Leukemia, Myeloid, Acute Clinical Trial
— QUAZAR AML-001Official title:
A Phase 3, Randomized, Double-Blind, Placebo-Controlled Study to Compare Efficacy and Safety of Oral Azacitidine Plus Best Supportive Care Versus Best Supportive Care as Maintenance Therapy in Subjects With Acute Myeloid Leukemia in Complete Remission
Verified date | January 2024 |
Source | Celgene |
Contact | n/a |
Is FDA regulated | No |
Health authority | |
Study type | Interventional |
This study enrolled 472 participants, aged 55 or older, with a diagnosis of de novo acute myeloid leukemia (AML) or AML secondary to prior myelodysplastic disease or chronic myelomonocytic leukemia (CMML), and who have achieved first complete remission (CR)/ complete remission with incomplete blood count recovery (CRi) following induction with or without consolidation chemotherapy. The study is amended to include an extension phase (EP). The EP allows participants who are currently receiving oral azacitidine and who are demonstrating clinical benefit as assessed by the investigator, to continue receiving oral azacitidine after unblinding by sponsor until the participant meets the criteria for study discontinuation or until oral azacitidine becomes commercially available and reimbursed. In addition, all participants in the placebo arm and participants who had been discontinued from the treatment phase (irrespective of randomization arm) and continuing in the follow-up phase will be followed for survival in the EP.
Status | Active, not recruiting |
Enrollment | 472 |
Est. completion date | December 31, 2024 |
Est. primary completion date | July 15, 2019 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 55 Years and older |
Eligibility | Key Inclusion Criteria: 1. Male or female participants = 55 years of age 2. Newly diagnosed, histologically confirmed de novo acute myeloid leukemia (AML) or AML secondary to prior myelodysplastic disease or CMML (Chronic myelomonocytic leukemia) 3. First complete remission (CR)/ complete remission with incomplete blood count recovery (CRi) with induction therapy with intensive chemotherapy with or without consolidation therapy within 4 months (+/- 7 days of achieving CR or CRi) 4. Eastern Cooperative Oncology Group (ECOG) performance status - 0, 1, 2, 3 Key Inclusion Criteria in the Extended Phase of the study: At the Investigator's discretion and with approval of the sponsor, participants meeting all of the following eligibility criteria are eligible to enter the extension phase: 1. All participants randomized into the oral azacitidine or placebo arm and are continuing in either the treatment phase or follow-up phase of the CC-486-AML-001 study; - Participants randomized to oral azacitidine treatment arm and continuing in the treatment phase demonstrating clinical benefit as assessed by the investigator are eligible to receive oral azacitidine in the extension phase (EP); - Participants randomized into placebo arm of the study will not receive oral azacitidine in the EP, but will be followed for survival in the EP; - Participants currently in the follow-up phase will continue to be followed for survival in the EP; 2. Participants who have signed the informed consent for the EP of the study; 3. Participants who do not meet any of the criteria for study discontinuation Key Exclusion Criteria: 1. AML with inversion (inv)(16), translocation = t(8;21), t(16;16), t(15;17), or t(9;22) or molecular evidence of such translocations 2. Prior bone marrow or stem cell transplantation 3. Have achieved CR/CRi following therapy with hypomethylating agents 4. Diagnosis of malignant disease within the previous 12 months 5. Proven central nervous system (CNS) leukemia |
Country | Name | City | State |
---|---|---|---|
Australia | Local Institution - 508 | Adelaide | South Australia |
Australia | Local Institution - 511 | Bedford Park | South Australia |
Australia | Local Institution - 503 | Heidelberg | |
Australia | Local Institution - 502 | Hobart | |
Australia | Local Institution - 507 | Liverpool | |
Australia | Local Institution - 500 | Melbourne | |
