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Trial details imported from ClinicalTrials.gov

For full trial details, please see the original record at https://clinicaltrials.gov/study/NCT02414854




Registration number
NCT02414854
Ethics application status
Date submitted
8/04/2015
Date registered
13/04/2015
Date last updated
23/10/2018

Titles & IDs
Public title
Evaluation of Dupilumab in Patients With Persistent Asthma (Liberty Asthma Quest)
Scientific title
A Randomized, Double Blind, Placebo-Controlled, Parallel Group Study to Evaluate the Efficacy and Safety of Dupilumab in Patients With Persistent Asthma
Secondary ID [1] 0 0
2014-004940-36
Secondary ID [2] 0 0
EFC13579
Universal Trial Number (UTN)
Trial acronym
Linked study record

Health condition
Health condition(s) or problem(s) studied:
Asthma 0 0
Condition category
Condition code
Respiratory 0 0 0 0
Asthma

Intervention/exposure
Study type
Interventional
Description of intervention(s) / exposure
Treatment: Drugs - Dupilumab
Treatment: Drugs - Placebo
Treatment: Drugs - Inhaled corticosteroid (ICS) therapy
Treatment: Drugs - Albuterol/Salbutamol
Treatment: Drugs - Levalbuterol/Levosalbutamol

Placebo comparator: Placebo (for Dupilumab 200 mg) q2w - 2 subcutaneous injections of matched Placebo (for Dupilumab 200 mg) as a loading dose on Day 1 (Week 0), followed by a single injection every 2 weeks (q2w) from Week 2 to Week 50 in combination with stable ICS and up to 2 other controller medicines. Albuterol/salbutamol or levalbuterol/levosalbutamol was given as reliever medication.

Experimental: Dupilumab 200 mg q2w - 2 subcutaneous injections of Dupilumab 200 mg (for a total of 400 mg) as a loading dose on Day 1 (Week 0), followed by a single 200 mg injection q2w from Week 2 to Week 50 in combination with stable ICS and up to 2 other controller medicines. Albuterol/salbutamol or levalbuterol/levosalbutamol was given as reliever medication.

Placebo comparator: Placebo (for Dupilumab 300 mg) q2w - 2 subcutaneous injections of matched Placebo (for Dupilumab 300 mg) as a loading dose on Day 1 (Week 0), followed by a single injection q2w from Week 2 to Week 50 in combination with stable ICS and up to 2 other controller medicines. Albuterol/salbutamol or levalbuterol/levosalbutamol was given as reliever medication.

Experimental: Dupilumab 300 mg q2w - 2 subcutaneous injections of Dupilumab 300 mg (for a total of 600 mg) as a loading dose on Day 1 (Week 0), followed by a single 300 mg injection q2w from Week 2 to Week 50 in combination with stable ICS and up to 2 other controller medicines . Albuterol/salbutamol or levalbuterol/levosalbutamol was given as reliever medication.


Treatment: Drugs: Dupilumab
Solution for injection, Subcutaneous injection in the abdomen, upper thigh or upper arm.

Treatment: Drugs: Placebo
Solution for injection, Subcutaneous injection in the abdomen, upper thigh or upper arm.

Treatment: Drugs: Inhaled corticosteroid (ICS) therapy
Oral inhalation, stable dose (medium or high dose) of ICS in combination with up to 2 other controller medicines (second or third controller therapy)

Treatment: Drugs: Albuterol/Salbutamol
Oral inhalation as needed

Treatment: Drugs: Levalbuterol/Levosalbutamol
Oral inhalation as needed

Intervention code [1] 0 0
Treatment: Drugs
Comparator / control treatment
Control group

