THALES - Acute STroke or Transient IscHaemic Attack Treated With TicAgreLor and ASA for PrEvention of Stroke and Death (THALES)

December 21, 2020 updated by: AstraZeneca

A Randomised, Double-Blind, Placebo-Controlled, International, Multicentre, Phase III Study to Investigate the Efficacy and Safety of Ticagrelor and ASA Compared With ASA in the Prevention of Stroke and Death in Patients With Acute Ischaemic Stroke or Transient Ischaemic Attack

Study to investigate if the study drug ticagrelor and ASA is more effective than Placebo (inactive tablet) and ASA in preventing new stroke events

Study Overview

Status

Completed

Intervention / Treatment

Study Type

Interventional

Enrollment (Actual)

11016

Phase

  • Phase 3

Contacts and Locations

This section provides the contact details for those conducting the study, and information on where this study is being conducted.

Study Locations

      • Adrogué, Argentina, 1846
        • Research Site
      • Buenos Aires, Argentina, 1180AAX
        • Research Site
      • Buenos Aires, Argentina, 1437
        • Research Site
      • Buenos Aires, Argentina, AR-CP 1221
        • Research Site
      • Buenos Aires, Argentina, C1425 FSD
        • Research Site
      • Buenos Aires, Argentina, C1437BZK
        • Research Site
      • Capital Federal, Argentina, 1428
        • Research Site
      • Ciudad Autónoma de Bs. As., Argentina, C1199ABB
        • Research Site
      • Cordoba, Argentina, 5000
        • Research Site
      • Mar del Plata, Argentina, B7602CBM
        • Research Site
      • Mendoza, Argentina, M5500IDN
        • Research Site
      • Rosario, Argentina, S2000DSV
        • Research Site
      • Rosario, Argentina, S200GAP
        • Research Site
      • Salta, Argentina, A4400
        • Research Site
      • Adelaide, Australia, 5000
        • Research Site
      • Heidelberg, Australia, 3084
        • Research Site
      • Herston, Australia, 4029
        • Research Site
      • Parkville, Australia, 3050
        • Research Site
      • Southport, Australia, 4215
        • Research Site
      • St Albans, Australia, 3021
        • Research Site
      • Antwerpen, Belgium, 2020
        • Research Site
      • Assebroek (Brugge), Belgium, 8310
        • Research Site
      • Bruges, Belgium, 8000
        • Research Site
      • Brussels, Belgium, 1200
        • Research Site
      • Dendermonde, Belgium, 9200
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      • Edegem, Belgium, 2650
        • Research Site
      • Kortrijk, Belgium, 8500
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      • Leuven, Belgium, 3000
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      • Liège, Belgium, 4000
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      • Oostende, Belgium, 8400
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      • Roeselare, Belgium, 8800
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      • Sint-Truiden, Belgium, 3800
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      • Yvoir, Belgium, 5530
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      • Botucatu, Brazil, 18618-687
        • Research Site
      • Curitiba, Brazil, 81210-310
        • Research Site
      • Goiania, Brazil, 74083-100
        • Research Site
      • Joinville, Brazil, 89202-165
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      • Maringa, Brazil, 87015-000
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      • Porto Alegre, Brazil, 90610-000
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      • Ribeirao Preto, Brazil, 14015130
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      • Rio de Janeiro, Brazil, 22270-005
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      • Salvador, Brazil, 41820011
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      • Dupnitsa, Bulgaria, 2600
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      • Kozloduy, Bulgaria, 3320
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      • Lukovit, Bulgaria, 5770
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      • Pazardzhik, Bulgaria, 4400
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      • Pleven, Bulgaria, 5800
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      • Sliven, Bulgaria, 8800
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      • Sofia, Bulgaria, 1407
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      • Sofia, Bulgaria, 1142
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      • Sofia, Bulgaria, 1606
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      • Teteven, Bulgaria, 5700
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      • Chicoutimi, Canada, G7H 5H6
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    • Alberta
      • Calgary, Alberta, Canada, T2N 2T9
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      • Edmonton, Alberta, Canada, T6G 2B7
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      • Lethbridge, Alberta, Canada, T1J 0N9
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      • Baoji, China, 721008
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      • Baotou, China, 014016
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      • Beijing, China, 100070
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      • Beijing, China, 100191
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      • Beijing, China, 100049
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      • Changsha, China, 410013
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      • Changsha, China, 430033
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      • Changsha, China, 410078
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      • Chifeng, China, 024000
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      • Daqing, China, 163000
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      • Foshan, China, 528000
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      • Guangzhou, China, 510080
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      • Guangzhou, China, 510180
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      • Guangzhou, China, 510630
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      • Guiyang, China, 550004
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      • Haikou, China, 570311
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      • Hangzhou, China, 310009
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      • Hohhot, China, 010017
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      • Hohhot, China, 10050