Australia | Local Institution - 505 | Perth | |
Australia | Local Institution - 512 | Perth | |
Australia | Local Institution - 509 | South Brisbane | Queensland |
Australia | Local Institution - 506 | St Leonards | |
Australia | Local Institution - 510 | Wollongong | New South Wales |
Australia | Local Institution - 504 | Woodville South | South Australia |
Australia | Local Institution - 501 | Woolloongabba | |
Austria | Local Institution - 271 | Graz | |
Austria | Local Institution - 270 | Salzburg | |
Austria | Local Institution - 273 | Vienna | |
Austria | Local Institution - 274 | Vienna | |
Austria | Local Institution - 272 | Wien | |
Belgium | Local Institution - 300 | Brugge | |
Belgium | Local Institution - 301 | Charleroi | |
Belgium | Local Institution - 302 | Mons | |
Brazil | Local Institution - 233 | Curitiba | Paraná |
Brazil | Local Institution - 231 | Porto Alegre | Rio Grande Do Sul |
Brazil | Local Institution - 232 | Rio de Janeiro | |
Brazil | Local Institution - 230 | Sao Paulo | |
Brazil | Local Institution - 234 | São Paulo | |
Canada | Local Institution - 605 | Edmonton | Alberta |
Canada | Local Institution - 604 | Halifax | Nova Scotia |
Canada | Local Institution - 602 | Montreal | Quebec |
Canada | Local Institution - 608 | Montreal | Quebec |
Canada | Local Institution - 601 | Saint John | New Brunswick |
Canada | Local Institution - 603 | St John's | Newfoundland and Labrador |
Canada | Local Institution - 607 | Toronto | Ontario |
Canada | Local Institution - 600 | Winnipeg | Manitoba |
Czechia | Local Institution - 320 | Brno | Jihomoravský Kraj |
Czechia | Local Institution - 321 | Praha | |
Czechia | Local Institution - 322 | Praha | |
Finland | Local Institution - 361 | Helsinki | |
Finland | Local Institution - 362 | Tampere | |
Finland | Local Institution - 360 | Turku | |
France | Local Institution - 456 | Amiens | |
France | Local Institution - 465 | Argenteuil | |
France | Local Institution - 457 | Bobigny Cedex | |
France | Local Institution - 462 | Boulognes Sur Mer | |
France | Local Institution - 460 | Clamart Cedex | |
France | Local Institution - 452 | Creteil | |
France | Local Institution - 458 | Le Chesnay Cedex | |
France | Local Institution - 453 | Lille | |
France | Local Institution - 461 | Limoges Cedex | |
France | Local Institution - 450 | Lyon cedex | |
France | Local Institution - 454 | Paris | |
France | Local Institution - 463 | Paris | |
France | Local Institution - 800 | Paris Cedex 10 | |
France | Local Institution - 464 | Pontoise | |
France | Local Institution - 455 | Rouen | |
France | Local Institution - 459 | Saint-Cloud | |
France | Local Institution - 451 | Villejuif CEDEX | |
Germany | Local Institution - 413 | Berlin | |
Germany | Local Institution - 410 | Bonn | |
Germany | Local Institution - 400 | Dresden | Saxony |
Germany | Local Institution - 406 | Düsseldorf | |
Germany | Local Institution - 415 | Erlangen | |
Germany | Local Institution - 404 | Frankfurt am Main | |
Germany | Local Institution - 412 | Goch | |
Germany | Local Institution - 405 | Hannover | |
Germany | Local Institution - 408 | Heilbronn | |
Germany | Local Institution - 414 | Jena | |
Germany | Local Institution - 403 | Keil | |
Germany | Local Institution - 402 | Mannheim | |
Germany | Local Institution - 409 | Muenchen | |
Germany | Local Institution - 411 | München | |
Germany | Local Institution - 407 | Oldenburg | |
Germany | Local Institution - 416 | Schweiler | |
Germany | Local Institution - 401 | Ulm | |
Ireland | Local Institution - 950 | Dublin | |
Ireland | Local Institution - 951 | Galway | |
Israel | Local Institution - 381 | Beer Sheva | |
Israel | Local Institution - 380 | Haifa | |
Israel | Local Institution - 383 | Jerusalem | |
Israel | Local Institution - 382 | Petach Tikva | |
Italy | Local Institution - 701 | Alessandria | |
Italy | Local Institution - 721 | Bari | |
Italy | Local Institution - 720 | Bologna | |
Italy | Local Institution - 710 | Cagliari | |
Italy | Local Institution - 702 | Cremona | |
Italy | Local Institution - 708 | Firenze | |
Italy | Local Institution - 712 | Genova | |