Outcomes
Primary outcome [1] 0 0
Annualized Rate of Severe Exacerbation Events During The 52-Week Treatment Period: Intent-to-Treat (ITT) Population
Timepoint [1] 0 0
Baseline to Week 52
Primary outcome [2] 0 0
Absolute Change From Baseline in Pre-Bronchodilator Forced Expiratory Volume in 1 Second (FEV1) at Week 12: ITT Population
Timepoint [2] 0 0
Baseline, Week 12
Secondary outcome [1] 0 0
Percent Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population
Timepoint [1] 0 0
Baseline, Week 12
Secondary outcome [2] 0 0
Annualized Rate of Severe Exacerbation Events During The 52-Week Treatment Period: ITT Population With Baseline Eosinophil >=0.15 Giga/L
Timepoint [2] 0 0
Baseline to Week 52
Secondary outcome [3] 0 0
Absolute Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With Baseline Eosinophil >=0.15 Giga/L
Timepoint [3] 0 0
Baseline, Week 12
Secondary outcome [4] 0 0
Annualized Rate of Severe Exacerbation Events During The 52-Week Treatment Period: ITT Population With Baseline Eosinophil >=0.3 Giga/L
Timepoint [4] 0 0
Baseline to Week 52
Secondary outcome [5] 0 0
Absolute Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With Baseline Eosinophil >=0.3 Giga/L
Timepoint [5] 0 0
Baseline, Week 12
Secondary outcome [6] 0 0
Annualized Rate of Severe Exacerbation Events During The 52-Week Treatment Period: ITT Population With Baseline Eosinophil <0.3 Giga/L
Timepoint [6] 0 0
Baseline to Week 52
Secondary outcome [7] 0 0
Annualized Rate of Severe Exacerbation Events During The 52-Week Treatment Period: ITT Population With High Dose ICS at Baseline
Timepoint [7] 0 0
Baseline to Week 52
Secondary outcome [8] 0 0
Absolute Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With High Dose ICS at Baseline
Timepoint [8] 0 0
Baseline, Week 12
Secondary outcome [9] 0 0
Change From Baseline in Asthma Quality of Life Questionnaire With Standardized Activities (AQLQ [S]) Self-Administered Global Score at Week 24: ITT Population
Timepoint [9] 0 0
Baseline, Week 24
Secondary outcome [10] 0 0
Change From Baseline in AQLQ (S) Self- Administered Global Score at Week 24: ITT Population With Baseline Eosinophil >=0.3 Giga/L
Timepoint [10] 0 0
Baseline, Week 24
Secondary outcome [11] 0 0
Change From Baseline in Asthma Control Questionnaire 5-item Version (ACQ-5) Score at Week 24: ITT Population
Timepoint [11] 0 0
Baseline, Week 24
Secondary outcome [12] 0 0
Annualized Rate of Severe Exacerbation Events Resulting in Hospitalization or Emergency Room Visit During The 52-Week Treatment Period: ITT Population
Timepoint [12] 0 0
Baseline to Week 52
Secondary outcome [13] 0 0
Absolute Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With Baseline Eosinophil <0.3 Giga/L
Timepoint [13] 0 0
Baseline, Week 12
Secondary outcome [14] 0 0
Percent Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With Baseline Eosinophil >=0.3 Giga/L
Timepoint [14] 0 0
Baseline, Week 12
Secondary outcome [15] 0 0
Percent Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With High Dose ICS at Baseline
Timepoint [15] 0 0
Baseline, Week 12
Secondary outcome [16] 0 0
Percent Change From Baseline in Pre-Bronchodilator FEV1 at Week 12: ITT Population With Baseline Eosinophil >=0.15 Giga/L
Timepoint [16] 0 0
Baseline, Week 12
Secondary outcome [17] 0 0
Absolute Change From Baseline in Pre-Bronchodilator FEV1 at Weeks 2, 4, 8, 24, 36, and 52: ITT Population
Timepoint [17] 0 0
Baseline, Weeks 2, 4, 8, 24, 36, and 52
Secondary outcome [18] 0 0
Percent Change From Baseline in Pre-Bronchodilator FEV1 at Weeks 2, 4, 8, 24, 36, and 52: ITT Population
Timepoint [18] 0 0
Baseline, Weeks 2, 4, 8, 24, 36, and 52
Secondary outcome [19] 0 0
