2, Czech Republic, 128 08 | |
Praha 2, Czech Republic, 128 21 | |
Praha 2, Czech Republic, 12808 | |
Ricany, Czech Republic, 251 49 | |
Znojmo, Czech Republic, 669 02 | |
Denmark | |
Esbjerg, Denmark, 6700 | |
Frederiksberg C, Denmark, 2000 | |
Kolding, Denmark, 6000 | |
København NV, Denmark, 2400 | |
København S, Denmark, 2300 | |
Roskilde, Denmark, 4000 | |
Estonia | |
Tallinn, Estonia, 10138 | |
Tallinn, Estonia, 13419 | |
Tallinn, Estonia, EE-10617 | |
Tartu, Estonia, EE-51014 | |
Finland | |
Helsinki, Finland, 00290 | |
Hämeenlinna, Finland, 13530 | |
Jyväskylä, Finland, 40620 | |
Lahti, Finland, 15850 | |
Lappeenranta, Finland, 53130 | |
Raisio, Finland, 21200 | |
Turku, Finland, 20520 | |
Turku, Finland, 20700 | |
France | |
Arras, France, 62000 | |
Besancon, France, 25000 | |
Brest Cedex, France, 29609 | |
Castelnau Le Lez, France, 34170 | |
Clermont Ferrand, France, 63000 | |
Colombes Cedex, France, 92701 | |
Dijon, France, 21000 | |
Lille, France, 59037 | |
Lille, France, 59307 | |
Limoges, France, 87042 | |
Lomme, France, 59160 | |
Lyon, France, 69003 | |
Montpellier Cedex, France, 34295 | |
Nice, France, 06280 | |
Nimes, France, 30029 | |
Paris, France, 75004 | |
Paris, France, 75010 | |
Paris, France, 75475 | |
Paris, France, 75877 | |
Pierre Benite, France, 69495 | |
Reims, France, 51092 | |
Roubaix, France, 59100 | |
Saint Herblain Cedex, France, 44805 | |
Saint-etienne, France, 42000 | |
Strasbourg Cedex, France, 67091 | |
Toulouse, France, 31403 | |
TOURCOING cedex, France, 59208 | |
Vandoeuvre Les Nancy, France, 54511 | |
Germany | |
Bad Mergentheim, Baden-Württemberg, Germany, 97980 | |
Esslingen, Baden-Württemberg, Germany, 73730 | |
Heidelberg, Baden-Württemberg, Germany, 69120 | |
Karlsbad, Baden-Württemberg, Germany, 76307 | |
Weiden, Bayern, Germany, 92637 | |
Beeskow, Brandenburg, Germany, 15848 | |
Frankfurt/Oder, Brandenburg, Germany, 15236 | |
Dortmund, Nordrhein-Westfalen, Germany, 44137 | |
Jülich, Nordrhein-Westfalen, Germany, 52428 | |
Köln, Nordrhein-Westfalen, Germany, 50935 | |
Köln, Nordrhein-Westfalen, Germany, 51067 | |
Köln, Nordrhein-Westfalen, Germany, 51109 | |
Leverkusen, Nordrhein-Westfalen, Germany, 51375 | |
Mönchengladbach, Nordrhein-Westfalen, Germany, 41063 | |
Neuss, Nordrhein-Westfalen, Germany, 41464 | |
Oberhausen, Nordrhein-Westfalen, Germany, 46045 | |
Paderborn, Nordrhein-Westfalen, Germany, 33098 | |
Soest, Nordrhein-Westfalen, Germany, 59494 | |
Stolberg, Nordrhein-Westfalen, Germany, 52222 | |
Troisdorf, Nordrhein-Westfalen, Germany, 53844 | |
Viersen, Nordrhein-Westfalen, Germany, 41749 | |
Wuppertal, Nordrhein-Westfalen, Germany, 42109 | |