Italy | Local Institution - 716 | Lecce | |
Italy | Local Institution - 706 | Milan | |
Italy | Local Institution - 726 | Milano | |
Italy | Local Institution - 704 | Monza | |
Italy | Local Institution - 717 | Naples | |
Italy | Local Institution - 725 | Naples | |
Italy | Local Institution - 705 | Orbassano (TO) | |
Italy | Local Institution - 703 | Palermo | |
Italy | Local Institution - 719 | Palermo | |
Italy | Local Institution - 724 | Pesaro | |
Italy | Local Institution - 700 | Reggio Calabria | |
Italy | Local Institution - 709 | Roma | |
Italy | Local Institution - 714 | Roma | |
Italy | Local Institution - 723 | Roma | |
Italy | Local Institution - 722 | Rome | |
Italy | Local Institution - 715 | Torino | |
Italy | Local Institution - 718 | Torino | |
Italy | Local Institution - 711 | Udine | |
Italy | Local Institution - 707 | Varese | |
Korea, Republic of | Local Institution - 535 | Busan | |
Korea, Republic of | Local Institution - 533 | Daegu | |
Korea, Republic of | Local Institution - 530 | Seoul | |
Korea, Republic of | Local Institution - 531 | Seoul | |
Korea, Republic of | Local Institution - 532 | Seoul | |
Korea, Republic of | Local Institution - 536 | Seoul | |
Lithuania | Local Institution - 750 | Klaipeda | |
Mexico | Local Institution - 252 | Huixquilucan de Degollado | |
Mexico | Local Institution - 251 | Mexico | |
Mexico | Local Institution - 250 | Monterrey | |
Poland | Local Institution - 824 | Bydgoszcz | |
Poland | Local Institution - 820 | Gdansk | |
Poland | Local Institution - 822 | Lodz | |
Poland | Local Institution - 821 | Warsaw | |
Poland | Local Institution - 823 | Wroclaw | |
Portugal | Local Institution - 841 | Coimbra | |
Portugal | Local Institution - 840 | Lisboa | |
Portugal | Local Institution - 843 | Lisboa | |
Portugal | Local Institution - 842 | Porto | |
Portugal | Local Institution - 844 | Porto | |
Russian Federation | Local Institution - 971 | Moscow | |
Russian Federation | Local Institution - 970 | Nizhniy Novgorod | |
Russian Federation | Local Institution - 972 | Saint Petersburg | |
Russian Federation | Local Institution - 973 | St Petersburg | |
Spain | Local Institution - 869 | Badalona (Barcelona) | |
Spain | Local Institution - 870 | Barcelona | |
Spain | Local Institution - 871 | Barcelona | |
Spain | Local Institution - 873 | Caceres | |
Spain | Local Institution - 863 | Cordoba | |
Spain | Local Institution - 867 | La Coruna | |
Spain | Local Institution - 865 | Madrid | |
Spain | Local Institution - 866 | Madrid | |
Spain | Local Institution - 868 | Madrid | |
Spain | Local Institution - 864 | Oviedo | |
Spain | Local Institution - 872 | Palma de Mallorca | Baleares |
Spain | Local Institution - 861 | Salamanca | |
Spain | Local Institution - 862 | Sevilla | |
Spain | Local Institution - 860 | Valencia | |
Taiwan | Local Institution - 599 | Beitou District, Taipei City | |
Taiwan | Local Institution - 595 | Niaosong District Kaohsiung City | |
Taiwan | Local Institution - 596 | Taichung, Northern Dist. | |
Taiwan | Local Institution - 597 | Tainan, Taiana | |
Taiwan | Local Institution - 598 | Taipei, Zhongzheng Dist. | |
Turkey | Local Institution - 650 | Ankara | |
Turkey | Local Institution - 653 | Ankara | |
Turkey | Local Institution - 651 | Istanbul | |
Turkey | Local Institution - 652 | Samsun | |
United Kingdom | Local Institution - 907 | Boston | |
United Kingdom | Local Institution - 903 | Brighton East Sussex | |
United Kingdom | Local Institution - 902 | Canterbury Kent | |
United Kingdom | Local Institution - 901 | London | |
United Kingdom | Local Institution - 905 | London | |
United Kingdom | Local Institution - 908 | London | |
United Kingdom | Local Institution - 909 | Maidstone | |
United Kingdom | Local Institution - 900 | Manchester | |
United Kingdom | Local Institution - 904 | Nottingham | Nottinghamshire |
United Kingdom | Local Institution - 906 | Romford, Essex | |
United States | Beth Israel Deaconess Medical Center | Boston | Massachusetts |
United States | Massachusetts General Hospital | Boston | Massachusetts |