Change From Baseline in Percent Predicted FEV1 at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [19] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [20] 0 0
Change From Baseline in Morning (AM)/Evening (PM) Peak Expiratory Flow (PEF) at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [20] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [21] 0 0
Change From Baseline in Forced Vital Capacity (FVC) at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [21] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [22] 0 0
Change From Baseline in Forced Expiratory Flow (FEF) 25-75% at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [22] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [23] 0 0
Change From Baseline in Post-Bronchodilator FEV1 at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [23] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [24] 0 0
Annualized Rate of Loss of Asthma Control (LOAC) Event During The 52-Week Treatment Period: ITT Population
Timepoint [24] 0 0
Baseline to Week 52
Secondary outcome [25] 0 0
Time to First Severe Exacerbation Event: Kaplan-Meier Estimates During The 52-Week Treatment Period: ITT Population
Timepoint [25] 0 0
Baseline up to Week 52
Secondary outcome [26] 0 0
Time to First LOAC Event: Kaplan-Meier Estimates During The 52-Week Treatment Period: ITT Population
Timepoint [26] 0 0
Baseline up to Week 52
Secondary outcome [27] 0 0
Change From Baseline in ACQ-5 Score at Weeks 2, 4, 8, 12, 36, and 52: ITT Population
Timepoint [27] 0 0
Baseline, Weeks 2, 4, 8, 12, 36, and 52
Secondary outcome [28] 0 0
Change From Baseline in Asthma Control Questionnaire 7-item Version (ACQ-7) Score at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [28] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [29] 0 0
Change From Baseline in Morning Asthma Symptom Score at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [29] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [30] 0 0
Change From Baseline in Evening Asthma Symptom Score at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [30] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [31] 0 0
Change From Baseline in Number of Nocturnal Awakenings Per Night at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [31] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [32] 0 0
Change From Baseline in Number of Puffs of Daily Reliever Medication Used Per 24 Hours at Weeks 2, 4, 8, 12, 24, 36, and 52: ITT Population
Timepoint [32] 0 0
Baseline, Weeks 2, 4, 8, 12, 24, 36, and 52
Secondary outcome [33] 0 0
Change From Baseline in AQLQ (S) Self-Administered Global Score at Weeks 12, 36, and 52: ITT Population
Timepoint [33] 0 0
Baseline, Weeks 12, 36, and 52
Secondary outcome [34] 0 0
Change From Baseline in European Quality of Life Working Group Health Status Measure 5 Dimensions, 5 Levels (EQ-5D-5L) Scores at Weeks 12, 24, 36, and 52: ITT Population
Timepoint [34] 0 0
Baseline, Weeks 12, 24, 36, and 52
Secondary outcome [35] 0 0
Change From Baseline in Hospital Anxiety and Depression Scale (HADS) Total Score at Weeks 12, 24, 36, and 52: ITT Population
Timepoint [35] 0 0
Baseline, Weeks 12, 24, 36, and 52
Secondary outcome [36] 0 0
Change From Baseline in 22-Item Sino Nasal Outcome Test (SNOT-22) Score at Weeks 12, 24, 36, and 52: ITT Population With Bilateral Nasal Polyposis/Chronic Rhinosinusitis
Timepoint [36] 0 0
Baseline, Weeks 12, 24, 36, and 52
Secondary outcome [37] 0 0
Change From Baseline in Standardized Rhinoconjunctivitis Quality Of Life Questionnaire, Ages 12+ (RQLQ[S]+12) Score at Weeks 12, 24, 36, and 52: ITT Population With Comorbid Allergic Rhinitis
Timepoint [37] 0 0
Baseline, Weeks 12, 24, 36, and 52