Mainz, Rheinland-Pfalz, Germany, 55131 | |
Neuwied, Rheinland-Pfalz, Germany, 56564 | |
Halle, Sachsen-Anhalt, Germany, 06112 | |
Dresden, Sachsen, Germany, 01067 | |
Dresden, Sachsen, Germany, 01307 | |
Leipzig, Sachsen, Germany, 04289 | |
Pirna, Sachsen, Germany, 01796 | |
Berlin, Germany, 10787 | |
Bremen, Germany, 28177 | |
Greece | |
Elefsina, Attica, Greece, 19018 | |
Kifisia / Athens, Attica, Greece, 14561 | |
Abelokipi - Athens, Greece, 115 26 | |
Athens, Greece, 106 76 | |
Athens, Greece, 115 26 | |
Athens, Greece, 156 69 | |
Nea Ionia, Greece, 14233 | |
Piraeus, Greece, 18536 | |
Rio / Patras, Greece, 265 04 | |
Hong Kong | |
Shatin, N.t., Hong Kong | |
Shatin, Hong Kong | |
Hungary | |
Baja, Hungary, 6500 | |
Balassagyarmat, Hungary, 2660 | |
Budapest, Hungary, 1076 | |
Budapest, Hungary, 1134 | |
Budapest, Hungary, 1145 | |
Debrecen, Hungary, 4012 | |
Gyor, Hungary, 9024 | |
Hodmezovasarhely, Hungary, 6800 | |
Kecskemet, Hungary, 6000 | |
Szekesfehervar, Hungary, 8000 | |
Tatabanya, Hungary, 2800 | |
Zalaegerszeg-Pozva, Hungary, H-8900 | |
India | |
Ahmedabad, Gujar?t, India, 380 054 | |
Bangalore, Karn?taka, India, 560052 | |
Bangalore, Karn?taka, India, 560099 | |
Calicut, Kerala, India, 673 004 | |
Thiruvananthapuram, Kerala, India, 695002 | |
Pune, Maharashtra, India, 411001 | |
Pune, Maharashtra, India, 411011 | |
Ludhiana, Punjab, India, 141001 | |
Chennai, Tamil N?du, India, 600081 | |
Coimbatore, Tamil N?du, India, 641 004 | |
Kolkata, West Bengal, India, 700 099 | |
Hyderabad, India, 500034 | |
Hyderabad, India, 500082 | |
Hyderabad, India, 600 038 | |
Mumbai, India, 400022 | |
Noida, India | |
Indonesia | |
Jakarta, Indonesia, 10430 | |
Jakarta, Indonesia, 11420 | |
Surabaya, Indonesia, 60286 | |
Israel | |
Afula, Israel, 1834111 | |
Ashkelon, Israel, 7830604 | |
Haifa, Israel, 31048 | |
Haifa, Israel, 3109601 | |
Holon, Israel, 58100 | |
Kfar Saba, Israel, 4428164 | |
Rehovot, Israel, 7610001 | |
Tel Aviv, Israel, 64239 | |
Zefat, Israel, 1311001 | |
Italy | |
Acquaviva delle Fonti, Bari, Italy, 70021 | |
Napoli, Campania, Italy, 80123 | |
Modena, Emilia-Romagna, Italy, 41100 | |
Parma, Emilia-Romagna, Italy, 43100 | |
Piacenza, Emilia-Romagna, Italy, 29121 | |
Reggio Emilia, Emilia-Romagna, Italy, 42123 | |
Roma, Lazio, Italy, 00161 | |
Roma, Lazio, Italy, 00168 | |
Genova, Liguria, Italy, 16128 | |
Milano, Lombardia, Italy, 20089 | |
Milano, Lombardia, Italy, 20133 | |
Milano, Lombardia, Italy, 20162 | |
Varese, Lombardia, Italy, 21100 | |
Campobasso, Molise, Italy, 86100 | |
Fidenza, Parma, Italy, 43036 | |
Catania, Sicilia, Italy, 95124 | |
Palermo, Sicilia, Italy, 90127 | |