United States | Providence St Joseph Medical Center Cancer Center | Burbank | California |
United States | Northwestern University Medical Center | Chicago | Illinois |
United States | Local Institution - 016 | Cleveland | Ohio |
United States | University Of Texas Southwestern Medical Center | Dallas | Texas |
United States | Rocky Mountain Cancer Center | Denver | Colorado |
United States | City Of Hope | Duarte | California |
United States | Duke University Medical Center | Durham | North Carolina |
United States | Brooke-Army Medical Center | Fort Sam Houston | Texas |
United States | University of California San Francisco Fresno Campus | Fresno | California |
United States | University Of Florida | Gainesville | Florida |
United States | Greenville Hospital System | Greenville | South Carolina |
United States | John Theurer Cancer Center at Hackensack University Medical Center | Hackensack | New Jersey |
United States | MD Anderson Cancer Center | Houston | Texas |
United States | Franciscan St. Francis Health | Indianapolis | Indiana |
United States | Indiana University Cancer Center | Indianapolis | Indiana |
United States | Kansas City VA Medical Center University of Kansas Medical Center | Kansas City | Missouri |
United States | Lancaster General Hospital | Lancaster | Pennsylvania |
United States | Ucla | Los Angeles | California |
United States | University of Southern California Norris Cancer Center | Los Angeles | California |
United States | Norton Cancer Institute Louisville Oncology | Louisville | Kentucky |
United States | University Of Louisville | Louisville | Kentucky |
United States | Loyola University Chicago | Maywood | Illinois |
United States | Mount Sinai Comprehensive Cancer Center | Miami Beach | Florida |
United States | Froedtert Hospital BMT Medical College of Wisconsin | Milwaukee | Wisconsin |
United States | Winthrop University Hospital | Mineola | New York |
United States | Sarah Cannon Research Inst | Nashville | Tennessee |
United States | Vanderbilt University Medical Center | Nashville | Tennessee |
United States | Cancer Institute of New Jersey | New Brunswick | New Jersey |
United States | Ochsner Medical Center - Jefferson Highway | New Orleans | Louisiana |
United States | Tulane University Medical Center | New Orleans | Louisiana |
United States | Columbia University Irving Medical Center | New York | New York |
United States | Local Institution - 002 | New York | New York |
United States | Mt. Sinai Medical Center | New York | New York |
United States | Cancer Care and Hematology Specialists of Chicagoland, P.C. - Niles, IL | Niles | Illinois |
United States | University of Oklahoma Peggy and Charles Stephenson Cancer Center | Oklahoma City | Oklahoma |
United States | University Of Nebraska Medical Center | Omaha | Nebraska |
United States | Local Institution - 050 | Orange | California |
United States | University of Florida Health Cancer Center at Orlando Health | Orlando | Florida |
United States | Arizona Oncology Associates, P.C. | Phoenix | Arizona |
United States | UPMC Cancer Pavillion | Pittsburgh | Pennsylvania |
United States | Kaiser Permanente Northwest Oncology Hematology | Portland | Oregon |
United States | VA Commonwealth University - Massey Cancer Center | Richmond | Virginia |
United States | Local Institution - 037 | Rochester | Minnesota |
United States | University of Rochester Medical Center | Rochester | New York |
United States | Washington University School Of Medicine | Saint Louis | Missouri |
United States | Cancer Care Centers of South Texas - Loop | San Antonio | Texas |
United States | Methodist Hospital | San Antonio | Texas |
United States | Sharp Memorial Hospital | San Diego | California |
United States | Swedish Cancer Inst | Seattle | Washington |
United States | The Hospital of Central Connecticut | Southington | Connecticut |
United States | Stanford Cancer Center | Stanford | California |
United States | Local Institution - 014 | Valhalla | New York |
United States | George Washington University Cancer Center | Washington | District of Columbia |
United States | Kansas University Medical Center | Westwood | Kansas |