Eligibility
Key inclusion criteria
Inclusion criteria:

-Adults and adolescent participants with a physician diagnosis of asthma for =12 months, based on the Global Initiative for Asthma (GINA) 2014 Guidelines and the following criteria:

a) Existing treatment with medium to high dose ICS (=250 mcg of fluticasone propionate twice daily or equipotent ICS daily dosage to a maximum of 2000 mcg/day of fluticasone propionate or equivalent) in combination with a second controller (eg, long-acting beta agonist, leukotriene receptor antagonist) for at least 3 months with a stable dose =1 month prior to Visit 1.

i) Note for Japan: for participants aged 18 years and older, ICS must be on =200 mcg of fluticasone propionate twice daily or equivalent; for participants aged 12 to 17 years, ICS must be =100 mcg of fluticasone propionate twice daily or equivalent).

ii) Participants requiring a third controller for their asthma will be considered eligible for this study, and it should also be used for at least 3 months with a stable dose =1 month prior to Visit 1.
Minimum age
12 Years
Maximum age
No limit
Sex
Both males and females
Can healthy volunteers participate?
No
Key exclusion criteria
Exclusion criteria:

* Participants <12 years of age or the minimum legal age for adolescents in the country of the investigative site, whichever is higher (For those countries where local regulations permit enrollment of adults only, participant recruitment will be restricted to those who are =18 years of age).
* Weight is less than 30 kilograms.
* Chronic obstructive pulmonary disease or other lung diseases (eg, idiopathic pulmonary fibrosis, Churg-Strauss Syndrome, etc) which may impair lung function.
* A participant who experiences a severe asthma exacerbation (defined as a deterioration of asthma that results in emergency treatment, hospitalization due to asthma, or treatment with systemic steroids at any time from 1 month prior to the Screening Visit up to and including the Baseline Visit).
* Evidence of lung disease(s) other than asthma, either clinical evidence or imaging (Chest X-ray, CT, MRI) within 12 months of Visit 1 or at the screening visit, as per local standard of care.
* Note for Japan: According to the request from the health authority, chest X-ray should be performed at screening visit if there is no chest imaging (Chest X-ray, computed tomography [CT], magnetic resonance imaging [MRI]) available within 3 months prior to screening to exclude participants with suspected active or untreated latent tuberculosis.
* Current smoker or cessation of smoking within 6 months prior to Visit 1.
* Previous smoker with a smoking history >10 pack-years.
* Comorbid disease that might interfere with the evaluation of Investigational Medicinal Product.

The above information is not intended to contain all considerations relevant to a participant's potential participation in a clinical trial.

Study design
Purpose of the study
Treatment
Allocation to intervention
Randomised controlled trial
Procedure for enrolling a subject and allocating the treatment (allocation concealment procedures)
Methods used to generate the sequence in which subjects will be randomised (sequence generation)
Masking / blinding
Blinded (masking used)
Who is / are masked / blinded?
The people receiving the treatment/s
The people administering the treatment/s

The people analysing the results/data
Intervention assignment
Parallel
Other design features
Phase
Phase 3
Type of endpoint/s
Statistical methods / analysis

