International Prognostic Models as Tools for Selection of Higher-risk Trial-eligible Patients With Diffuse Large B-Cell lymphoma.
1/5 보강
PICO 자동 추출 (휴리스틱, conf 2/4)
유사 논문P · Population 대상 환자/모집단
6252 patients with DLBCL registered in the LYFO, 3725 (59.
I · Intervention 중재 / 시술
추출되지 않음
C · Comparison 대조 / 비교
추출되지 않음
O · Outcome 결과 / 결론
However, the currently used prognostic indices fail to accurately recognize some high-risk patients, particularly young patients. Therefore, additional risk factors beyond prognostic models are needed to improve patient selection for trial participation.
[BACKGROUND] The International prognostic index (IPI) is a widely used model for identifying trial-eligible patients with diffuse large B-cell lymphoma (DLBCL).
APA
Jelicic J, Juul-Jensen K, et al. (2026). International Prognostic Models as Tools for Selection of Higher-risk Trial-eligible Patients With Diffuse Large B-Cell lymphoma.. Clinical lymphoma, myeloma & leukemia, 26(1), e62-e76. https://doi.org/10.1016/j.clml.2025.08.020
MLA
Jelicic J, et al.. "International Prognostic Models as Tools for Selection of Higher-risk Trial-eligible Patients With Diffuse Large B-Cell lymphoma.." Clinical lymphoma, myeloma & leukemia, vol. 26, no. 1, 2026, pp. e62-e76.
PMID
40993016
Abstract
[BACKGROUND] The International prognostic index (IPI) is a widely used model for identifying trial-eligible patients with diffuse large B-cell lymphoma (DLBCL). However, the applicability of prognostic models in identifying trial-eligible high-intermediate (HI) and high-risk (H), particularly younger patients, has not been extensively studied.
[METHODS] Patients with newly diagnosed DLBCL were identified in the Danish Lymphoma Registry (LYFO). To evaluate the impact of IPI and age-adjusted IPI (aaIPI) on identifying higher-risk (HI and H-risk) trial-eligible patients, we retrieved the eligibility criteria for the frontMIND trial (NCT04824092).
[RESULTS] Of 6252 patients with DLBCL registered in the LYFO, 3725 (59.6%) were trial-eligible. The dataset included all IPI/aaIPI groups. However, 46% of 3725 patients would meet trial eligibility if IPI and aaIPI higher-risk patients were selected. The 5-year progression-free (PFS) and overall survival (OS) were 61.7% and 70.5%, respectively. Among patients aged ≤ 60 years (35.5%; 1321/3725), 29.5% were frontMIND-eligible based on aaIPI, with 5-year PFS and OS of 72.3% and 82.8%, respectively. Combining IPI and aaIPI did not improve the identification of patients who did not respond to standard treatment, and utilizing this strategy for trial selection was not superior to using IPI or NCCN-IPI alone.
[CONCLUSIONS] Prognostic models can help in selecting trial-eligible HI and H-risk patients, thereby increasing the chances of identifying those who do not respond to standard treatment. However, the currently used prognostic indices fail to accurately recognize some high-risk patients, particularly young patients. Therefore, additional risk factors beyond prognostic models are needed to improve patient selection for trial participation.
[METHODS] Patients with newly diagnosed DLBCL were identified in the Danish Lymphoma Registry (LYFO). To evaluate the impact of IPI and age-adjusted IPI (aaIPI) on identifying higher-risk (HI and H-risk) trial-eligible patients, we retrieved the eligibility criteria for the frontMIND trial (NCT04824092).
[RESULTS] Of 6252 patients with DLBCL registered in the LYFO, 3725 (59.6%) were trial-eligible. The dataset included all IPI/aaIPI groups. However, 46% of 3725 patients would meet trial eligibility if IPI and aaIPI higher-risk patients were selected. The 5-year progression-free (PFS) and overall survival (OS) were 61.7% and 70.5%, respectively. Among patients aged ≤ 60 years (35.5%; 1321/3725), 29.5% were frontMIND-eligible based on aaIPI, with 5-year PFS and OS of 72.3% and 82.8%, respectively. Combining IPI and aaIPI did not improve the identification of patients who did not respond to standard treatment, and utilizing this strategy for trial selection was not superior to using IPI or NCCN-IPI alone.
[CONCLUSIONS] Prognostic models can help in selecting trial-eligible HI and H-risk patients, thereby increasing the chances of identifying those who do not respond to standard treatment. However, the currently used prognostic indices fail to accurately recognize some high-risk patients, particularly young patients. Therefore, additional risk factors beyond prognostic models are needed to improve patient selection for trial participation.
MeSH Terms
Adult; Aged; Aged, 80 and over; Female; Humans; Male; Middle Aged; Young Adult; Lymphoma, Large B-Cell, Diffuse; Patient Selection; Prognosis; Registries; Risk Assessment; Clinical Trials, Phase III as Topic; Randomized Controlled Trials as Topic; Multicenter Studies as Topic