United States | Innovative Clinical Research Institute | Whittier | California |
United States | Local Institution - 025 | Winston-Salem | North Carolina |
United States | University of Massachusetts | Worcester | Massachusetts |
United States | Yakima Valley Memorial Hospital/ North Star Lodge | Yakima | Washington |
Lead Sponsor | Collaborator |
---|---|
Celgene |
United States, Australia, Austria, Belgium, Brazil, Canada, Czechia, Finland, France, Germany, Ireland, Israel, Italy, Korea, Republic of, Lithuania, Mexico, Poland, Portugal, Russian Federation, Spain, Taiwan, Turkey, United Kingdom,
Roboz GJ, Montesinos P, Selleslag D, Wei A, Jang JH, Falantes J, Voso MT, Sayar H, Porkka K, Marlton P, Almeida A, Mohan S, Ravandi F, Garcia-Manero G, Skikne B, Kantarjian H. Design of the randomized, Phase III, QUAZAR AML Maintenance trial of CC-486 (oral azacitidine) maintenance therapy in acute myeloid leukemia. Future Oncol. 2016 Feb;12(3):293-302. doi: 10.2217/fon.15.326. Epub 2016 Jan 19. — View Citation
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Kaplan-Meier (K-M) Estimate for Overall Survival (OS) | Overall survival was defined as time from randomization to death from any cause; participants surviving at the end of the follow-up period, or who withdraw consent, or who were lost to follow up were censored at the date last known alive. | Day 1 (randomization) up to data cut off date of 15 July 2019; median follow-up for OS estimated by the reverse K-M method was 41.2 months for all participants. | |
Secondary | Kaplan-Meier Estimate of Relapse Free Survival (RFS) | RFS was defined as the time from the date of randomization to the date of documented relapse or death from any cause, whichever occurred first. Participants who were still alive without documented relapse, or who were lost to follow-up or withdrew consent without documented relapse, were censored at the date of their last bone marrow assessment, prior to receiving any other therapy for AML.
Documented relapse was defined as the earliest date of the following: = 5% bone marrow blasts (myeloblasts) from Central Pathology report, or appearance of > 0% blasts in the peripheral blood with a later bone marrow confirmation (bone marrow blast [myeloblasts] = 5%) within 100 days, or at least 2 peripheral blasts = 5% within 30 days. |
From day 1 (randomization) up to data cut off date of 15 July 2019; approximately 74 months | |
Secondary | Kaplan-Meier Estimate of Time to Relapse | Time to relapse was defined as the interval (in months) from the date of randomization to the date of documented relapse. Estimates of relapse rate were based on the cumulative incidence function from a competing risk analysis with death as a competing risk for relapse from complete remission (CR)/ complete remission with incomplete blood count recovery (CRi).
Documented relapse was defined as, the earliest date of the following: = 5% bone marrow blasts (myeloblasts) from Central Pathology report, or appearance of > 0% blasts in the peripheral blood with a later bone marrow confirmation (bone marrow blast [myeloblasts] = 5%) within 100 days, or at least 2 peripheral blasts = 5% within 30 days. |
Day 1 (randomization) to the date of the data cut off date of 15 July 2019; approximately 74 months | |
Secondary | Kaplan-Meier Estimates of Time to Discontinuation From Treatment | Time to discontinuation from treatment was assessed and defined as the interval from the date of randomization to the date of discontinuation from study drug. Participants who were receiving treatment at the time of study closure were censored at the date of last visit. Estimates of relapse rate were based on the cumulative incidence function from a competing risk analysis with death as a competing risk for relapse from CR/ CRi. | From day 1 (randomization) up to data cut off date of 15 July 2019; approximately 74 months | |
Secondary | Number of Participants With Treatment Emergent Adverse Events (TEAEs) | TEAEs include AEs that started between first dose date and 28 days after the last dose of study drug.