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      • Jinan, China, 250001
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      • Jinzhou, China, 121004
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      • Liuzhou, China, 545006
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      • Nanchang, China, 330006
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      • Nanjing, China, 210029
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      • Nantong, China, 226001
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      • Ningbo, China, 315010
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      • Shanghai, China, 200080
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      • Shanghai, China, 200090
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      • Shanghai, China, CN-200120
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      • Shenyang, China, 110016
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      • Taiyuan, China, 030001
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      • Tangshan, China, 063001
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      • Tianjin, China, 300060
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      • Tianjin, China, 300121
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      • Wenzhou, China, 325000
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      • Wu Han, China, 430060
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      • Wuhan, China, 430022
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      • Wuhan, China, 430033
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      • Wuxi, China, 214002
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      • Xi'an, China, 710061
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      • Xiamen, China, 361004
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      • Xining, China, 810001
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      • Xuzhou, China, 221006
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      • Brno, Czechia, 656 91
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      • Chomutov, Czechia, 430 12
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      • Ostrava, Czechia, 708 52
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      • Ostrava, Czechia, 703 84
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      • Pardubice, Czechia, 520 03
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      • Praha 4, Czechia, 140 59
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      • Usti nad Labem, Czechia, 401 13
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      • Bayonne, France, 64100
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      • Besancon Cedex, France, 25030
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      • Bordeaux Cedex, France, 33076
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      • Bourg en Bresse, France, 01012
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      • Brest Cedex 2, France, 29609
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      • Caen, France, 14033
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      • Corbeil Essonnes Cedex, France, 91106
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      • Dijon, France, 21079
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      • Le Chesnay Cedex, France, 78157
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      • Lille, France, 59037
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      • Metz, France, 57085
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      • Montpellier Cedex 5, France, 34295
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      • NICE Cedex 01, France, 06001
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      • Nancy, France, 54035
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      • PARIS Cedex 12, France, 75571
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      • Paris, France, 75475
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      • Paris, France, 75019
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      • Paris Cedex 13, France, 75651
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      • Paris Cedex 18, France, 75877
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      • Rennes, France, 35033
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      • Rouen Cedex, France, 76031
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      • Saint Herblain, France, 44093
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      • Saint-Priez En Jarez, France, 42270
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      • Strasbourg Cedex, France, 67098
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      • Suresnes Cedex, France, 92151
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      • Toulouse Cedex 9, France, 31059
        • Research Site
      • Altenburg, Germany, 04600
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      • Bad Neustadt, Germany, 97616
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      • Berlin, Germany, 12351
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      • Erlangen, Germany, 91054
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      • Essen, Germany, 45147
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      • Hamburg, Germany, 20099
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      • Hamburg, Germany, 22291
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      • Hamburg, Germany, 22043
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      • Hamburg, Germany, 22763
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      • Hannover, Germany, 30625
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      • Minden, Germany, 32429
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      • Münster, Germany, 48149
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      • Hong Kong, Hong Kong
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      • Kowloon, Hong Kong
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      • Baja, Hungary, 6500
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      • Balassagyarmat, Hungary, 2660
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      • Budapest, Hungary, 1083
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      • Budapest, Hungary, 1125
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      • Budapest, Hungary, 1134