Terni, Trentino-Alto Adige, Italy, 05019 | |
Perugia, Umbria, Italy, 06024 | |
Perugia, Umbria, Italy, 06156 | |
Domodossola, Verbano-Cusio-Ossola, Italy, 28845 | |
Bergamo, Italy, 24128 | |
Latina, Italy, 04100 | |
Reggio Calabria, Italy, 89124 | |
Vicenza, Italy, 36100 | |
Japan | |
Ichinomiya, Aichi, Japan, 491-8551 | |
Kasugai, Aichi, Japan, 487-0013 | |
Obu, Aichi, Japan, 474-8511 | |
Matsuyama, Ehime, Japan, 790-0024 | |
Toon, Ehime, Japan, 791-0281 | |
Chikushino, Fukuoka, Japan, 818-8516 | |
Takasaki, Gunma, Japan, 370-0829 | |
Kure, Hiroshima, Japan, 737-0023 | |
Hakodate, Hokkaido, Japan, 040-8611 | |
Sapporo, Hokkaido, Japan, 065-0033 | |
Amagasaki, Hyogo, Japan, 660-8511 | |
Kanazawa, Ishikawa, Japan, 920-8650 | |
Hanamaki, Iwate, Japan, 025-0075 | |
Ebina, Kanagawa, Japan, 243-0433 | |
Kamakura, Kanagawa, Japan, 247-8533 | |
Yokohama, Kanagawa, Japan, 236-0051 | |
Nangoku, Kochi, Japan, 783-8509 | |
Matsusaka, Mie, Japan, 515-8544 | |
Tsu, Mie, Japan, 514-1101 | |
Tsu, Mie, Japan, 514-8507 | |
Kashiwazaki, Niigata, Japan, 945-8585 | |
Tomigusuku, Okinawa, Japan, 901-0243 | |
Urasoe, Okinawa, Japan, 901-2132 | |
Daito, Osaka, Japan, 574-0074 | |
Yao, Osaka, Japan, 581-0011 | |
Kusatsu, Shiga, Japan, 525-8585 | |
Hamamatsu, Shizuoka, Japan, 432-8580 | |
Meguro-ku, Tokyo, Japan, 152-8902 | |
Shinjuku-ku, Tokyo, Japan, 162-8655 | |
Shimonoseki, Yamaguchi, Japan, 750-0061 | |
Fukui, Japan, 910-8561 | |
National Hospital Organization Ibaraki Higashi Hospital | |
Ibaraki, Japan, 319-1113 | |
Kumamoto, Japan, 860-0008 | |
Kyoto, Japan, 606-8507 | |
Korea, Republic of | |
Gyeongi-do, Korea, Korea, Republic of, 463-707 | |
Seoul National University Hospital | |
Seoul, Seoul Teugbyeolsi, Korea, Republic of, 110-744 | |
Seoul Metropolitan Boramae Hospital | |
Seoul, Seoul Teugbyeolsi, Korea, Republic of, 156-707 | |
Gyeonggi-do, Korea, Republic of, 463-712 | |
Jeollanam-do, Korea, Republic of, 519-763 | |
Seoul, Korea, Republic of, 135-710 | |
Seoul, Korea, Republic of, 138736 | |
Latvia | |
Daugavpils, Latvia, LV-5417 | |
Liepaja, Latvia, 3402 | |
Riga, Latvia, 1002 | |
Riga, Latvia, 1005 | |
Riga, Latvia, LV-1001 | |
Riga, Latvia, LV-1038 | |
Valmiera, Latvia, LV-4201 | |
Ventspils, Latvia, LV-3601 | |
Lithuania | |
Kaunas, Lithuania, LT-3000 | |
Kaunas, Lithuania, LT-3002 | |
Kaunas, Lithuania, LT-3026 | |
Klaipeda, Lithuania, LT-5800 | |
Klaipeda, Lithuania, LT-92231 | |
Siauliai, Lithuania, 76231 | |
Utena, Lithuania, LT-28142 | |
Vilnius, Lithuania, 04130 | |
Vilnius, Lithuania, 10207 | |
Vilnius, Lithuania, LT-2001 | |
Luxembourg | |
Kirchberg, Luxembourg, 2540 | |