A serious adverse event (SAE) is: Death Life-threatening event Inpatient hospitalization or prolongation of existing hospitalization Persistent or significant disability or incapacity Congenital anomaly or birth defect Other important medical event The severity of AEs were assessed by the investigator according to the Common Terminology Criteria for Adverse Events (CTCAE) Version 4.0: Grade 1 (Mild): asymptomatic/mild symptoms; clinical or diagnostic observations only; intervention not indicated. Grade 2 (Moderate): minimal, local or noninvasive intervention indicated; limiting age-appropriate activities of daily living. Grade 3: Severe or medically significant but not immediately life-threatening; hospitalization or prolongation of hospitalization indicated; disabling; limiting self care Grade 4: Life-threatening; urgent intervention indicated. Grade 5: Death due to AE. |
Day 1 (randomization) to the data cut off date of 15 July 2019; the median treatment duration was 11.6 months (range: 0.5 to 74.3 months) for the oral aza arm and 5.7 months (range: 0.7 to 68.5 months) for the placebo arm. | |
Secondary | Mean Change in the Functional Assessment of Chronic Illness Therapy (FACIT-Fatigue Scale V 4.0) Score From Baseline | The functional assessment of chronic illness therapy (FACIT-Fatigue Scale V 4.0) is a subscale of the FACIT-F and has been validated in the oncology setting. The FACIT-Fatigue Scale is a short, 13-item, self-administered tool that measures the level of fatigue in an individual during usually daily activities over the past week. The level of fatigue is measured on a 5-point Likert scale (0 = not at all; 4 = very much. The scores range from 0 to 52, with higher scores indicating less fatigue. If there were missing items, but the participant answered at least 50% of the items, then subscores were prorated. | Baseline to Cycle 2, Day 1 (C2D1), C3D1, C4D1, C5D1, C6D1, C7D1, C8D1, C9D1C3, C10D1, C11D1, C12D1, C13D1, C14D1, C15D1, C15D1, C16D1, C17D1, C18D1, C19D1, C20D1, C21D1, C22D1, C23D1, C24D1, C25D1 and continued on day 1 at each cycle through C33D1 | |
Secondary | Mean Change in the European Quality of Life-Five Dimensions-Three Levels (EQ-5D-3L) Score From Baseline | The EQ-5D-3L is a self-administered questionnaire consisting of 5 questions, pertaining to specific health dimensions (ie, mobility, self-care, pain, usual activities, and anxiety/depression) and a health status scale. Each question has 3 levels of severity, corresponding to no problems, moderate problems and severe problems. Canadian population sample weights were used to derive health utility scores. A higher utility score represents a better health state. A clinically meaningful improvement or worsening was defined as at least 0.08 points of improvement or 0.10 points of worsening from baseline, respectively, for the EQ-5D-3L Health Utility Index. The instrument is scored using the United Kingdom (UK) index ranges from -0.594 to 1, where 0 equates to death and 1 equates to full health; -0.594 is considered 'worse than death'. | Baseline to Cycle 2, Day 1 (C2D1), C3D1, C4D1, C5D1, C6D1, C7D1, C8D1, C9D1C3, C10D1, C11D1, C12D1, C13D1, C14D1, C15D1, C15D1, C16D1, C17D1, C18D1, C19D1, C20D1, C21D1, C22D1, C23D1, C24D1, C25D1 and continued on day 1 at each cycle through C33D1 | |
Secondary | Percentage of Participants Experiencing a Clinically Meaningful Change (Improvement, No Change and Deterioration) in the FACIT-Fatigue Scale From Baseline | A clinically meaningful improvement or worsening was defined as at least 3 points of improvement or worsening from baseline, respectively, for FACIT-Fatigue. The functional assessment of chronic illness therapy (FACIT-Fatigue Scale V 4.0) is a subscale of the FACIT-F and has been validated in the oncology setting. The FACIT-Fatigue Scale is a short, 13-item, self-administered tool that measures the level of fatigue in an individual during usually daily activities over the past week. The level of fatigue is measured on a 5-point Likert scale (0 = not at all; 4 = very much. The scores range from 0 to 52, with higher scores indicating less fatigue. If there were missing items, but the participant answered at least 50% of the items, then subscores were prorated. | Baseline to Cycle 2, Day 1 (C2D1), C3D1, C4D1, C5D1, C6D1, C7D1, C8D1, C9D1C3, C10D1, C11D1, C12D1, C13D1, C14D1, C15D1, C15D1, C16D1, C17D1, C18D1, C19D1, C20D1, C21D1, C22D1, C23D1, C24D1, C25D1 and continued on day 1 at each cycle through C33D1 | |