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      • Budapest, Hungary, 1106
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      • Budapest, Hungary, 1204
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      • Debrecen, Hungary, 4043
        • Research Site
      • Győr, Hungary, 9000
        • Research Site
      • Kistarcsa, Hungary, 2143
        • Research Site
      • Miskolc, Hungary, 3526
        • Research Site
      • Nyíregyháza, Hungary, 4400
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      • Pécs, Hungary, 7623
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      • Sopron-Balf, Hungary, 9494
        • Research Site
      • Székesfehérvár, Hungary, 8000
        • Research Site
      • Tatabánya, Hungary, 2800
        • Research Site
      • Bangalore, India, 560068
        • Research Site
      • Bangalore, India, 560002
        • Research Site
      • Bengaluru, India, 560076
        • Research Site
      • Dehradun, India, 248001
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      • Guntur, India, 522001
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      • Gurgaon, India, 122001
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      • Gurgaon, India, 122002
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      • Hyderabad, India, 500018
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      • Kanpur, India, 208002
        • Research Site
      • Kolkata, India, 700017
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      • Mangalore, India, 575002
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      • Nagpur, India, 420012
        • Research Site
      • Nagpur, India, 440012
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      • Nashik, India, 422005
        • Research Site
      • New Delhi, India, 110029
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      • New Delhi, India, 110005
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      • New Delhi, India, 110026
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      • Srikakulam, India, 532001
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      • Varanasi, India, 221004
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      • Cona, Italy, 44124
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      • Genova, Italy, 16132
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      • Genova, Italy, 16128
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      • Massa, Italy, 55100
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      • Milano, Italy, 20132
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      • Modena, Italy, 41100
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      • Negrar, Italy, 37024
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      • Pavia, Italy, 27100
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      • Perugia, Italy, 06132
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      • Pietra Ligure, Italy, 17027
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      • Pisa, Italy, 56100
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      • Roma, Italy, 00152
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      • Roma, Italy, 00144
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      • Roma, Italy, 00161
        • Research Site
      • Siena, Italy, 53100
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      • Varese, Italy, 21100
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      • Verona, Italy, 37126
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      • Vicenza, Italy, 36100
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      • Vizzolo Predabissi, Italy, 20070
        • Research Site
      • Anyang-si, Korea, Republic of, 14068
        • Research Site
      • Busan, Korea, Republic of, 49241
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      • Busan, Korea, Republic of, 49201
        • Research Site
      • Cheongju-si, Korea, Republic of, 28644
        • Research Site
      • Daegu, Korea, Republic of, 42601
        • Research Site
      • Daegu, Korea, Republic of, 42415
        • Research Site
      • Daegu, Korea, Republic of, 700-721
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      • Daejeon-si, Korea, Republic of, 35233
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      • Goyang-si, Korea, Republic of, 411-706
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      • Gwangju, Korea, Republic of, 61469
        • Research Site
      • Incheon, Korea, Republic of, 400-711
        • Research Site
      • Jeju-do, Korea, Republic of, 63241
        • Research Site
      • Seongnam-si, Korea, Republic of, 13620
        • Research Site
      • Seoul, Korea, Republic of, 02447
        • Research Site
      • Seoul, Korea, Republic of, 04401
        • Research Site
      • Seoul, Korea, Republic of, 01830
        • Research Site
      • Seoul, Korea, Republic of, 02053
        • Research Site
      • Culiacan, Mexico, 80230
        • Research Site
      • D.F, Mexico, 14269
        • Research Site
      • Durango, Mexico, 34217
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      • Guadalajara, Mexico, 44280
        • Research Site
      • Mexico, Mexico, 01090
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      • Mexico City, Mexico, 6726
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      • Mexico City, Mexico, 07760
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      • Monterrey, Mexico, 64460
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      • México, Mexico, 03103
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      • Tijuana, Mexico, 22321
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      • Bellavista, Peru, CALLAO 2
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      • Callao, Peru, CALLAO 02
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      • Lima, Peru, LIMA 01
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      • Lima, Peru, LIMA 1
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      • Lima, Peru, LIMA 31
        • Research Site
      • Lima, Peru, Lima-1
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      • Lima, Peru, LIMA 13
        • Research Site
      • Trujillo, Peru, 130101
        • Research Site
      • Urb. El Chipe, Peru, 20007
        • Research Site
      • Białystok, Poland, 15-276
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      • Chełm, Poland, 22-100
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      • Działdowo, Poland, 13-200
