First LINE Treatment in DLBCL Patients: An Italian Cancer Centre Experience in a Real-Word Setting
Author(s)
Augello AF1, Musuraca G1, Liardo EV1, Parolini M1, Gentili N2, Roncadori A3, Danesi V3, Massa I4, Altini M3
1Hematology Unit, IRST IRCCS, Meldola, Italy, 2IRST IRCCS, MELDOLA, FC, Italy, 3Outcome Research, Healthcare Administration, IRST IRCCS, Meldola, FC, Italy, 4IRST IRCCS, Meldola, FC, Italy
OBJECTIVES This monocenter, observational secondary data use retrospective study aimed to describe the choice of first-line (1L) treatment of diffuse large B-cell lymphoma (DLBCL) in a real-world setting. METHODS Data of 213 newly diagnosed DLBCL patients who begun 1L at IRST between 2011 and 2017 were collected, grouping patients according to 1L treatment: 1) R-CHOP schema and 2) other schemas (OTH). Baseline characteristics, Overall Survival (OS), Progression free survival (PFS), Objective Response Rate (ORR) were presented; a propensity score inverse probability weighting was applied for adjusting for study groups imbalances. RESULTS 52.6% of patients received R-CHOP and 47.4% OTH. R-CHOP patients were younger (62 yrs vs 78; p<0.00001) and 33.7% of them had International Prognostic Score (IPI) >2 (p=0.0002). R-CHOP patients had a significantly higher OS (p<0.0001). From Cox regression analysis higher age, ECOG≥2, Stage III-IV, extranodal sites ≥2 and IPI>2 resulted associated with an increased risk of death and receiving R-CHOP treatment was a protective factor (also confirmed in the multivariable model). A propensity score inverse probability weighting applied to the multivariable-Cox-model confirmed R-CHOP treatment protective effect (HR 0.41; 95%CI [0.28;0.59]). R-CHOP treatment delayed median PFS by more than 6 years (91.1 months vs 17.5). ORR were obtained in 96.3% of R-CHOP and in 88.9% of OTH patients (p=0.045). CONCLUSIONS This study confirmed in our experience the great efficacy of R-CHOP as 1L treatment, also after having applied a propensity score adjustment, to reduce imbalances between groups.
Conference/Value in Health Info
2020-11, ISPOR Europe 2020, Milan, Italy
Value in Health, Volume 23, Issue S2 (December 2020)
Code
PCN31
Topic
Clinical Outcomes, Methodological & Statistical Research, Real World Data & Information Systems
Topic Subcategory
Clinical Outcomes Assessment, Comparative Effectiveness or Efficacy, Confounding, Selection Bias Correction, Causal Inference, Health & Insurance Records Systems
Disease
Oncology