TY - JOUR
T1 - An Epidemiological Model to Estimate the Prevalence of Diffuse Large B-Cell Lymphoma in the United States
AU - Chihara, Dai
AU - Johnston, Karissa
AU - Bolatova, Talshyn
AU - Szabo, Shelagh
AU - Kalsekar, Anupama
AU - Mutebi, Alex
AU - Yang, Huiying
AU - Liu, Yangyang
AU - Attinson, Dionna
AU - Hutchings, Martin
N1 - Publisher Copyright:
© 2022 The Authors
PY - 2022/12
Y1 - 2022/12
N2 - Background: Prevalence is reflective of disease incidence and survival, and defined as the number of patients living with active disease. In diseases such as diffuse large B-cell lymphoma (DLBCL) with treatments with curative potential, a proportion of patients are cured, leading to a need for accurate, contemporary estimates of DLBCL prevalence to gauge the impact of the rapidly emerging treatment landscape. Methods: Data from Surveillance, Epidemiology, and End Results (SEER) from 2000-2018 were utilized to develop an epidemiological model of incidence, survival, and cure, to estimate the current prevalent DLBCL population requiring active management in the United States (US). A variety of estimates were explored regarding cure rate and timing, based on a companion analysis of MarketScan data for treatment patterns and survival in incident DLBCL patients, and conditional survival analysis of SEER data. Results: Across scenarios, with estimated cure ranging from 52.8% and 68.9%, and timing of cure ranging from 1 and 20 years post diagnosis, the estimated prevalence ranged from 63,883 to 142,889. With an assumption of no cure, estimated prevalence was 179,475. Discussion: Prevalence estimates of DLBCL varied almost 3-fold, depending on specific cure adjustments made. Further understanding of DLBCL prevalence, for newly diagnosed and relapsed and/or refractory disease, is important to characterize the impact of emerging treatment options and related health care burden.
AB - Background: Prevalence is reflective of disease incidence and survival, and defined as the number of patients living with active disease. In diseases such as diffuse large B-cell lymphoma (DLBCL) with treatments with curative potential, a proportion of patients are cured, leading to a need for accurate, contemporary estimates of DLBCL prevalence to gauge the impact of the rapidly emerging treatment landscape. Methods: Data from Surveillance, Epidemiology, and End Results (SEER) from 2000-2018 were utilized to develop an epidemiological model of incidence, survival, and cure, to estimate the current prevalent DLBCL population requiring active management in the United States (US). A variety of estimates were explored regarding cure rate and timing, based on a companion analysis of MarketScan data for treatment patterns and survival in incident DLBCL patients, and conditional survival analysis of SEER data. Results: Across scenarios, with estimated cure ranging from 52.8% and 68.9%, and timing of cure ranging from 1 and 20 years post diagnosis, the estimated prevalence ranged from 63,883 to 142,889. With an assumption of no cure, estimated prevalence was 179,475. Discussion: Prevalence estimates of DLBCL varied almost 3-fold, depending on specific cure adjustments made. Further understanding of DLBCL prevalence, for newly diagnosed and relapsed and/or refractory disease, is important to characterize the impact of emerging treatment options and related health care burden.
KW - DLBCL
KW - Epidemiological modelling
KW - Incidence
KW - Prevalence
KW - SEER Cancer Medicine
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U2 - 10.1016/j.clml.2022.08.008
DO - 10.1016/j.clml.2022.08.008
M3 - Article
C2 - 36109323
AN - SCOPUS:85138101845
SN - 2152-2650
VL - 22
SP - e1092-e1099
JO - Clinical Lymphoma, Myeloma and Leukemia
JF - Clinical Lymphoma, Myeloma and Leukemia
IS - 12
ER -