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      • Gdańsk, Poland, 80-952
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      • Gdańsk, Poland, 80-803
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      • Grodzisk Mazowiecki, Poland, 05-825
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      • Gryfice, Poland, 72-300
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      • Katowice, Poland, 40-635
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      • Końskie, Poland, 26-200
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      • Kraków, Poland, 31-826
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      • Lublin, Poland, 20-954
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      • Olsztyn, Poland, 10-560
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      • Olsztyn, Poland, 10-082
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      • Ostrołęka, Poland, 07-410
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      • Rybnik, Poland, 44-200
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      • Sandomierz, Poland, 27-600
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      • Skarżysko-Kamienna, Poland, 26-110
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      • Warszawa, Poland, 02-957
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      • Warszawa, Poland, 03-242
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      • Zielona Góra, Poland, 65-046
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      • Łódź, Poland, 90-153
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      • Łódź, Poland, 93-113
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      • Świebodzin, Poland, 66-200
        • Research Site
      • Bucharest, Romania, 050098
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      • Bucharest, Romania, 011461
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      • Bucharest, Romania, 020125
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      • Iasi, Romania, 700309
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      • Oradea, Romania, 410169
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      • Sibiu, Romania, 550166
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      • Timisoara, Romania, 300736
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      • Tirgu-Mures, Romania, 540136
        • Research Site
      • Chelyabinsk, Russian Federation, 454106
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      • Ekaterinburg, Russian Federation, 620102
        • Research Site
      • Izhevsk, Russian Federation, 426063
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      • Kazan, Russian Federation, 420012
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      • Kazan, Russian Federation, 420101
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      • Kemerovo, Russian Federation, 650002
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      • Moscow, Russian Federation, 117997
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      • Moscow, Russian Federation, 121374
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      • Moscow, Russian Federation, 115516
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      • Moscow, Russian Federation, 117292
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      • Moscow, Russian Federation, 123367
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      • Moscow, Russian Federation, 109004
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      • Nizhnii Novgorod, Russian Federation, 603018
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      • Nizhniy Novgorod, Russian Federation, 603005
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      • Novosibirsk, Russian Federation, 630051
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      • Novosibirsk, Russian Federation, 630003
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      • Ryazan, Russian Federation, 390039
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      • Saint Petersburg, Russian Federation, 196601
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      • Saint Petersburg, Russian Federation, 196247
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      • Saint-Petersburg, Russian Federation, 192242
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      • Saint-Petersburg, Russian Federation, 194354
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      • Samara, Russian Federation, 443095
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      • Samara, Russian Federation, 443096
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      • Saratov, Russian Federation, 410030
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      • Sochi, Russian Federation, 354057
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      • Tomsk, Russian Federation, 634063
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      • Ufa, Russian Federation, 450071
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      • Voronezh, Russian Federation, 394066
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      • Yaroslavl, Russian Federation, 150030
        • Research Site
      • Ar Riyāḑ, Saudi Arabia, 11426
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      • Jeddah, Saudi Arabia, 21423
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      • Riyadh, Saudi Arabia, 12372
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      • Riyadh, Saudi Arabia, 11525
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      • Dolny Kubin, Slovakia, 02614
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      • Levoca, Slovakia, 054 01
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      • Liptovsky Mikulas, Slovakia, 031 23
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      • Martin, Slovakia, 03659
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      • Nitra, Slovakia, 949 01
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      • Rimavska Sobota, Slovakia, 97912
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      • Skalica, Slovakia, 909 82
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      • Spisska Nova Ves, Slovakia, 052 01
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      • Trencin, Slovakia, 81171
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      • Trnava, Slovakia, 91701
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      • Ziar nad Hronom, Slovakia, 96537
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      • Albacete, Spain, 02006
