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iCaReMe 글로벌 레지스트리 (iCaReMe)

2026년 9월 7일 업데이트: AstraZeneca

제2형 당뇨병, 고혈압, 심부전 및/또는 만성 신장 질환 환자의 관리 및 치료 품질을 결정하기 위한 실제 다국적 레지스트리

제2형 당뇨병, 고혈압, 심부전 및/또는 만성 신장 질환 환자의 환자 특성, 질병 관리, 의료 이용 및 결과에 대한 실제 데이터를 제공합니다.

연구 개요

상태

상태

현재 모집 상태 또는 확장 액세스 상태를 나타냅니다.
모병

정황

정황

연구 중인 질병, 장애, 증후군, 질환 또는 부상입니다. ClinicalTrials.gov에서 조건에는 수명, 삶의 질 및 건강 위험과 같은 기타 건강 관련 문제도 포함될 수 있습니다.

상세 설명

레지스트리는 많은 국가의 임상 실습에서 T2DM, 고혈압, 열부전 및 만성 신장 질환 환자에 대한 환자 관리 및 치료 품질에 대한 실제 데이터를 제공할 계획입니다. 이 격차를 해소하기 위해 제2형 당뇨병, 고혈압, 심부전 및 만성 신장 질환 환자의 환자 특성, 질병 관리, 의료 이용 및 결과에 대한 실제 데이터를 수집하기 위해 관찰 자발적 등록이 설정되었습니다. 클라우드 기반 eCRF를 활용하는 다국적 관측 레지스트리로, 조사관과 과학 위원회가 액세스할 수 있는 전향적 및 후향적 데이터 수집용입니다. 이 레지스트리는 전 세계에서 T2DM, HTN, HF 또는 CKD를 관리하는 모든 의사에게 공개됩니다.

연구 유형

연구 유형

임상 연구의 특성을 설명합니다. 연구 유형에는 중재 연구(임상 시험이라고도 함), 관찰 연구(환자 등록 포함) 및 확장된 액세스가 포함됩니다.
관찰

등록 (추정된)

등록

임상 연구의 참가자 수. "예상" 등록은 연구원이 연구에 필요한 참가자의 목표 수입니다.
35000

연락처 및 위치

이 섹션에서는 연구를 수행하는 사람들의 연락처 정보와 이 연구가 수행되는 장소에 대한 정보를 제공합니다.

연구 연락처

연구 연락처

임상 연구를 위한 등록 질문에 답변할 수 있는 사람의 이름과 연락처 정보. 연구가 수행되는 각 위치에는 이러한 질문에 더 잘 대답할 수 있는 특정 연락처가 있을 수 있습니다.