Recruitment
Recruitment status
Completed
Data analysis
Reason for early stopping/withdrawal
Other reasons
Date of first participant enrolment
Anticipated
Actual
Date of last participant enrolment
Anticipated
Actual
Date of last data collection
Anticipated
Actual
Sample size
Target
Accrual to date
Final
Recruitment in Australia
Recruitment state(s)
Recruitment hospital [1] 0 0
Investigational Site Number 036005 - Campbelltown
Recruitment hospital [2] 0 0
Investigational Site Number 036001 - Clayton
Recruitment hospital [3] 0 0
Investigational Site Number 036002 - Frankston
Recruitment hospital [4] 0 0
Investigational Site Number 036006 - Glen Osmond
Recruitment hospital [5] 0 0
Investigational Site Number 036003 - Murdoch
Recruitment hospital [6] 0 0
Investigational Site Number 036004 - Parkville
Recruitment postcode(s) [1] 0 0
2560 - Campbelltown
Recruitment postcode(s) [2] 0 0
3168 - Clayton
Recruitment postcode(s) [3] 0 0
3199 - Frankston
Recruitment postcode(s) [4] 0 0
5064 - Glen Osmond
Recruitment postcode(s) [5] 0 0
6150 - Murdoch
Recruitment postcode(s) [6] 0 0
3050 - Parkville
Recruitment outside Australia
Country [1] 0 0
United States of America
State/province [1] 0 0
Alabama
Country [2] 0 0
United States of America
State/province [2] 0 0
Arizona
Country [3] 0 0
United States of America
State/province [3] 0 0
Arkansas
Country [4] 0 0
United States of America
State/province [4] 0 0
California
Country [5] 0 0
United States of America
State/province [5] 0 0
Colorado
Country [6] 0 0
United States of America
State/province [6] 0 0
Connecticut
Country [7] 0 0
United States of America
State/province [7] 0 0
Florida
Country [8] 0 0
United States of America
State/province [8] 0 0
Georgia
Country [9] 0 0
United States of America
State/province [9] 0 0
Idaho
Country [10] 0 0
United States of America
State/province [10] 0 0
Illinois
Country [11] 0 0
United States of America
State/province [11] 0 0
Iowa
Country [12] 0 0
United States of America
State/province [12] 0 0
Kentucky
Country [13] 0 0
United States of America
State/province [13] 0 0
Maine
Country [14] 0 0
United States of America
State/province [14] 0 0
Maryland
Country [15] 0 0
United States of America
State/province [15] 0 0
Massachusetts
Country [16] 0 0
United States of America
State/province [16] 0 0
Minnesota
Country [17] 0 0
United States of America
State/province [17] 0 0
Missouri
Country [18] 0 0
United States of America
State/province [18] 0 0
Montana
Country [19] 0 0
United States of America
State/province [19] 0 0
Nebraska
Country [20] 0 0
United States of America
State/province [20] 0 0
New Jersey
Country [21] 0 0
United States of America
State/province [21] 0 0
New York
Country [22] 0 0
United States of America
State/province [22] 0 0
North Carolina
Country [23] 0 0
United States of America
State/province [23] 0 0
Ohio
Country [24] 0 0
United States of America
State/province [24] 0 0
Oklahoma
Country [25] 0 0
United States of America
State/province [25] 0 0
Oregon
Country [26] 0 0
United States of America
State/province [26] 0 0
Pennsylvania
Country [27] 0 0
United States of America
State/province [27] 0 0
Rhode Island
Country [28] 0 0
United States of America
State/province [28] 0 0
South Carolina
Country [29] 0 0
United States of America
State/province [29] 0 0
Texas
Country [30] 0 0
United States of America
State/province [30] 0 0
Utah
Country [31] 0 0
United States of America
State/province [31] 0 0
Vermont
Country [32] 0 0
United States of America
State/province [32] 0 0
Virginia
Country [33] 0 0
United States of America
State/province [33] 0 0
Washington
Country [34] 0 0
Argentina
State/province [34] 0 0
Bahia Blanca
Country [35] 0 0
Argentina
State/province [35] 0 0
Buenos Aires
Country [36] 0 0
Argentina
State/province [36] 0 0
Caba
Country [37] 0 0
Argentina
State/province [37] 0 0
Capital Federal
Country [38] 0 0
Argentina
State/province [38] 0 0
La Plata
Country [39] 0 0
Argentina
State/province [39] 0 0
Rosario
Country [40] 0 0
Argentina
State/province [40] 0 0
San Miguel De Tucuman
Country [41] 0 0
Argentina
State/province [41] 0 0