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      • Alicante, Spain, 03010
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      • Badalona(Barcelona), Spain, 08916
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      • Barcelona, Spain, 08035
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      • Barcelona, Spain, 08003
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      • Barcelona, Spain, 08025
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      • Gerona, Spain, 17007
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      • Lleida, Spain, 25198
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      • Madrid, Spain, 28034
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      • Madrid, Spain, 28006
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      • Sevilla, Spain, 41009
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      • Sevilla, Spain, 41013
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      • Valencia, Spain, 46009
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      • Valladolid, Spain, 47005
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      • Zaragoza, Spain, 50009
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      • Göteborg, Sweden, 413 45
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      • Linköping, Sweden, 581 85
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      • Lund, Sweden, 221 85
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      • Malmö, Sweden, 205 02
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      • Ostersund, Sweden, 831 83
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      • Skövde, Sweden, 541 85
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      • Solna, Sweden, 171 76
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      • Stockholm, Sweden, 118 83
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      • Stockholm, Sweden, 182 88
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      • Uppsala, Sweden, 751 85
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      • Changhua, Taiwan, 500
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      • Kaohsiung, Taiwan, 80756
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      • Kaohsiung City, Taiwan, 83301
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      • Keelung, Taiwan, 20448
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      • New Taipei, Taiwan, 23561
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      • New Taipei City, Taiwan, 237
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      • Taichung, Taiwan, 40705
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      • Taichung, Taiwan, 40447
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      • Taichung City, Taiwan, 437
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      • Tainan, Taiwan, 704
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      • Tainan, Taiwan, 710
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      • Taipei, Taiwan, 10002
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      • Taipei, Taiwan, 10449
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      • Taipei, Taiwan, 11101
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      • Taipei, Taiwan, 116
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      • Taoyuan Hsien, Taiwan, 33305
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      • Bangkok, Thailand, 10300
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      • Bangkok, Thailand, 10330
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      • Bangkok, Thailand, 10400
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      • Bangkok, Thailand, 10700
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      • Bangkok, Thailand, 10600
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      • Bangkok, Thailand, 10220
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      • Chonburi, Thailand, 20000
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      • Hat Yai, Thailand, 90110
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      • Khlong Luang, Thailand, 12120
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      • Khon Kaen, Thailand, 40002
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      • Lampang, Thailand, 52000
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      • Muang, Thailand, 57000
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      • Nakhonpathom, Thailand, 73000
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      • Prachinburi, Thailand, 25000
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      • Rajthevi, Thailand, 10400
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      • Ratchaburi, Thailand, 70000
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      • Ubonratchathani, Thailand, 34000
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      • Chernivtsі, Ukraine, 58001
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      • Ivano-Frankivsk, Ukraine, 76018
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      • Ivano-Frankivsk, Ukraine, 76008
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      • Kharkiv Region, Ukraine, 61176
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      • Kharkiv Region, Ukraine, 61018
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      • Kherson, Ukraine, 73000
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      • Kyiv, Ukraine, 03129
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      • Lutsk, Ukraine, 43024
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      • Lviv, Ukraine, 79013
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      • Poltava, Ukraine, 36038
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      • Ternopil, Ukraine, 46027
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      • Vinnytsia, Ukraine, 21005
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      • Zaporizhzhia, Ukraine, 69600
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      • Zaporizhzhia, Ukraine, 69068
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      • Dong Nai, Vietnam, 81000
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      • Ha Noi, Vietnam, 10000
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      • Hanoi, Vietnam, 10000
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      • Ho Chi Minh, Vietnam, 70000
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      • Ho Chi Minh City, Vietnam, 70000
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Participation Criteria