연구 장소

  • 가나
      • Kumasi, 가나
        • 모병
        • Research Site
  • 그루지야
      • Tbilisi, 그루지야
        • 모병
        • Research Site
  • 나이지리아
      • Enugu, 나이지리아, 400001
        • 모병
        • Research Site
      • Gwagwalada, 나이지리아, 901002
        • 모병
        • Research Site
      • Kano, 나이지리아, 700233
        • 모병
        • Research Site
  • 남아프리카
      • Florida, 남아프리카, 1794
        • 모병
        • Research Site
      • Parow, 남아프리카, 7505
        • 모병
        • Research Site
      • Umhlanga, 남아프리카, 4320
        • 모병
        • Research Site
      • Umhlanga, 남아프리카, 4319
        • 모병
        • Research Site
  • 대만
      • Changhua, 대만, 500209
        • 모병
        • Research Site
      • Kaohsiung City, 대만, 81301
        • 모병
        • Research Site
      • Niaosong, 대만, 83301
        • 모병
        • Research Site
      • Taichung, 대만, 40447
        • 모병
        • Research Site
      • Taichung, 대만, 40705
        • 모병
        • Research Site
      • Taichung, 대만
        • 모병
        • Research Site
      • Tainan, 대만, 704
        • 모병
        • Research Site
      • Taipei, 대만
        • 모병
        • Research Site
      • Taoyuan City, 대만, 33305
        • 모병
        • Research Site
  • 말레이시아
      • Kuala Lumpur, 말레이시아
        • 모병
        • Research Site
  • 멕시코
      • Iztapalapa, 멕시코
        • 모병
        • Research Site
      • Mexico City, 멕시코, 06720
        • 모병
        • Research Site
      • Mexico City, 멕시코
        • 모병
        • Research Site
      • México, 멕시코, 04530
        • 모병
        • Research Site
    • Guanajuato
      • León, Guanajuato, 멕시코, 37549
        • 모병
        • Research Site
  • 브라질
      • São Paulo, 브라질, 05403-000
        • 모병
        • Research Site
      • São Paulo, 브라질, 05403-900
        • 모병
        • Research Site
    • Ceará
      • Fortaleza, Ceará, 브라질, 60840-285
        • 모병
        • Research Site
    • Espírito Santo (ES)
      • Colatina, Espírito Santo (ES), 브라질, 29707-035
        • 모병
        • Research Site
    • Estado de Bahia
      • Salvador, Estado de Bahia, 브라질, 40730-220
        • 모병
        • Research Site
    • Federal District
      • Brasília, Federal District, 브라질, 70673-623
        • 모병
        • Research Site
    • Minas Gerais
      • Poços de Caldas, Minas Gerais, 브라질, 37706-106
        • 모병
        • Research Site
    • Paraná
      • Campina Grande do Sul, Paraná, 브라질, 83430-000
        • 모병
        • Research Site
      • Curitiba, Paraná, 브라질, 80230-020
        • 모병
        • Research Site
    • Piauí (PI)
      • Teresina, Piauí (PI), 브라질, 64001-450
        • 모병
        • Research Site
    • Rio Grande Do Sul (RS)
      • Santa Cruz do Sul, Rio Grande Do Sul (RS), 브라질, 96835-090
        • 모병
        • Research Site
    • State of Goias
      • Goiânia, State of Goias, 브라질, 74453-200
        • 모병
        • Research Site
    • State of Santa Catarina
      • Joinville, State of Santa Catarina, 브라질, 89204-248
        • 모병
        • Research Site
    • São Paulo
      • Bragança Paulista, São Paulo, 브라질, 12916-542
        • 모병
        • Research Site
      • São Caetano do Sul, São Paulo, 브라질, 09521-160
        • 모병
        • Research Site
  • 아랍 에미리트
      • Sharjah city, 아랍 에미리트
        • 모병
        • Research Site
  • 우크라이나
    • Dnipropetrovsk Oblast
      • Dnipro, Dnipropetrovsk Oblast, 우크라이나, 49005
        • 모병
        • Research Site
    • Kharkiv Oblast
      • Kharkiv, Kharkiv Oblast, 우크라이나, 61039
        • 모병
        • Research Site
      • Kharkiv, Kharkiv Oblast, 우크라이나
        • 모병
        • Research Site
    • Kyiv Oblast
      • Kyiv, Kyiv Oblast, 우크라이나, 3039
        • 모병
        • Research Site
      • Kyiv, Kyiv Oblast, 우크라이나, 4050
        • 모병
        • Research Site
    • Vinnytsia Oblast
      • Vinnytsia, Vinnytsia Oblast, 우크라이나, 21000
        • 모병
        • Research Site
    • Volyn Oblast
      • Lutsk, Volyn Oblast, 우크라이나, 43024
        • 모병
        • Research Site
    • Zakarpattia Oblast
      • Uzhhorod, Zakarpattia Oblast, 우크라이나, 88000
        • 모병
        • Research Site
    • Zaporizhzhia Oblast
      • Zaporizhzhya, Zaporizhzhia Oblast, 우크라이나, 69035
        • 모병
        • Research Site
  • 이라크
      • Sulaymaniyah, 이라크, 46001
        • 모병
        • Research Site
  • 이집트
      • Alexandria, 이집트
        • 모병
        • Research Site
      • Cairo, 이집트
        • 모병
        • Research Site
      • Giza, 이집트
        • 모병
        • Research Site
  • 인도
      • Ahmedabad, 인도
        • 모병
        • Research Site
      • Kolkata, 인도, 700034
        • 모병
        • Research Site
      • Mumbai, 인도, 400006
        • 모병
        • Research Site
  • 칠레
    • Santiago Metropolitan
      • Providencia, Santiago Metropolitan, 칠레, 7500922
        • 모병
        • Research Site
  • 카자흐스탄
      • Aktobe, 카자흐스탄, 30019
        • 모병
        • Research Site
      • Almaty, 카자흐스탄, 50000
        • 모병
        • Research Site
      • Almaty, 카자흐스탄, 50006
        • 모병
        • Research Site
      • Almaty, 카자흐스탄, 50012
        • 모병
        • Research Site
      • Almaty, 카자흐스탄, 50054
        • 모병
        • Research Site
  • 케냐
      • Nairobi, 케냐, 14497
        • 모병
        • Research Site
  • 코스타리카
      • San José, 코스타리카
        • 모병
        • Research Site
  • 코트 디부 아르
      • Abidjan, 코트 디부 아르
        • 모병
        • Research Site
  • 필리핀 제도
      • Bulacan, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Cebu City, 필리핀 제도
        • 모병
        • Research Site
      • Iloilo City, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Laguna, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Mandaluyong, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Manila, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Mindoro, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Pampanga, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Quezon City, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
      • Zamboanga City, 필리핀 제도
        • 아직 모집하지 않음
        • Research Site
  • 홍콩
      • Wan Chai, 홍콩
        • 모병
        • Research Site

참여기준

연구원은 적격성 기준이라는 특정 설명에 맞는 사람을 찾습니다. 이러한 기준의 몇 가지 예는 개인의 일반적인 건강 상태 또는 이전 치료입니다.

자격 기준

자격 기준

임상 연구에 참여하고자 하는 사람들이 충족해야 하는 주요 요구 사항 또는 그들이 가져야 할 특성. 자격 기준은 포함 기준(사람이 연구에 참여하는 데 필요함)과 제외 기준(사람이 참여하지 못하게 하는 것)으로 구성됩니다. 적격성 기준 유형에는 연구가 건강한 지원자를 받아들이는지, 연령 또는 연령 그룹 요구 사항이 있는지 또는 성별에 따라 제한되는지가 포함됩니다.

공부할 수 있는 나이

18년 이상 (성인, 고령자)

건강한 자원 봉사자를 받아들입니다

아니

샘플링 방법

비확률 샘플

연구 인구

제2형 당뇨병, 고혈압, 심부전 및/또는 만성 신장 질환이 있는 성인

설명

포함 기준:

  1. 만 18세 이상
  2. 제2형 당뇨병, 고혈압, 심부전 및/또는 만성 신장 질환이 있는 경우
  3. 레지스트리 참여에 대한 서면 동의 제공

제외 기준:

  1. 기대 수명이 1년 미만인 생명을 위협하는 동반 질환이 있는 경우
  2. 정보에 입각한 동의가 필요한 중재적 임상시험 참여

공부 계획

이 섹션에서는 연구 설계 방법과 연구가 측정하는 내용을 포함하여 연구 계획에 대한 세부 정보를 제공합니다.

연구는 어떻게 설계됩니까?

디자인 세부사항

  • 관찰 모델: 다른
  • 시간 관점: 유망한

코호트 및 개입

그룹/코호트

그룹/코호트

생물 의학 또는 건강 결과에 대해 평가되는 관찰 연구의 참가자 그룹 또는 하위 그룹입니다.
T2DM Cohort
Patients with T2DM as enrollment motif or T2DM as comorbidity
HTN Cohort
Patients with HTN as enrollment motif or HTN as comorbidity
CKD Cohort
Patients with CKD as enrollment motif or CKD as comorbidity
HF Cohort
Patients with HF as enrollment motif or HF as comorbidity

연구는 무엇을 측정합니까?