Luxembourg, Luxembourg, 1210 | |
Niederkorn, Luxembourg, 4602 | |
Malaysia | |
Kuala Lumpur, Malaysia, 59100 | |
Negeri Sembilan,, Malaysia, 70300 | |
Sarawak, Malaysia, 93400 | |
Mexico | |
Tuxtla Gutiérrez, Chiapas, Mexico, 29000 | |
Torreón, Coahuila, Mexico, 27250 | |
Mexico D. F., Distrito Federal, Mexico, 06760 | |
Mexico D.F., Distrito Federal, Mexico, 11340 | |
Mexico D.F., Distrito Federal, Mexico, 15900 | |
México, D.F., Distrito Federal, Mexico, 06729 | |
México, D.F., Distrito Federal, Mexico, 07760 | |
México, D.F, Distrito Federal, Mexico, 07460 | |
Guadalajara, Jalisco, Mexico, 44280 | |
Morelia, Michoacán, Mexico, 58270 | |
Metepec, México, Mexico, 52140 | |
Monterrey, Nuevo Leon, Mexico, 66480 | |
Hermosillo, Sonora, Mexico, 83000 | |
Mérida, Yucatán, Mexico, 97001 | |
Aguascalientes, Mexico, 20234 | |
Chihuahua, Mexico, 31350 | |
Puebla, Mexico, 72410 | |
Zacatecas, Mexico, 98000 | |
Netherlands | |
Amersfoort, Netherlands, 3816 CP | |
Amsterdam, Netherlands, 1061 AE | |
Enschede, Netherlands, 7511 JX | |
Heerlen, Netherlands, 6401 CX | |
Maastricht, Netherlands, 6229 HX | |
Nieuwegein, Netherlands, 3435 CM | |
Rotterdam, Netherlands, 3083 AN | |
Sittard, Netherlands, 6131 BK | |
Utrecht, Netherlands, 3582 KE | |
New Zealand | |
Auckland, New Zealand, 0622 | |
Auckland, New Zealand, 1023 | |
Auckland, New Zealand, 2024 | |
Christchurch, New Zealand, 8011 | |
Norway | |
Fredrikstad, Norway, 1603 | |
Gjøvik, Norway, 2819 | |
Hamar, Norway, 2326 | |
Oslo, Norway, 0319 | |
Oslo, Norway, 0407 | |
Pakistan | |
Karachi, Pakistan, 74800 | |
Karachi, Pakistan, 75500 | |
Lahore, Pakistan | |
Peru | |
Callao, Peru, CALLAO 2 | |
Lima Cercado, Peru, LIMA 1 | |
Lima, Peru, 01 | |
Lima, Peru, 31 | |
Lima, Peru, LIMA 11 | |
Lima, Peru, LIMA 1 | |
Poland | |
Bialystok, Poland, 15-276 | |
Bydgoszcz, Poland, 85-681 | |
Krakow, Poland, 31-066 | |
Krakow, Poland, 31-121 | |
Lublin, Poland, 20-178 | |
Olsztyn, Poland, 10-228 | |
Piotrkow Trybunalski, Poland, 97-300 | |
Siedlce, Poland, 08-110 | |
Starogard Gdanski, Poland, 83-200 | |
Szczecin, Poland, 70-965 | |
Tarnów, Poland, 33-100 | |
Warszawa, Poland, 03-401 | |
Warszawa, Poland, 04-141 | |
Warszawa, Poland, 04-749 | |
Wloclawek, Poland, 87-800 | |
Portugal | |
S. Martinho do Bispo, Coimbra, Portugal, 3041-856 | |
Amadora, Portugal, 2720-276 | |
Cascais, Portugal, 2750-349 | |
Coimbra, Portugal, 3000-075 | |
Lisboa, Portugal, 1150-199 | |
Lisboa, Portugal, 1349-019 | |
Lisboa, Portugal, 1649-035 | |
Lisboa, Portugal, 1849- 017 | |
Matosinhos, Portugal, 4454-509 | |
Porto, Portugal, 4099-001 | |
Porto, Portugal, 4200-319 | |
Santarém, Portugal, 2005 | |
