Massive 35,000-Patient study launches to map Real-World care for chronic diseases

NCT ID NCT03549754

Summary

This large observational study aims to collect real-world information on how patients with type 2 diabetes, high blood pressure, heart failure, and/or chronic kidney disease are currently managed. It will enroll 35,000 adults from many countries to track their treatments, doctor visits, hospital stays, and health outcomes over time. The goal is to understand current care patterns and identify opportunities to improve the quality of care for these common, interconnected conditions.

This is a summary of the original study . Summaries may miss details or leave out important information. Before applying or accepting participation, make sure you have read and understood the full study. Curemydisease.com takes NO responsibility whatsoever for anything missed, misunderstood, or acted upon as a result of our summary — we know it does not capture everything.

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Contacts and locations

Study contacts

  • Contact

    Phone: •••-•••-•••• Email: •••••@•••••

Locations

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    Fortaleza, Ceará, 60840-285, Brazil

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    Colatina, Espírito Santo (ES), 29707-035, Brazil

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    Salvador, Estado de Bahia, 40730-220, Brazil

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    Brasília, Federal District, 70673-623, Brazil

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    Poços de Caldas, Minas Gerais, 37706-106, Brazil

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    Campina Grande do Sul, Paraná, 83430-000, Brazil

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    Teresina, Piauí (PI), 64001-450, Brazil

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    Santa Cruz do Sul, Rio Grande Do Sul (RS), 96835-090, Brazil

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    Goiânia, State of Goiás, 74453-200, Brazil

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    Joinville, State of Santa Catarina, 89204-248, Brazil

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    Bragança Paulist, São Paulo, 12916-542, Brazil

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    São Caetano do Sul, São Paulo, 09521-160, Brazil

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    São Paulo, 05403-000, Brazil

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    São Paulo, 05403-900, Brazil

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    Providencia, Santiago Metropolitan, 7500922, Chile

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    Abidjan, Côte d’Ivoire

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    Wan Chai District, Hong Kong

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    Ahmedabad, India

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    Sunkar, 46001, Iraq

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    Almaty, 50000, Kazakhstan

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    Almaty, 50006, Kazakhstan

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    Almaty, 50012, Kazakhstan

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    Almaty, 50054, Kazakhstan

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    Nairobi, 14497, Kenya

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    Kuala Lumpur, Malaysia

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    Kuala Lumpur, Selangor, Malaysia

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    León, Guanajuato, 37549, Mexico

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    Colonia Doctores Neighborhood, 06720, Mexico

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    Iztapalapa, Mexico

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    Mexico City, Mexico

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    México, 04530, Mexico

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    Gwagwalada, 901002, Nigeria

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    Kano, 700233, Nigeria

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    Florida, 1794, South Africa

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    Parow, 7505, South Africa

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    Umhlanga, 4320, South Africa

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    Niaosong Dist, Kaohsiung, 83301, Taiwan

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    Changhua, 500209, Taiwan

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    Kaohsiung City, 81301, Taiwan

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    Taichung, 40447, Taiwan

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    Taichung, 40705, Taiwan

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    Taichung, Taiwan

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    Tainan, 704, Taiwan

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    Taipei, Taiwan

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    Taoyuan, 33305, Taiwan

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    Dnipro, Dnipropetrovsk Oblast, 49005, Ukraine

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    Kharkiv, Kharkivs’ka Oblast’, 61039, Ukraine

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    Kharkiv, Kharkivs’ka Oblast’, Ukraine

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    Kyiv, Kyiv Oblast, 3039, Ukraine

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    Kyiv, Kyiv Oblast, 4050, Ukraine

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    Vinnytsia, Vinnytsia Oblast, 21000, Ukraine

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    Lutsk, Volyn Oblast, 43024, Ukraine

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    Uzhhorod, Zakarpattia Oblast, 88000, Ukraine

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    Zaporizhzhia, Zaporizhzhia Oblast, 69035, Ukraine

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    Sharjah city, United Arab Emirates

Conditions

Explore the condition pages connected to this study.