주요 결과 측정

주요 결과 측정

임상 연구 프로토콜에서 개입/치료의 효과를 평가하는 데 가장 중요한 계획된 결과 측정. 대부분의 임상 연구에는 하나의 주요 결과 측정이 있지만 일부는 둘 이상입니다.
결과 측정
측정값 설명
기간
1. Age of particpants
기간: At Baseline
Age of participants at enrollment reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in years.
At Baseline
2. Percentage of Participants by Sex
기간: At baseline
Distribution of participants by sex (male/female) reported as counts and percentages.
At baseline
3. Percentage of Participants by Ethnicity
기간: At Baseline
Distribution of participants by ethnicity reported as counts and percentages for each ethnic category.
At Baseline
4. Percentage of Participants by Education Level
기간: At Baseline
Distribution of participants by education level reported as counts and percentages for each education category.
At Baseline
5. Percentage of Participants by Marital Status
기간: At Baseline
Distribution of participants by marital status reported as counts and percentages for each marital status category.
At Baseline
6. Percentage of Participants with Family History of Cardiovascular and Renal-Metabolic Disease
기간: At Baseline
Percentage of participants with a family history of cardiovascular, renal, or metabolic (CVRM) disease (yes/no) reported as counts and percentages.
At Baseline
7.Percentage of Participants by Physical Activity Level
기간: At Baseline
Distribution of participants by physical activity level category reported as counts and percentages.
At Baseline
8. Percentage of Participants by Smoking Status
기간: At Baseline
Distribution of participants by smoking status (current smoker/former smoker/never smoked) reported as counts and percentages.
At Baseline
9. Percentage of Participants by Alcohol Consumption
기간: At Baseline
Distribution of participants by alcohol consumption category reported as counts and percentages.
At Baseline
10. Body Weight of Participants
기간: At Baseline
Body weight of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kilograms (kg).
At Baseline
11. Height of Participants
기간: At Baseline
Height of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in meters (m).
At Baseline
12. Body Mass Index (BMI) of Participants
기간: At Baseline
Body mass index (BMI), calculated from weight and height, reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kg/m².
At Baseline
13. Waist Circumference of Participants
기간: At Baseline
Waist circumference of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in centimeters (cm).
At Baseline
14. Waist-to-Hip Ratio of Participants
기간: At Baseline
Waist-to-hip ratio of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) (unitless ratio).
At Baseline
15. Waist-to-Height Ratio of Participants
기간: At Baseline
Waist-to-height ratio of participants reported as mean ± standard deviation (SD) and median with interquartile range (IQR) (unitless ratio).
At Baseline
16. Percentage of Participants by Cardiac and Renal Functional Measurements Category
기간: At Baseline
Distribution of participants by cardiac and renal functional measurement categories reported as counts and percentages.
At Baseline
17. Primary Disease Duration
기간: At Baseline
Duration of primary disease (T2DM, HTN, HF, or CKD) from initial diagnosis to enrollment reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in years.
At Baseline
18. Percentage of Participants by Number and Types of Comorbidities
기간: At Baseline
Distribution of participants by number and types of comorbidities reported as counts and percentages for each comorbidity category.
At Baseline
19. Percentage of Participants by NYHA Functional Class
기간: At Baseline
Distribution of heart failure participants by New York Heart Association (NYHA) functional class (I, II, III, IV) reported as counts and percentages.
At Baseline
20. Percentage of Participants by Heart Failure Phenotype
기간: At Baseline
Distribution of heart failure participants by phenotype (HFrEF: ejection fraction ≤40%, HFmrEF: 41-49%, HFpEF: ≥50%) reported as counts and percentages.
At Baseline
21. Percentage of Participants by Heart Failure Etiology
기간: At Baseline
Distribution of heart failure participants by etiology (ischemic, non-ischemic, valvular, hypertensive, other) reported as counts and percentages.
At Baseline
22. Percentage of Participants by CKD Etiology
기간: At Baseline
Distribution of chronic kidney disease participants by etiology (diabetic nephropathy, hypertensive nephrosclerosis, glomerulonephritis, other) reported as counts and percentages.
At Baseline
23. Percentage of Participants by Hypertension Stage
기간: At Baseline
Distribution of hypertension participants by stage (Stage 1, Stage 2, Stage 3) reported as counts and percentages.
At Baseline
24. Percentage of Participants by Secondary Hypertension Etiology
기간: At Baseline
Distribution of participants with secondary hypertension by etiology reported as counts and percentages for each etiology category.
At Baseline
25. Office Systolic and Diastolic Blood Pressure
기간: At Baseline
Office blood pressure reported as mean systolic blood pressure ± standard deviation (SD) and mean diastolic blood pressure ± SD in mmHg.
At Baseline
26. Home Blood Pressure Monitoring (HBPM) Systolic and Diastolic Values
기간: At Baseline
Home blood pressure monitoring (HBPM) values reported as mean systolic blood pressure ± standard deviation (SD) and mean diastolic blood pressure ± SD in mmHg.
At Baseline
27. Ambulatory Blood Pressure Monitoring (ABPM) Systolic and Diastolic Values
기간: At Baseline
Ambulatory blood pressure monitoring (ABPM) values reported as mean systolic blood pressure ± standard deviation (SD) and mean diastolic blood pressure ± SD in mmHg.
At Baseline
28. Blood HbA1c
기간: Average of 3 years
HbA1c values reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in %
Average of 3 years
29. Fasting Glucose
기간: Average of 3 years
Fasting Glucose reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL
Average of 3 years
30. Lipid Profile Testing
기간: Average of 3 years
Total cholesterol, LDL-C, HDL-C, triglycerides reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL
Average of 3 years
31. Serum Creatinine
기간: Average of 3 years
Serum creatinine value reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL.
Average of 3 years
32. Estimated Glomerular Filtration Rate (eGFR)
기간: Average of 3 years
Estimated glomerular filtration rate (eGFR) reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mL/min/1.73m².
Average of 3 years
33. Urine Albumin-to-Creatinine Ratio (UACR)
기간: Average of 3 years
Urine albumin-to-creatinine ratio (UACR) reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/g.
Average of 3 years
34. Serum Electrolyte Values
기간: Avergae of 3 years
Serum electrolyte values (sodium, potassium, chloride, bicarbonate) reported individually as mean ± standard deviation (SD) and median with interquartile range (IQR) in mmol/L.