San Miguel De Tucumán
Country [42] 0 0
Brazil
State/province [42] 0 0
Florianópolis
Country [43] 0 0
Brazil
State/province [43] 0 0
Porto Alegre
Country [44] 0 0
Brazil
State/province [44] 0 0
Salvador
Country [45] 0 0
Brazil
State/province [45] 0 0
Sao Paulo
Country [46] 0 0
Brazil
State/province [46] 0 0
Sorocaba
Country [47] 0 0
Brazil
State/province [47] 0 0
São Bernardo Do Campo
Country [48] 0 0
Canada
State/province [48] 0 0
Burlington
Country [49] 0 0
Canada
State/province [49] 0 0
Calgary
Country [50] 0 0
Canada
State/province [50] 0 0
Mississauga
Country [51] 0 0
Canada
State/province [51] 0 0
Montreal
Country [52] 0 0
Canada
State/province [52] 0 0
Ottawa
Country [53] 0 0
Canada
State/province [53] 0 0
Quebec
Country [54] 0 0
Canada
State/province [54] 0 0
Sherbrooke
Country [55] 0 0
Canada
State/province [55] 0 0
Toronto
Country [56] 0 0
Canada
State/province [56] 0 0
Trois-Rivieres
Country [57] 0 0
Canada
State/province [57] 0 0
Vancouver
Country [58] 0 0
Chile
State/province [58] 0 0
Concepción
Country [59] 0 0
Chile
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Quillota
Country [60] 0 0
Chile
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Santiago
Country [61] 0 0
Chile
State/province [61] 0 0
Talcahuano
Country [62] 0 0
Chile
State/province [62] 0 0
Talca
Country [63] 0 0
Chile
State/province [63] 0 0
Temuco
Country [64] 0 0
Chile
State/province [64] 0 0
Valdivia
Country [65] 0 0
Chile
State/province [65] 0 0
Viña Del Mar
Country [66] 0 0
Colombia
State/province [66] 0 0
Bogota
Country [67] 0 0
Colombia
State/province [67] 0 0
Bogotá
Country [68] 0 0
France
State/province [68] 0 0
Brest
Country [69] 0 0
France
State/province [69] 0 0
Lille Cedex
Country [70] 0 0
France
State/province [70] 0 0
Lille
Country [71] 0 0
France
State/province [71] 0 0
Lyon
Country [72] 0 0
France
State/province [72] 0 0
Marseille
Country [73] 0 0
France
State/province [73] 0 0
Montpellier
Country [74] 0 0
France
State/province [74] 0 0
Nantes Cedex 1
Country [75] 0 0
France
State/province [75] 0 0
Paris
Country [76] 0 0
France
State/province [76] 0 0
Strasbourg
Country [77] 0 0
France
State/province [77] 0 0
Vandoeuvre-Les-Nancy
Country [78] 0 0
Germany
State/province [78] 0 0
Berlin
Country [79] 0 0
Germany
State/province [79] 0 0
Bochum
Country [80] 0 0
Germany
State/province [80] 0 0
Frankfurt Am Main
Country [81] 0 0
Germany
State/province [81] 0 0
Hannover
Country [82] 0 0
Germany
State/province [82] 0 0
Koblenz
Country [83] 0 0
Germany
State/province [83] 0 0
Lübeck
Country [84] 0 0
Germany
State/province [84] 0 0
Mainz
Country [85] 0 0
Germany
State/province [85] 0 0
Rüdersdorf
Country [86] 0 0
Hungary
State/province [86] 0 0
Gödöllö
Country [87] 0 0
Italy
State/province [87] 0 0
Ancona
Country [88] 0 0
Italy
State/province [88] 0 0
Catania
Country [89] 0 0
Italy
State/province [89] 0 0
Ferrara
Country [90] 0 0
Italy
State/province [90] 0 0
Firenze
Country [91] 0 0
Italy
State/province [91] 0 0
Foggia
Country [92] 0 0
Italy
State/province [92] 0 0
Modena
Country [93] 0 0
Italy
State/province [93] 0 0
Palermo
Country [94] 0 0
Italy
State/province [94] 0 0
Pisa
Country [95] 0 0
Italy
State/province [95] 0 0
Reggio Emilia
Country [96] 0 0
Italy
State/province [96] 0 0
Torino
Country [97] 0 0
Japan
State/province [97] 0 0
Akashi-Shi
Country [98] 0 0
Japan
State/province [98] 0 0
Asahikawa-Shi
Country [99] 0 0
Japan
State/province [99] 0 0
Chiyoda-Ku
Country [100] 0 0
Japan
State/province [100] 0 0
Chuo-Ku
Country [101] 0 0
Japan
State/province [101] 0 0
Fukui-Shi
Country [102] 0 0
Japan
State/province [102] 0 0
Fukuoka-Shi
Country [103] 0 0
Japan
State/province [103] 0 0
Fukuyama-Shi
Country [104] 0 0
Japan
State/province [104] 0 0
Habikino-Shi
Country [105] 0 0
Japan
State/province [105] 0 0
Higashiosaka-Shi
Country [106] 0 0
Japan
State/province [106] 0 0
Himeji-Shi
Country [107] 0 0
Japan
State/province [107] 0 0
Hiroshima-Shi
Country [108] 0 0
Japan
State/province [108] 0 0
Iizuka-Shi
Country [109] 0 0
Japan
State/province [109] 0 0
Isesaki-Shi
Country [110] 0 0
Japan
State/province [110] 0 0
Itabashi-Ku
