Challenges for quality and utilization of real-world data for diffuse large B-cell lymphoma in REALYSA, a LYSA cohort.

ABSTRACT: Real-world data (RWD) are essential to complement clinical trial (CT) data, but major challenges remain, such as data quality. REal world dAta in LYmphoma and Survival in Adults (REALYSA) is a prospective noninterventional multicentric cohort started in 2018 that included patients newly diagnosed with lymphoma in France. Herein is a proof-of-concept analysis on patients with first-line diffuse large B-cell lymphoma (DLBCL) to (1) evaluate the capacity of the cohort to provide robust data through a multistep validation process; (2) assess the consistency of the results; and (3) conduct an exploratory transportability assessment of 2 recent phase 3 CTs (POLARIX and SENIOR). The analysis population comprised 645 patients with DLBCL included before 31 March 2021 who received immunochemotherapy and for whom 3589 queries were generated, resulting in high data completeness (<4% missing data). Median age was 66 years, with mostly advanced-stage disease and high international prognostic index (IPI) score. Treatments were mostly rituximab, cyclophosphamide, doxorubicin hydrochloride, vincristine, and prednisone (R-CHOP 75%) and reduced dose R-CHOP (13%). Estimated 1-year event-free survival (EFS) and overall survival rates were 77.9% and 90.0%, respectively (median follow-up, 9.9 months). Regarding transportability, when applying the CT's main inclusion criteria (age, performance status, and IPI), outcomes seemed comparable between patients in REALYSA and standard arms of POLARIX (1-year progression-free survival 79.8% vs 79.8%) and SENIOR (1-year EFS, 64.5% vs 60.0%). With its rigorous data validation process, REALYSA provides high-quality RWD, thus constituting a platform for numerous scientific purposes. The REALYSA study was registered at www.clinicaltrials.gov as #NCT03869619.

Treatment patterns, comorbidities, healthcare resource use, and associated costs by line of chemotherapy and level of comorbidity in patients with newly-diagnosed Merkel cell carcinoma in the United States.

AIMS: To examine the characteristics of patients with newly-diagnosed Merkel cell carcinoma (MCC), analyze their treatment patterns and comorbidities after diagnosis, and evaluate the economic burden on the MCC patient population in the US. MATERIALS AND METHODS: This observational, non-interventional cohort study identified patients with MCC that were newly-diagnosed between January 1, 2010 through December 31, 2014, and whose data were either in the MarketScan Commercial Claims and Encounters (CCAE) or Medicare Supplemental and Coordination of Benefits databases. Standard descriptive statistics were used to describe patient demographics, clinical characteristics, treatment regimens, and healthcare resource use (HRU) and cost. RESULTS: Following MCC diagnosis, most patients in the study population (n = 2,177) received only surgery (34.5%) or surgery and radiotherapy without chemotherapy (22.0%), while 14.5% of patients received none of these treatments; 27.5% of patients received at least one line of chemotherapy as part of their treatment. Mean total healthcare costs per patient per year (PPPY), as well as mean inpatient, outpatient, and pharmacy costs, were significantly greater for patients who received chemotherapy compared with those who received other or no treatments. Higher HRU and mean costs were associated with increasing patient comorbidity burden, ranging from $62,401 PPPY in Deyo Charlson Comorbidity Index level 1 to $109,690 in level ≥3. LIMITATIONS: The study used claims databases that were limited to patients who are covered by large employer-sponsored insurance and/or Medicare and did not provide information regarding the rationale for treatment choice or resource use. CONCLUSIONS: The choice of treatment is a major factor in determining healthcare costs associated with MCC, with the highest costs in patients receiving chemotherapy. Patients with MCC often exhibit comorbidities, and both HRU and healthcare costs increase significantly with each comorbidity level.