Avergae of 3 years
35. Frequency of HbA1c Testing
기간: Average of 3 years
Frequency of glycated hemoglobin (HbA1c) testing reported as counts and percentages of participants tested per monitoring period.
Average of 3 years
36. Frequency of Fasting Glucose Testing
기간: Average of 3 years
Frequency of fasting glucose testing reported as counts and percentages of participants tested per monitoring period.
Average of 3 years
37. Frequency of Lipid Profile Testing
기간: Average of 3 years
Frequency of lipid profile testing (total cholesterol, LDL-C, HDL-C, triglycerides) reported as counts and percentages of participants tested per monitoring period.
Average of 3 years
38. Frequency of Serum Creatinine Testing
기간: Average of 3 years
Frequency of serum creatinine testing reported as counts and percentages of participants tested per monitoring period.
Average of 3 years
39. Frequency of eGFR Assessment
기간: Average of 3 years
Frequency of estimated glomerular filtration rate (eGFR) assessment reported as counts and percentages of participants assessed per monitoring period.
Average of 3 years
40. Frequency of Urine Albumin-to-Creatinine Ratio Testing
기간: Average of 3 years
Frequency of urine albumin-to-creatinine ratio (UACR) testing reported as counts and percentages of participants tested per monitoring period.
Average of 3 years
41. Echocardiography
기간: Average of 3 years
Frequency of echocardiography abnormalities reported as counts and percentages
Average of 3 years
42. Electrocardiogram (ECG)
기간: Average of 3 years
Frequency of electrocardiogram (ECG) abnormalities reported as counts and percentages
Average of 3 years
43. Participants Receiving Dietary Modification Counseling
기간: Average of 3 years
Percentage of participants receiving dietary modification counseling or intervention reported as counts and percentages.
Average of 3 years
44. Participants Enrolled in Exercise Programs
기간: Average of 3 years
Percentage of participants enrolled in or recommended exercise programs reported as counts and percentages.
Average of 3 years
45. Participants Receiving Weight Management Interventions
기간: Average of 3 years
Percentage of participants receiving weight management interventions or counseling reported as counts and percentages.
Average of 3 years
46. Participants Receiving Smoking Cessation Counseling
기간: Average of 3 years
Percentage of participants receiving smoking cessation counseling or interventions reported as counts and percentages.
Average of 3 years
47. Participants Receiving Alcohol Reduction Counseling
기간: Average of 3 years
Percentage of participants receiving alcohol reduction counseling or interventions reported as counts and percentages.
Average of 3 years
48. Percentage of Participants by Line of Treatment
기간: Average of 3 years
Distribution of participants by line of pharmacological treatment (first-line, second-line, third-line or higher) reported as counts and percentages.
Average of 3 years
49. Percentage of Participants by Drug Class
기간: Average of 3 years
Distribution of participants by drug class prescribed (e.g., SGLT2i, GLP-1RA, ACEi, ARBs, beta-blockers, MRAs, CCBs, diuretics, metformin, DPP-4i, sulfonylureas, insulin) reported as counts and percentages.
Average of 3 years
50. Percentage of Participants Undergoing Cardiac Surgeries (CABG or PCI)
기간: Average of 3 years
Percentage of participants undergoing coronary artery bypass graft (CABG) or percutaneous coronary intervention (PCI) reported as counts and percentages for each procedure type.
Average of 3 years
51. Percentage of Participants Receiving Dialysis
기간: Average of 3 years
Percentage of participants receiving dialysis procedures (hemodialysis or peritoneal dialysis) reported as counts and percentages.
Average of 3 years
52. Percentage of Participants with Cardiac Device Implantation
기간: Average of 3 years
Percentage of participants with cardiac device implantation (pacemaker, implantable cardioverter-defibrillator [ICD], or cardiac resynchronization therapy [CRT]) reported as counts and percentages for each device type.
Average of 3 years
53. Mean Duration of Pharmacological Treatments
기간: Average of 3 years
Duration of pharmacological treatments reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in months for each drug class.
Average of 3 years
54. Drug Dose of Pharmacological Treatments
기간: Average of 3 years
Drug dose of pharmacological treatments prescribed reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in milligrams (mg) for each drug class.
Average of 3 years
55. Number of Primary Care Visits per Participant
기간: Average of 3 years
Total number of primary care visits reported as total visits and mean visits per participant ± standard deviation (SD).
Average of 3 years
56. Number of Tertiary Care Hospital Visits per Participant
기간: Average of 3 years
Total number of tertiary care hospital visits reported as total visits and mean visits per participant ± standard deviation (SD).
Average of 3 years
57. Number of Specialist Care Visits per Participant
기간: Average of 3 years
Total number of specialist care visits reported as total visits and mean visits per participant ± standard deviation (SD).
Average of 3 years
58.Number of Emergency Department Visits per Participant
기간: Average of 3 years
Total number of emergency department visits reported as total visits and mean visits per participant ± standard deviation (SD).
Average of 3 years
59. All-Cause Hospitalizations
기간: Average of 3 years
All-cause hospitalizations reported as counts, percentages of participants with at least one hospitalization, total hospitalizations, and rate per 100 person-years.
Average of 3 years
60. Disease-Specific Hospitalizations
기간: Average of 3 years
Disease-specific hospitalizations (related to T2DM, HTN, HF, or CKD) reported as counts, percentages of participants with at least one hospitalization, total hospitalizations, and rate per 100 person-years.
Average of 3 years
61. All-Cause Emergency Department Visits
기간: Average of 3 years
All-cause emergency department visits reported as counts, percentages of participants with at least one visit, total visits, and rate per 100 person-years.
Average of 3 years
62. Disease-Specific Emergency Department Visits
기간: Average of 3 years
Disease-specific emergency department visits (related to T2DM, HTN, HF, or CKD) reported as counts, percentages of participants with at least one visit, total visits, and rate per 100 person-years.
Average of 3 years
63. Length of Hospital Stay
기간: Average of 3 years
Length of hospital stay reported as median with interquartile range (IQR) and mean ± standard deviation (SD) in days.
Average of 3 years