Country [111] 0 0
Japan
State/province [111] 0 0
Kagoshima-Shi
Country [112] 0 0
Japan
State/province [112] 0 0
Kanazawa-Shi
Country [113] 0 0
Japan
State/province [113] 0 0
Kasuga-Shi
Country [114] 0 0
Japan
State/province [114] 0 0
Kawaguchi-Shi
Country [115] 0 0
Japan
State/province [115] 0 0
Kishiwada-Shi
Country [116] 0 0
Japan
State/province [116] 0 0
Kobe-Shi
Country [117] 0 0
Japan
State/province [117] 0 0
Kodaira-Shi
Country [118] 0 0
Japan
State/province [118] 0 0
Kokubunji-Shi
Country [119] 0 0
Japan
State/province [119] 0 0
Koshi-Shi
Country [120] 0 0
Japan
State/province [120] 0 0
Koshigaya-Shi
Country [121] 0 0
Japan
State/province [121] 0 0
Kurashiki-Shi
Country [122] 0 0
Japan
State/province [122] 0 0
Kyoto-Shi
Country [123] 0 0
Japan
State/province [123] 0 0
Machida-Shi
Country [124] 0 0
Japan
State/province [124] 0 0
Matsuyama-Shi
Country [125] 0 0
Japan
State/province [125] 0 0
Mibu
Country [126] 0 0
Japan
State/province [126] 0 0
Minato-Ku
Country [127] 0 0
Japan
State/province [127] 0 0
Mizunami-Shi
Country [128] 0 0
Japan
State/province [128] 0 0
Muroran-Shi
Country [129] 0 0
Japan
State/province [129] 0 0
Nagakute-Shi
Country [130] 0 0
Japan
State/province [130] 0 0
Nagoya-Shi
Country [131] 0 0
Japan
State/province [131] 0 0
Naka-Gun
Country [132] 0 0
Japan
State/province [132] 0 0
Nakano-Ku
Country [133] 0 0
Japan
State/province [133] 0 0
Naruto-Shi
Country [134] 0 0
Japan
State/province [134] 0 0
Obihiro-Shi
Country [135] 0 0
Japan
State/province [135] 0 0
Ome-Shi
Country [136] 0 0
Japan
State/province [136] 0 0
Osaka Sayama-Shi
Country [137] 0 0
Japan
State/province [137] 0 0
Osaki-Shi
Country [138] 0 0
Japan
State/province [138] 0 0
Ota-Ku
Country [139] 0 0
Japan
State/province [139] 0 0
Ota-Shi
Country [140] 0 0
Japan
State/province [140] 0 0
Oura-Gun
Country [141] 0 0
Japan
State/province [141] 0 0
Sagamihara-Shi
Country [142] 0 0
Japan
State/province [142] 0 0
Sapporo-Shi
Country [143] 0 0
Japan
State/province [143] 0 0
Seto-Shi
Country [144] 0 0
Japan
State/province [144] 0 0
Shibuya-Ku
Country [145] 0 0
Japan
State/province [145] 0 0
Shinagawa-Ku
Country [146] 0 0
Japan
State/province [146] 0 0
Shinjuku-Ku
Country [147] 0 0
Japan
State/province [147] 0 0
Sumida-Ku
Country [148] 0 0
Japan
State/province [148] 0 0
Tachikawa-Shi
Country [149] 0 0
Japan
State/province [149] 0 0
Tokyo
Country [150] 0 0
Japan
State/province [150] 0 0
Tomakomai-Shi
Country [151] 0 0
Japan
State/province [151] 0 0
Tsu-Shi
Country [152] 0 0
Japan
State/province [152] 0 0
Uozu-Shi
Country [153] 0 0
Japan
State/province [153] 0 0
Urasoe-Shi
Country [154] 0 0
Japan
State/province [154] 0 0
Uruma-Shi
Country [155] 0 0
Japan
State/province [155] 0 0
Wakayama-Shi
Country [156] 0 0
Japan
State/province [156] 0 0
Yokohama-Shi
Country [157] 0 0
Japan
State/province [157] 0 0
Yonago-Shi
Country [158] 0 0
Korea, Republic of
State/province [158] 0 0
Bucheon-Si
Country [159] 0 0
Korea, Republic of
State/province [159] 0 0
Busan
Country [160] 0 0
Korea, Republic of
State/province [160] 0 0
Cheongju-Si
Country [161] 0 0
Korea, Republic of
State/province [161] 0 0
Incheon
Country [162] 0 0
Korea, Republic of
State/province [162] 0 0
Seoul
Country [163] 0 0
Korea, Republic of
State/province [163] 0 0
Suwon
Country [164] 0 0
Korea, Republic of
State/province [164] 0 0
Uijeongbu-Si
Country [165] 0 0
Mexico
State/province [165] 0 0
Chihuahua
Country [166] 0 0
Mexico
State/province [166] 0 0
Cuautitlan Izcalli
Country [167] 0 0
Mexico
State/province [167] 0 0
Durango
Country [168] 0 0
Mexico
State/province [168] 0 0
Guadalajara
Country [169] 0 0
Mexico
State/province [169] 0 0
Mexico City
Country [170] 0 0
Mexico
State/province [170] 0 0
Monterrey
Country [171] 0 0
Mexico
State/province [171] 0 0
México
Country [172] 0 0
Mexico
State/province [172] 0 0
San Juan Del Rio
Country [173] 0 0
Mexico
State/province [173] 0 0
Veracruz
Country [174] 0 0
Mexico
State/province [174] 0 0
Zapopan
Country [175] 0 0
Poland
State/province [175] 0 0
Bialystok
Country [176] 0 0
Poland
State/province [176] 0 0
Gdansk
Country [177] 0 0
Poland
State/province [177] 0 0