Viana do Castelo, Portugal, 4901-585 | |
Romania | |
Bucharest, Romania, 014461 | |
Bucharest, Romania, 022328 | |
Bucharest, Romania, 041915 | |
Constanta, Romania, 900591 | |
Suceava, Romania, 720237 | |
Russian Federation | |
Moscow, Russian Federation, 103030 | |
Moscow, Russian Federation, 115093 | |
Moscow, Russian Federation, 115516 | |
Moscow, Russian Federation, 117292 | |
Moscow, Russian Federation, 119048 | |
Moscow, Russian Federation, 119435 | |
Moscow, Russian Federation, 125101 | |
Moscow, Russian Federation, 125367 | |
Nizhny Novgorod, Russian Federation, 603001 | |
Nizhny Novgorod, Russian Federation, 603035 | |
Yaroslavl, Russian Federation, 150003 | |
Yaroslavl, Russian Federation, 150030 | |
Singapore | |
Singapore, Singapore, 119074 | |
Singapore, Singapore, 168752 | |
Singapore, Singapore, 169608 | |
Singapore, Singapore, 308433 | |
Changi General Hospital | |
Singapore, Singapore, 529889 | |
Slovakia | |
Bratislava, Slovakia, 813 69 | |
Bratislava, Slovakia, 826 06 | |
Lucenec, Slovakia, 984 39 | |
Martin, Slovakia, 036 59 | |
Zilina, Slovakia, 012 07 | |
Slovenia | |
Golnik, Slovenia, 4204 | |
Ljubljana, Slovenia, 1000 | |
Novo mesto, Slovenia, 8000 | |
South Africa | |
Bloemfontein, Freestate, South Africa, 9301 | |
Johannesburg, Gauteng, South Africa, 2057 | |
Johannesburg, Gauteng, South Africa, 2132 | |
Johannesburg, Gauteng, South Africa, 2196 | |
Kempton Park, Gauteng, South Africa, 1610 | |
Pretoria, Gauteng, South Africa, 0084 | |
Pretoria, Gauteng, South Africa, 0157 | |
Pretoria, Gauteng, South Africa, 0181 | |
Roodepoort, Gauteng, South Africa, 1724 | |
Goodwood, Western Cape, South Africa, 7460 | |
Somerset West, Western Cape, South Africa, 7130 | |
Stellenbosch, Western Cape, South Africa, 7505 | |
Worcester, Western Cape, South Africa, 6850 | |
Sandton, Gauteng, South Africa, 2196 | |
Spain | |
Badalona, Barcelona, Spain, 08916 | |
Sabadell, Barcelona, Spain, 08208 | |
Cabra, Córdoba, Spain, 14940 | |
Olot, Girona, Spain, 17800 | |
Cartagena, Murcia, Spain, 30202 | |
Vélez, Málaga, Spain, 29700 | |
Vigo, Pontevedra, Spain, 36214 | |
Barcelona, Spain, 08023 | |
Barcelona, Spain, 08036 | |
Cuenca, Spain, 16002 | |
Córdoba, Spain, 14004 | |
Girona, Spain, 17007 | |
Zaragoza, Spain, 50009 | |
Sweden | |
Borås, Sweden, 501 82 | |
Hässleholm, Sweden, 281 25 | |
Karlshamn, Sweden, 374 80 | |
Kristianstad, Sweden, 29185 | |
Lund, Sweden, 221 85 | |
Malmö, Sweden, 205 02 | |
Skövde, Sweden, 541 85 | |
Stockholm, Sweden, 171 76 | |
Stockholm, Sweden, 182 88 | |
Sundsvall, Sweden, 851 86 | |
Umeå, Sweden, 90185 | |
Visby, Sweden, 62184 | |
Switzerland | |