2차 결과 측정

2차 결과 측정

임상 연구 프로토콜에서 개입의 효과를 평가하기 위한 1차 결과 측정만큼 중요하지는 않지만 여전히 관심이 있는 계획된 결과 측정입니다. 대부분의 임상 연구에는 하나 이상의 2차 결과 측정이 있습니다.
결과 측정
측정값 설명
기간
1. Incidence of Level 1 Hypoglycemic Events (Blood Glucose <70 mg/dL)
기간: Average of 3 years
Hypoglycemic events defined as blood glucose <70 mg/dL (Level 1 - alert value) reported as counts, percentages of participants with at least one event, total number of events, and rate per 100 person-years.
Average of 3 years
2.Incidence of Level 2 Hypoglycemic Events (Blood Glucose <54 mg/dL)
기간: Average of 3 years
Hypoglycemic events defined as blood glucose <54 mg/dL (Level 2 - clinically significant) reported as counts, percentages of participants with at least one event, total number of events, and rate per 100 person-years.
Average of 3 years
3.Incidence of Level 3 Hypoglycemic Events (Requiring Third-Party Assistance)
기간: Average of 3 years
Severe hypoglycemic events requiring third-party assistance (Level 3) reported as counts, percentages of participants with at least one event, total number of events, and rate per 100 person-years.
Average of 3 years
4.Incidence of Diabetic Ketoacidosis (DKA) Episodes
기간: Average of 3 years
Diabetic ketoacidosis (DKA) episodes reported as counts, percentages of participants with at least one episode, and total number of episodes.
Average of 3 years
5. Percentage of Participants with Uncontrolled Type 2 Diabetes (HbA1c ≥7%)
기간: Average of 3 years
Percentage of participants with uncontrolled type 2 diabetes mellitus defined as HbA1c ≥7% reported as counts and percentages.
Average of 3 years
6. Percentage of Participants with Uncontrolled Hypertension (BP ≥140/90 mmHg)
기간: Average of 3 years
Percentage of participants with uncontrolled hypertension defined as blood pressure ≥140/90 mmHg or ≥130/80 mmHg (per applicable guideline threshold) reported as counts and percentages.
Average of 3 years
7. Incidence of Retinopathy
기간: Average of 3 years
Incidence of retinopathy reported as counts, percentages of participants with new-onset retinopathy, and incidence per 100 person-years.
Average of 3 years
8. Incidence of Nephropathy
기간: Average of 3 years
Incidence of nephropathy reported as counts, percentages of participants with new-onset nephropathy, and incidence per 100 person-years.
Average of 3 years
9. Incidence of Neuropathy
기간: Average of 3 years
Incidence of neuropathy reported as counts, percentages of participants with new-onset neuropathy, and incidence per 100 person-years.
Average of 3 years
10. Incidence of Myocardial Infarction (MI)
기간: Average of 3 years
Incidence of myocardial infarction (MI) reported as counts, percentages of participants with at least one event, and incidence per 100 person-years.
Average of 3 years
11. Incidence of Stroke
기간: Average of 3 years
Incidence of stroke reported as counts, percentages of participants with at least one event, and incidence per 100 person-years.
Average of 3 years
12. Incidence of Peripheral Arterial Disease (PAD)
기간: Average of 3 years
Incidence of peripheral arterial disease (PAD) reported as counts, percentages of participants with new-onset PAD, and incidence per 100 person-years.
Average of 3 years
13. Incidence of Coronary Revascularization
기간: Average of 3 years
Incidence of coronary revascularization procedures reported as counts, percentages of participants undergoing revascularization, and incidence per 100 person-years.
Average of 3 years
14. Incidence of New-Onset Heart Failure
기간: Average of 3 years
Incidence of new-onset heart failure diagnosis reported as counts, percentages of participants with new HF diagnosis, and incidence per 100 person-years.
Average of 3 years
15. Incidence of New-Onset Chronic Kidney Disease
기간: Average of 3 years
Incidence of new-onset chronic kidney disease defined as eGFR <60 mL/min/1.73m² or urine albumin-to-creatinine ratio (UACR) ≥30 mg/g reported as counts, percentages of participants, and incidence per 100 person-years.
Average of 3 years
16. Percentage of Participants Developing Anemia
기간: Average of 3 years
Percentage of participants developing anemia as a cardio-renal complication reported as counts and percentages.
Average of 3 years
17. Percentage of Participants Developing Hyperkalemia
기간: Average of 3 years
Percentage of participants developing hyperkalemia as a cardio-renal complication reported as counts and percentages.
Average of 3 years
18. Percentage of Participants with Heart Failure Hospitalization
기간: Average of 3 years
Percentage of participants with at least one heart failure hospitalization reported as counts and percentages.
Average of 3 years
19. Percentage of Participants with eGFR Decline
기간: Average of 3 years
Percentage of participants experiencing a clinically significant decline in estimated glomerular filtration rate (eGFR) reported as counts and percentages.
Average of 3 years
20. Percentage of Participants with RRT Initiation or ESRD Progression
기간: Average of 3 years
Percentage of participants initiating renal replacement therapy (RRT) or progressing to end-stage renal disease (ESRD) reported as counts and percentages.
Average of 3 years
21. Incidence of Renal Replacement Therapy Initiation or ESRD Progression
기간: Average of 3 years
Incidence of renal replacement therapy (RRT) initiation or progression to end-stage renal disease (ESRD) reported as counts, percentages of participants, and rate per 100 person-years.
Average of 3 years
22. Incidence of All-Cause Mortality
기간: Average of 3 years
All-cause mortality reported as counts, percentages of participants, and rate per 100 person-years.
Average of 3 years
23. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Incidence of Hypoglycemic Events
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and incidence of hypoglycemic events.
Average of 3 years
24. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Uncontrolled T2DM
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and uncontrolled T2DM (HbA1c ≥7%).
Average of 3 years
26. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Uncontrolled HTN
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and uncontrolled HTN (BP ≥140/90 mmHg).
Average of 3 years
27. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and Heart Failure Worsening
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and heart failure worsening.
Average of 3 years
28. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and CKD Progression/RRT Initiation/ESRD Progression
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and CKD Progression/RRT Initiation/ESRD Progression
Average of 3 years
29. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and All-cause mortality
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and All-cause mortality
Average of 3 years
30. Correlation Between Patient Characteristics, Disease Management, Quality of Care, and and Myocardial Infarction/Stroke/PAD
기간: Average of 3 years
Adjusted hazard ratios (HR) with 95% confidence intervals (CI) and p-values from multivariable regression models examining correlations between patient characteristics (age, sex, ethnicity, BMI, comorbidities), disease management (medication adherence, treatment intensification, lifestyle modifications), quality of care (treatment targets, monitoring frequency, guideline adherence), and Myocardial Infarction/Stroke/PAD