Researchers look for people who fit a certain description, called eligibility criteria. Some examples of these criteria are a person's general health condition or prior treatments.

Eligibility Criteria

Ages Eligible for Study

40 years to 130 years (ADULT, OLDER_ADULT)

Accepts Healthy Volunteers

No

Genders Eligible for Study

All

Description

Inclusion Criteria:

  1. Provision of signed informed consent prior to any study-specific procedure
  2. ≥40 years of age
  3. Acute onset of cerebral ischaemia due to

    1. AIS with NIHSS ≤5. AIS is defined as acute onset of neurological deficit attributed to focal brain ischaemia, and either of the following:

      • Persistent signs or symptoms of the ischaemic event at the time o randomisation, OR
      • Acute ischaemic brain lesion documented before randomisation by computed tomography (CT) scan or magnetic resonance imaging (MRI) (diffusion-weighted imaging) and that could account for the clinical presentation
    2. High-risk TIA, defined as neurological deficit of acute onset attributed to focal ischaemia of the brain by history or examination with complete resolution of the deficit, and at least one of the following:

      • ABCD2 score ≥6 and TIA symptoms not limited to isolated numbness, isolated visual changes, or isolated dizziness/vertigo
      • Symptomatic intracranial arterial occlusive disease that could account for the clinical presentation, documented by transcranial Doppler or vascular imaging and defined as at least 50% narrowing in the diameter of the vessel lumen
      • Internal carotid arterial occlusive disease that could account for the clinical presentation, documented by Doppler, ultrasound, or vascular imaging and defined as at least 50% narrowing in diameter of the vessel lumen
  4. Randomisation occurring within 24 hours after onset of symptoms; for wake-up strokes (when the time of symptom onset is not known), within 24 hours from the time point at which the patient was reported to be in their normal condition
  5. CT or MRI performed after symptom onset ruling out intracranial haemorrhage or other pathology, such as vascular malformation, tumour, or abscess that according

to the Investigator could explain symptoms or contraindicate study treatment

Exclusion Criteria:

  1. Need for or an anticipated need for any of the following:

    1. Dual antiplatelet therapy with ASA and P2Y12 inhibitors (including patients with carotid artery stenting and percutaneous coronary intervention)
    2. Antiplatelets other than ASA (eg, GPIIb/IIIa inhibitors, clopidogrel, ticlopidine, prasugrel, dipyridamole, ozagrel, cilostazol, ticagrelor) and other antithrombotic agents with antiplatelet effects, including traditional/herbal medicine agents
    3. Anticoagulants (eg, warfarin, oral thrombin and factor Xa inhibitors, bivalirudin, hirudin, argatroban, fondaparinux, or unfractionated heparin and long-term treatment with low-molecular weight heparins). Short-term treatment (≤7 days) with low-dose low-molecular weight heparin may be used in immobilised patients at the discretion of the Investigator
  2. Any history of atrial fibrillation/flutter, ventricular aneurysm, or suspicion of other cardioembolic pathology for TIA or stroke
  3. Patients who should receive or have received any intravenous or intra-arterial thrombolysis or mechanical thrombectomy within 24 hours prior to randomisation
  4. Planned carotid endarterectomy that requires halting investigational product within 3 days of randomisation or is expected to require unblinding of investigational product (planned carotid endarterectomy is in itself not an exclusion criterion)
  5. History of previous intracranial haemorrhage at any time (asymptomatic microbleeds do not qualify), gastrointestinal haemorrhage within the past 6 months, or major surgery within 30 days
  6. Patients considered to be at risk of bradycardic events (eg, known sick sinus syndrome or second- or third-degree atrioventricular block) unless already treated with a permanent pacemaker
  7. Inability of the patient to understand and/or comply with study procedures and/or follow-up, in the opinion of the Investigator
  8. Known hypersensitivity to ticagrelor or ASA
  9. Need for or an anticipated need for oral or intravenous therapy with any of the following:

    1. Strong cytochrome P450 3A (CYP3A4) inhibitors (eg, ketoconazole, clarithromycin [but not erythromycin or azithromycin], nefazadone, ritonavir, atazanavir) that cannot be stopped for the course of the study
    2. Long-term (>7 days) non-steroidal anti-inflammatory drugs
  10. Known bleeding diathesis or coagulation disorder (eg, thrombotic thrombocytopenic purpura)
  11. Known severe liver disease (eg, ascites or signs of coagulopathy)
  12. Renal failure requiring dialysis
  13. Pregnancy or breastfeeding. Women of child-bearing potential who are not willing to use a medically accepted method of contraception that is considered reliable in the judgment of the Investigator
  14. Involvement in the planning and/or conduct of the study (applies to both AstraZeneca staff and/or staff at the study site)
  15. Previous enrolment or randomisation in the present study
  16. Participation in another clinical study with an investigational product at any time during the 30 days prior to randomisation (regardless of when treatment with the investigational product was discontinued)

Study Plan

This section provides details of the study plan, including how the study is designed and what the study is measuring.

How is the study designed?

Design Details

  • Primary Purpose: TREATMENT
  • Allocation: RANDOMIZED
  • Interventional Model: PARALLEL
  • Masking: QUADRUPLE

Arms and Interventions

Participant Group / Arm
Intervention / Treatment
EXPERIMENTAL: TICAGRELOR
Ticagrelor arm: Day 1, loading dose of ticagrelor followed by daily maintenance dose until Day 30.
PLACEBO_COMPARATOR: TICAGRELOR PLACEBO
Placebo arm: Day 1, loading dose of placebo followed by placebo daily maintenance dose until Day 30.

What is the study measuring?