Bruderholz, Basel-Landschaft, Switzerland, 4101 | |
Basel, Basel-Stadt, Switzerland, 4031 | |
Liestal, Basel-Stadt, Switzerland, 4410 | |
Langenthal, Bern, Switzerland, 4901 | |
Baden, Switzerland, 5404 | |
Bern, Switzerland, 3010 | |
Genève, Switzerland, 1211 | |
Luzern, Switzerland, 6000 | |
Zürich, Switzerland, 8091 | |
Taiwan | |
Kaohsiung, Taiwan, 833 | |
Tainan, Taiwan, 710 | |
Taipei, Taiwan, 10016 | |
Taipei, Taiwan, 114 | |
Taipei, Taiwan | |
Thailand | |
Bangkok, Thailand, 10400 | |
Bangkok, Thailand, 10700 | |
Chiangmai, Thailand, 50200 | |
Turkey | |
Istanbul, Turkey, 34098 | |
Istanbul, Turkey, 34304 | |
Izmir, Turkey, 35100 | |
Izmir, Turkey, 35340 | |
Ukraine | |
Donetsk, Ukraine, 83003 | |
Donetsk, Ukraine, 83045 | |
Ivano-Frankivsk, Ukraine, 76000 | |
Kharkiv, Ukraine, 61037 | |
Kharkiv, Ukraine, 61070 | |
Kharkiv, Ukraine, 61178 | |
Kiev, Ukraine, 02 091 | |
Kiev, Ukraine, 03680 | |
Kiev, Ukraine, 04112 | |
Kyiv, Ukraine, 01105 | |
Lviv, Ukraine, 790 34 | |
Odessa, Ukraine, 65009 | |
Odessa, Ukraine, 65025 | |
Simferopol, Ukraine, 95 026 | |
Simferopol, Ukraine, 95023 | |
United Kingdom | |
Middlesborough, Cleveland, United Kingdom, TS4 3BW | |
Dumfries, Dumfries and Galloway, United Kingdom, DG1 4EP | |
Liverpool, Merseyside, United Kingdom, L9 7JU | |
Sheffield, South Yorkshire, United Kingdom, S10 2JF | |
Glasgow, Stratchclyde, United Kingdom, G11 6NT | |
Newcastle Upon Tyne, Tyne and Wear, United Kingdom, NE1 4LP | |
Leeds, West Yorkshire, United Kingdom, LS9 7TF | |
London, United Kingdom, N18 1QX | |
London, United Kingdom, SE5 9RS | |
London, United Kingdom, W1T 4EU | |
Nottingham, United Kingdom, NG7 2UH |
Study Director: | Bayer Study Director | Bayer |
Publications of Results:
Publications automatically indexed to this study by ClinicalTrials.gov Identifier (NCT Number):
Responsible Party: | Bayer |
ClinicalTrials.gov Identifier: | NCT00571649 |
Other Study ID Numbers: |
12839 2007-004614-14 ( EudraCT Number ) |
First Posted: | December 12, 2007 Key Record Dates |
Results First Posted: | June 27, 2012 |
Last Update Posted: | September 15, 2016 |
Last Verified: | August 2016 |
Acute medical illnesses with increased risk for VTE. Deep vein thrombosis (DVT) Pulmonary embolism (PE), Venous Thromboembolic disease (VTE), Medical illness |
Thromboembolism Venous Thromboembolism Embolism and Thrombosis Vascular Diseases Cardiovascular Diseases Enoxaparin Rivaroxaban Enoxaparin sodium Factor Xa Inhibitors |
Antithrombins Serine Proteinase Inhibitors Protease Inhibitors Enzyme Inhibitors Molecular Mechanisms of Pharmacological Action Anticoagulants Fibrinolytic Agents Fibrin Modulating Agents |