Average of 3 years
31. Correlation Between Patient Characteristics and Treatment Choices for T2DM
기간: Average of 3 years
Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for T2DM (line of treatment and drug class: metformin, SGLT2i, GLP-1RA, DPP-4i, sulfonylureas, insulin).
Average of 3 years
32. Correlation Between Patient Characteristics and Treatment Choices for HTN
기간: Average of 3 years
Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for HTN (line of treatment and drug class: ACEi, ARBs, CCBs, beta-blockers, diuretics).
Average of 3 years
33. Correlation Between Patient Characteristics and Treatment Choices for HF
기간: Average of 3 years
Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for HF (line of treatment and drug class: ACEi, ARBs, ARNI, beta-blockers, MRAs, SGLT2i).
Average of 3 years
34. Correlation Between Patient Characteristics and Treatment Choices for CKD
기간: Average of 3 years
Adjusted odds ratios (OR) with 95% confidence intervals (CI) and p-values from multivariable logistic regression models examining correlations between socio-demographic/clinical characteristics (age, sex, ethnicity, education, insurance, disease severity, comorbidities, kidney/cardiac function, contraindications, intolerances) and treatment choices for CKD (line of treatment and drug class: ACEi, ARBs, SGLT2i).
Average of 3 years
35. Percentage of Participants with Dyslipidemia by Category
기간: Average of 3 years
Distribution of participants with dyslipidemia by category reported as counts and percentages.
Average of 3 years
36. Percentage of Participants with Obesity by Category
기간: Average of 3 years
Distribution of participants with obesity by BMI category reported as counts and percentages.
Average of 3 years
37. Percentage of Participants Achieving LDL-C Target <100 mg/dL
기간: Average of 3 years
Percentage of participants achieving low-density lipoprotein cholesterol (LDL-C) target of <100 mg/dL reported as counts and percentages.
Average of 3 years
38. Percentage of Participants Achieving LDL-C Target <70 mg/dL
기간: Average of 3 years
Percentage of participants achieving low-density lipoprotein cholesterol (LDL-C) target of <70 mg/dL reported as counts and percentages.
Average of 3 years
40. Percentage of Participants Achieving Weight Loss ≥5%
기간: Average of 3 years
Percentage of participants achieving weight loss of 5% or more from baseline reported as counts and percentages.
Average of 3 years
41. Percentage of Participants Achieving Weight Loss ≥10%
기간: Average of 3 years
Percentage of participants achieving weight loss of 10% or more from baseline reported as counts and percentages.
Average of 3 years
42. Percentage of Participants Achieving Weight Loss ≥15%
기간: Average of 3 years
Percentage of participants achieving weight loss of 15% or more from baseline reported as counts and percentages.
Average of 3 years
43. Percentage of Participants Developing Metabolic Dysfunction-Associated Steatotic Liver Disease (MASLD)
기간: Average of 3 years
Percentage of participants developing metabolic dysfunction-associated steatotic liver disease (MASLD) as an obesity complication reported as counts and percentages.
Average of 3 years
44. Percentage of Participants Developing T2DM as an Obesity Complication
기간: Average of 3 years
Percentage of participants developing new-onset type 2 diabetes mellitus (T2DM) as an obesity complication reported as counts and percentages.
Average of 3 years
45. Incidence of Myocardial Infarction/Stroke in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Incidence of myocardial infarction (MI)/stroke in participants with dyslipidemia and/or obesity reported as counts and percentages.
Average of 3 years
46. Lipid levels in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Total cholesterol, LDL-C, HDL-C, Triglyceride in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in mg/dL.
Average of 3 years
47. Body Weight in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Body weight in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kilograms (kg).
Average of 3 years
48. BMI in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Body mass index (BMI) in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in kg/m².
Average of 3 years
49. Waist Circumference in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Waist circumference in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) in centimeters (cm).
Average of 3 years
50. Waist-to-Hip Ratio in Participants with Dyslipidemia/Obesity
기간: Average of 3 years through
Waist-to-hip ratio in participants with dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and median with interquartile range (IQR) (unitless ratio).
Average of 3 years through
51. Frequency of Lipid Profile Monitoring in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Frequency of lipid profile testing in participants with dyslipidemia and/or obesity reported as counts and percentages of participants monitored per clinical guidelines.
Average of 3 years
52. Frequency of Weight and BMI Monitoring in Participants with Dyslipidemia/Obesity
기간: Average of 3 years
Frequency of weight and BMI measurements in participants with dyslipidemia and/or obesity reported as counts and percentages of participants monitored per clinical guidelines.
Average of 3 years
53. Frequency of Obesity Complication Assessments
기간: Average of 3 years
Frequency of obesity complication assessments (screening for MASLD, T2DM, cardiovascular risk) reported as counts and percentages of participants assessed per clinical guidelines.
Average of 3 years
54. Percentage of Participants Receiving Lifestyle Modifications for Dyslipidemia/Obesity
기간: Average of 3 years
Percentage of participants receiving lifestyle modification interventions (dietary, exercise, behavioral) for dyslipidemia and/or obesity management reported as counts and percentages.
Average of 3 years
55. Percentage of Participants Receiving Statins/Ezetimibe/PCSK9 Inhibitors/Fibrates/Omega-3 Farry Acids/GLP-1 Receptor Agonists for Obesity/ other Anti-Obesity Medications
기간: Average of 3 years
Counts and Percentage of Participants Receiving Statins/Ezetimibe/PCSK9 Inhibitors/Fibrates/Omega-3 Farry Acids/GLP-1 Receptor Agonists for Obesity/ other Anti-Obesity Medications
Average of 3 years
56. Percentage of Participants Undergoing Bariatric Surgery
기간: Average of 3 years
Percentage of participants undergoing bariatric surgery for obesity management reported as counts and percentages.
Average of 3 years
57. Mean Number of Visits for Dyslipidemia/Obesity
기간: Average of 3 years
Number of visits for dyslipidemia and/or obesity management reported as counts and percentages of participants with at least one visit. Visits for dyslipidemia and/or obesity management reported as mean ± standard deviation (SD) and total visits.
Average of 3 years
58. Percentage of Participants Hospitalized for Dyslipidemia/Obesity
기간: Average of 3 years
Percentage of participants with at least one hospitalization related to dyslipidemia and/or obesity reported as counts and percentages. Hospitalizations for dyslipidemia and/or obesity reported as mean ± standard deviation (SD) and total hospitalizations.
Average of 3 years