Krakow
Country [178] 0 0
Poland
State/province [178] 0 0
Lodz
Country [179] 0 0
Poland
State/province [179] 0 0
Poznan
Country [180] 0 0
Poland
State/province [180] 0 0
Sopot
Country [181] 0 0
Poland
State/province [181] 0 0
Strzelce Opolskie
Country [182] 0 0
Russian Federation
State/province [182] 0 0
Ekaterinburg
Country [183] 0 0
Russian Federation
State/province [183] 0 0
Moscow
Country [184] 0 0
Russian Federation
State/province [184] 0 0
Ryazan
Country [185] 0 0
Russian Federation
State/province [185] 0 0
Saint-Petersburg
Country [186] 0 0
Russian Federation
State/province [186] 0 0
St-Petersburg
Country [187] 0 0
Russian Federation
State/province [187] 0 0
Yaroslavl
Country [188] 0 0
South Africa
State/province [188] 0 0
Brandfort
Country [189] 0 0
South Africa
State/province [189] 0 0
Cape Town
Country [190] 0 0
South Africa
State/province [190] 0 0
Durban
Country [191] 0 0
South Africa
State/province [191] 0 0
Pretoria
Country [192] 0 0
Spain
State/province [192] 0 0
Barcelona
Country [193] 0 0
Spain
State/province [193] 0 0
Palma De Mallorca
Country [194] 0 0
Spain
State/province [194] 0 0
Pozuelo De Alarcón
Country [195] 0 0
Spain
State/province [195] 0 0
Sant Boi De Llobregat
Country [196] 0 0
Spain
State/province [196] 0 0
Santiago De Compostela
Country [197] 0 0
Spain
State/province [197] 0 0
Sevilla
Country [198] 0 0
Spain
State/province [198] 0 0
Valencia
Country [199] 0 0
Taiwan
State/province [199] 0 0
Kaohsiung
Country [200] 0 0
Taiwan
State/province [200] 0 0
New Taipei City
Country [201] 0 0
Taiwan
State/province [201] 0 0
Taichung
Country [202] 0 0
Taiwan
State/province [202] 0 0
Taipei
Country [203] 0 0
Taiwan
State/province [203] 0 0
Taoyuan
Country [204] 0 0
Turkey
State/province [204] 0 0
Ankara
Country [205] 0 0
Turkey
State/province [205] 0 0
Bursa
Country [206] 0 0
Turkey
State/province [206] 0 0
Istanbul
Country [207] 0 0
Turkey
State/province [207] 0 0
Izmir
Country [208] 0 0
Turkey
State/province [208] 0 0
Kirikkale
Country [209] 0 0
Turkey
State/province [209] 0 0
Kocaeli
Country [210] 0 0
Turkey
State/province [210] 0 0
Mersin
Country [211] 0 0
Turkey
State/province [211] 0 0
Rize
Country [212] 0 0
Ukraine
State/province [212] 0 0
Chernivtsi
Country [213] 0 0
Ukraine
State/province [213] 0 0
Dnipro
Country [214] 0 0
Ukraine
State/province [214] 0 0
Ivano-Frankivsk
Country [215] 0 0
Ukraine
State/province [215] 0 0
Kharkiv
Country [216] 0 0
Ukraine
State/province [216] 0 0
Kyiv
Country [217] 0 0
Ukraine
State/province [217] 0 0
Odessa
Country [218] 0 0
Ukraine
State/province [218] 0 0
Poltava
Country [219] 0 0
Ukraine
State/province [219] 0 0
Ternopil
Country [220] 0 0
Ukraine
State/province [220] 0 0
Vinnytsya
Country [221] 0 0
Ukraine
State/province [221] 0 0
Zaporizhia
Country [222] 0 0
United Kingdom
State/province [222] 0 0
Bradford
Country [223] 0 0
United Kingdom
State/province [223] 0 0
London
Country [224] 0 0
United Kingdom
State/province [224] 0 0
Newcastle Upon Tyne
Country [225] 0 0
United Kingdom
State/province [225] 0 0
Portsmouth
Country [226] 0 0
United Kingdom
State/province [226] 0 0
South Shields
Country [227] 0 0
United Kingdom
State/province [227] 0 0
Sutton-In-Ashfield

Funding & Sponsors
Primary sponsor type
Commercial sector/industry
Name
Sanofi
Address
Country
Other collaborator category [1] 0 0
Commercial sector/industry
Name [1] 0 0
Regeneron Pharmaceuticals
Address [1] 0 0
Country [1] 0 0

Ethics approval
Ethics application status

Summary
Brief summary
Trial website
Trial related presentations / publications
Public notes

Contacts
Principal investigator
Name 0 0
Clinical Sciences & Operations
Address 0 0
Sanofi
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for public queries
Name 0 0
Address 0 0
Country 0 0
Phone 0 0
Fax 0 0
Email 0 0
Contact person for scientific queries

No information has been provided regarding IPD availability


What supporting documents are/will be available?

Results publications and other study-related documents

TypeCitations or Other Details
Journal Castro M, Corren J, Pavord ID, Maspero J, Wenzel S... [More Details]