Secondary | Percentage of Participants Experiencing a Clinically Meaningful Change (Improvement, No Change and Deterioration) in the EQ-5D-3L Scale From Baseline | The EQ-5D-3L is a self-administered questionnaire consisting of 5 questions, pertaining to specific health dimensions (ie, mobility, self-care, pain, usual activities, and anxiety/depression) and a health status scale. Each question has 3 levels of severity, corresponding to no problems, moderate problems and severe problems. Canadian population sample weights were used to derive health utility scores. A higher utility score represents a better health state. A clinically meaningful improvement or worsening was defined as at least 0.08 points of improvement or 0.10 points of worsening from baseline, respectively, for the EQ-5D-3L Health Utility Index. The instrument is scored using the United Kingdom (UK) index ranges from -0.594 to 1, where 0 equates to death and 1 equates to full health; -0.594 is considered 'worse than death'. | Baseline to Cycle 2, Day 1 (C2D1), C3D1, C4D1, C5D1, C6D1, C7D1, C8D1, C9D1C3, C10D1, C11D1, C12D1, C13D1, C14D1, C15D1, C15D1, C16D1, C17D1, C18D1, C19D1, C20D1, C21D1, C22D1, C23D1, C24D1, C25D1 and continued on day 1 at each cycle through C33D1 | |
Secondary | Time to Definitive Clinically Meaningful Deterioration for = 2 Consecutive Visits as Measured Using the Functional Assessment of Chronic Illness Therapy (FACIT-Fatigue Scale V 4.0) | Clinically meaningful deterioration was defined as at least 3 points of deterioration from baseline for at least 2 consecutive visits for the FACIT--Fatigue. The FACIT-Fatigue Scale V 4.0) is a subscale of the FACIT-F and has been validated in the oncology setting. The FACIT-Fatigue Scale is a short, 13-item, self-administered tool that measures the level of fatigue in an individual during usually daily activities over the past week. The level of fatigue is measured on a 5-point Likert scale (0 = not at all to 4 = very much. The scores that range from 0 to 52, with higher scores indicating less fatigue. If there were missing items, but the participant answered at least 50% of the items, subscores were prorated. | From day 1 (randomization) up to data cut off date of 15 July 2019; approximately 74 months | |
Secondary | Time to Definitive Clinically Meaningful Deterioration for = 2 Consecutive Visits as Measured Using the EQ-5D HRQoL Scale | Clinically meaningful deterioration was defined at least 0.10 point of deterioration from baseline for at least 2 consecutive visits for the EQ-5D Health Utility Index. The EQ-5D-3L is a self-administered questionnaire consisting of 5 questions, pertaining to specific health dimensions (ie, mobility, self-care, pain, usual activities, and anxiety/depression) and a health status scale. Each question has 3 levels of severity, corresponding to no problems, moderate problems and severe problems. Canadian population sample weights were used to derive health utility scores. A higher utility score represents a better health state. A clinically meaningful improvement or worsening was defined as at least 0.08 points of improvement or 0.10 points of worsening from baseline, respectively, for the EQ-5D-3L Health Utility Index. The EQ-5D-3L is scored using the UK index ranges from -0.594 to 1, where 0 equates to death and 1 equates to full health; -0.594 is considered 'worse than death'. | From day 1 (randomization) up to data cut off date of 15 July 2019; approximately 74 months | |
Secondary | Healthcare Resource Utilization (HRU): Rate of Hospital Events Per Person Year | HRU is defined as any consumption of healthcare resources directly or indirectly related to the treatment of the patient. HRU is a key component to understand treatment costs and budget impact of new treatments from a provider perspective. | Day 1 (randomization) to the date of the data cut off date of 15 July 2019; approximately 74 months | |
Secondary | Healthcare Resource Utilization (HRU): Number of Days Hospitalized Per Person-Year | HRU is defined as any consumption of healthcare resources directly or indirectly related to the treatment of the patient. HRU is a key component to understand treatment costs and budget impact of new treatments from a provider perspective. | Day 1 (randomization) to the date of the data cut off date of 15 July 2019; approximately 74 months |
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