공동 작업자 및 조사자

여기에서 이 연구와 관련된 사람과 조직을 찾을 수 있습니다.

스폰서

스폰서

연구를 시작하고 연구에 대한 권한과 통제권을 가진 조직 또는 사람.
AstraZeneca

수사관

수사관

임상 연구에 참여하는 연구원. 관련 용어에는 사이트 주임 조사관, 사이트 하위 조사자, 연구 의자, 연구 책임자 및 연구 주임 조사관이 포함됩니다.
  • 연구 책임자: Hardik Vasnawala, MD, AstraZeneca
  • 연구 책임자: Isidro Villanueva, MD, AstraZeneca
  • 연구 책임자: Ahmed Hadaoui, PharmD, AstraZeneca

간행물 및 유용한 링크

연구에 대한 정보 입력을 담당하는 사람이 자발적으로 이러한 간행물을 제공합니다. 이것은 연구와 관련된 모든 것에 관한 것일 수 있습니다.

일반 간행물

연구 기록 날짜

이 날짜는 ClinicalTrials.gov에 대한 연구 기록 및 요약 결과 제출의 진행 상황을 추적합니다. 연구 기록 및 보고된 결과는 공개 웹사이트에 게시되기 전에 특정 품질 관리 기준을 충족하는지 확인하기 위해 국립 의학 도서관(NLM)에서 검토합니다.

연구 주요 날짜

연구 시작 (실제)

연구 시작

첫 번째 참가자가 임상 연구에 등록된 실제 날짜입니다. "예상" 연구 시작 날짜는 연구자가 연구 시작 날짜가 될 것이라고 생각하는 날짜입니다.
2018년 2월 17일

기본 완료 (추정된)

기본 완료

임상 연구의 마지막 참가자가 1차 결과 측정을 위한 최종 데이터를 수집하기 위해 검사를 받거나 개입을 받은 날짜입니다. 임상 연구가 프로토콜에 따라 종료되었는지 또는 종료되었는지 여부는 이 날짜에 영향을 미치지 않습니다. 완료 날짜가 다른 1차 결과 측정이 둘 이상인 임상 연구의 경우 이 용어는 모든 1차 결과 측정에 대한 데이터 수집이 완료된 날짜를 나타냅니다. "예상" 기본 완료 날짜는 연구원이 연구의 기본 완료 날짜가 될 것이라고 생각하는 날짜입니다.
2030년 12월 31일

연구 완료 (추정된)

연구 완료

임상 연구의 마지막 참가자가 1차 결과 측정, 2차 결과 측정 및 부작용(즉, 마지막 참가자의 마지막 방문)에 대한 최종 데이터를 수집하기 위해 검사를 받거나 중재/치료를 받은 날짜입니다. "예상" 연구 완료 날짜는 연구원이 연구 완료 날짜가 될 것이라고 생각하는 날짜입니다.
2030년 12월 31일

연구 등록 날짜

최초 제출

최초 제출

연구 후원자 또는 연구자가 최초로 ClinicalTrials.gov에 연구 기록을 제출한 날짜. 일반적으로 처음 제출한 날짜와 ClinicalTrials.gov에서 기록을 사용할 수 있는 날짜(첫 게시 날짜) 사이에는 며칠의 지연이 있습니다.
2018년 5월 15일