Primary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Composite of Subsequent Stroke or Death
Time Frame: From randomisation (day 1) to visit 3 (day 30-34)
Participants with subsequent stroke or death
From randomisation (day 1) to visit 3 (day 30-34)

Secondary Outcome Measures

Outcome Measure
Measure Description
Time Frame
Ischaemic Stroke
Time Frame: From randomisation (day 1) to visit 3 (day 30-34)
Number of participants with ischaemic stroke
From randomisation (day 1) to visit 3 (day 30-34)
Number of Participants With Modified Rankin Scale (mRS) Score >1 at Visit 3
Time Frame: Visit 3 (day 30-34)
The modified Rankin Scale (mRS) is a scale for measuring the degree of disability or dependence in the daily activities of people who have suffered a stroke or other causes of neurological disability. The scale runs from 0-6, running from perfect health without symptoms to death.0 - No symptoms,1 - No significant disability. Able to carry out all usual activities, despite some symptoms. 2 - Slight disability. Able to look after own affairs without assistance, but unable to carry out all previous activities. 3 - Moderate disability. Requires some help, but able to walk unassisted. 4 - Moderately severe disability. Unable to attend to own bodily needs without assistance, and unable to walk unassisted. 5 - Severe disability. Requires constant nursing care and attention, bedridden, incontinent. 6 - Dead.
Visit 3 (day 30-34)

Other Outcome Measures

Outcome Measure
Measure Description
Time Frame
Bleeding Event That Fulfils Serious Adverse Event Criteria and is Categorised as GUSTO Severe
Time Frame: From randomisation (day 1) to visit 3 (day 30-34)
Participants with bleeding event that fulfils serious adverse event criteria and is categorised as GUSTO Severe. GUSTO is a bleeding scale (GUSTO = Global Utilization of Streptokinase and Tissue plasminogen activator for Occluded coronary arteries). GUSTO Severe bleeding is defined as any of the following: (1) fatal bleeding, (2) intracranial bleeding, or (3) bleeding that caused haemodynamic compromise requiring intervention
From randomisation (day 1) to visit 3 (day 30-34)
ICH or Fatal Bleeding Event
Time Frame: From randomisation (day 1) to visit 3 (day 30-34)
Participants with ICH or fatal bleeding event
From randomisation (day 1) to visit 3 (day 30-34)
Bleeding Event That Fulfils Serious Adverse Event Criteria and is Categorised as GUSTO Moderate/Severe
Time Frame: From randomisation (day 1) to visit 3 (day 30-34)
Participants with bleeding event that fulfils serious adverse event criteria and is categorised as GUSTO Moderate/Severe. GUSTO is a bleeding scale (GUSTO = Global Utilization of Streptokinase and Tissue plasminogen activator for Occluded coronary arteries). GUSTO Severe bleeding is defined as any of the following: (1) fatal bleeding, (2) intracranial bleeding, or (3) bleeding that caused haemodynamic compromise requiring intervention. GUSTO Moderate bleeding is a bleeding requiring transfusion of whole blood or packed red blood cells without haemodynamic compromise
From randomisation (day 1) to visit 3 (day 30-34)
Premature Permanent Discontinuation of IP Due to Bleeding
Time Frame: From randomisation (day 1) to visit 3 (day 30-34)
Participants with premature permanent discontinuation of IP due to bleeding
From randomisation (day 1) to visit 3 (day 30-34)

Collaborators and Investigators

This is where you will find people and organizations involved with this study.

Sponsor

Publications and helpful links

The person responsible for entering information about the study voluntarily provides these publications. These may be about anything related to the study.

General Publications

Study record dates

These dates track the progress of study record and summary results submissions to ClinicalTrials.gov. Study records and reported results are reviewed by the National Library of Medicine (NLM) to make sure they meet specific quality control standards before being posted on the public website.

Study Major Dates

Study Start (ACTUAL)

January 22, 2018

Primary Completion (ACTUAL)

December 13, 2019

Study Completion (ACTUAL)

December 13, 2019

Study Registration Dates

First Submitted

November 20, 2017

First Submitted That Met QC Criteria

November 24, 2017

First Posted (ACTUAL)

November 28, 2017

Study Record Updates

Last Update Posted (ACTUAL)

December 22, 2020

Last Update Submitted That Met QC Criteria

December 21, 2020

Last Verified

December 1, 2020

More Information

This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.

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