QC 기준을 충족하는 최초 제출

QC 기준을 충족하는 최초 제출

연구 스폰서 또는 연구자가 국립 의학 도서관(NLM) 품질 관리(QC) 검토 기준과 일치하는 연구 기록을 처음 제출한 날짜입니다. 의뢰자 또는 조사자는 NLM의 QC 검토 기준이 충족되기 전에 연구 기록을 한 번 이상 수정하고 제출해야 할 수 있습니다. 연구 기록이 NLM QC 검토 기준과 일치하는지 확인하는 것은 후원자 또는 조사자의 책임입니다.
2018년 5월 29일

처음 게시됨 (실제)

처음 게시됨

National Library of Medicine(NLM) 품질 관리(QC) 검토가 완료된 후 ClinicalTrials.gov에서 연구 기록을 처음 사용할 수 있는 날짜입니다. 일반적으로 연구 후원자 또는 연구자가 연구 기록을 제출한 날짜와 처음 게시된 날짜 사이에는 며칠의 지연이 있습니다.
2018년 6월 8일

연구 기록 업데이트

마지막 업데이트 게시됨 (실제)

마지막 업데이트 게시됨

ClinicalTrials.gov에서 연구 기록이 변경된 가장 최근 날짜. 연구 후원자 또는 연구자가 변경 사항을 ClinicalTrials.gov에 제출한 시점(마지막 업데이트 제출 날짜)과 마지막 업데이트 게시 날짜 사이에 지연이 있을 수 있습니다.
2026년 9월 9일

QC 기준을 충족하는 마지막 업데이트 제출

QC 기준을 충족하는 마지막 업데이트 제출

연구 후원자 또는 연구자가 국립 의학 도서관(NLM) 품질 관리(QC) 검토 기준과 일치하는 연구 기록에 대한 변경 사항을 제출한 가장 최근 날짜. 연구 기록이 NLM QC 검토 기준과 일치하는지 확인하는 것은 후원자 또는 조사자의 책임입니다.
2026년 9월 7일

마지막으로 확인됨

마지막으로 확인됨

연구 후원자 또는 조사자가 ClinicalTrials.gov에서 임상 연구에 대한 정보가 정확하고 최신 정보라고 확인한 가장 최근 날짜. 모집 상태가 모집인 연구인 경우; 아직 모집하지 않았습니다. 또는 활성, 비모집이 지난 2년 이내에 확인되지 않은 경우 연구의 모집 상태는 알 수 없음으로 표시됩니다.
2026년 8월 1일

추가 정보

이 연구와 관련된 용어

키워드

추가 관련 MeSH 약관

기타 연구 ID 번호

기타 연구 ID 번호

연구 후원자, 기금 제공자 또는 다른 사람이 임상 연구에 할당한 NCT 번호 이외의 식별자 또는 ID 번호. 이 번호에는 다른 시험 등록의 고유 식별자와 미국 국립보건원(National Institutes of Health) 보조금 번호가 포함될 수 있습니다.
  • D1690R00044

개별 참가자 데이터(IPD) 계획

개별 참가자 데이터(IPD)를 공유할 계획입니까?

예

IPD 계획 설명

자격을 갖춘 연구원은 요청 포털을 통해 임상 시험을 후원하는 AstraZeneca 그룹의 익명화된 개별 환자 수준 데이터에 대한 액세스를 요청할 수 있습니다. 모든 요청은 AZ 공개 약정에 따라 평가됩니다.

https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure. 예, AZ가 IPD에 대한 요청을 수락하고 있음을 나타내지만 모든 요청이 공유된다는 의미는 아닙니다.

IPD 공유 기간

AstraZeneca는 EFPIA 제약 데이터 공유 원칙에 대한 약속에 따라 데이터 가용성을 충족하거나 초과할 것입니다. 타임라인에 대한 자세한 내용은 https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure에서 공개 약속을 참조하십시오.

IPD 공유 액세스 기준

요청이 승인되면 AstraZeneca는 승인된 후원 도구에서 비식별화된 개별 환자 수준 데이터에 대한 액세스를 제공합니다. 요청된 정보에 액세스하기 전에 서명된 데이터 공유 계약(데이터 접근자를 위한 협상 불가능한 계약)이 있어야 합니다. 또한 모든 사용자가 액세스 권한을 얻으려면 SAS MSE의 약관에 동의해야 합니다. 자세한 내용은 https://astrazenecagrouptrials.pharmacm.com/ST/Submission/Disclosure에서 공개 성명서를 검토하십시오.

약물 및 장치 정보, 연구 문서

미국 FDA 규제 의약품 연구

아니

미국 FDA 규제 기기 제품 연구

아니

이 정보는 변경 없이 clinicaltrials.gov 웹사이트에서 직접 가져온 것입니다. 귀하의 연구 세부 정보를 변경, 제거 또는 업데이트하도록 요청하는 경우 register@clinicaltrials.gov. 문의하십시오. 변경 사항이 clinicaltrials.gov에 구현되는 즉시 저희 웹사이트에도 자동으로 업데이트됩니다. .

쿠키 설정

당사는 당사 웹 사이트에서 최상의 경험을 제공하기 위해 쿠키를 사용합니다. 자세한 내용은 개인 정보 보호 및 쿠키 정책 을주의 깊게 읽어보십시오. ...>>>귀하는 정책에 설명 된대로 귀하의 웹 사이트 또는 컴퓨터에서 쿠키를 삭제하여 언제든지 귀하의 기본 설정을 변경하거나 동의를 철회 할 수 있습니다. 동의하고 아래 "설정 관리"섹션에서 해당 상자를 선택하여 기본 설정을 선택하십시오. 이 웹 사이트의 일부를 사용하기 전에 서비스 약관 을주의 깊게 읽어 보시기 바랍니다.
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