Prognostic Factors and Effect Modifiers in Patients With Relapse or Refractory Diffuse Large B‐Cell Lymphoma After Two Lines of Therapy: A Systematic Literature and Expert Clinical Review
The objective of this systematic literature review (SLR) combined with expert clinical review was to identify and rank prognostic factors and effect measure modifiers (EMMs) systematically and comprehensively in patients with relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL) who ini...
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Published in | European journal of haematology Vol. 115; no. 2; pp. 104 - 116 |
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Main Authors | , , , , , , , , , , , , , , , , , , , |
Format | Journal Article |
Language | English |
Published |
England
Wiley Subscription Services, Inc
01.08.2025
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Summary: | The objective of this systematic literature review (SLR) combined with expert clinical review was to identify and rank prognostic factors and effect measure modifiers (EMMs) systematically and comprehensively in patients with relapsed or refractory (R/R) diffuse large B-cell lymphoma (DLBCL) who initiate treatment after ≥ 2 prior lines of therapy (LoTs; 3L+ R/R DLBCL).
We performed an SLR of studies published between 2016 and 2021 and extracted study characteristics, prognostic factors, and EMMs. This was followed by clinical review and ranking of findings by subject matter experts using questionnaires, follow-up interviews, and quantitative ranking.
Across 46 included studies, the SLR identified 36 prognostic factors significantly associated with ≥ 1 clinical outcome. Based on subject matter expert ranking of the SLR-derived list, the five most important prognostic variables in descending order are: early chemo-immunotherapy failure, Eastern Cooperative Oncology Group performance status, refractory to last LoT, number of prior LoTs, and double- or triple-hit lymphoma.
This SLR and expert clinical review is the first to provide a comprehensive assessment of prognostic factors for 3L+ R/R DLBCL. No statistically significant EMMs were identified. This robust multi-method approach can assist in selecting prognostic variables for comparative analyses between real-world studies and clinical trials. |
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Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Review-3 content type line 23 Funding: This work was supported by Regeneron Pharmaceuticals, Inc. |
ISSN: | 0902-4441 1600-0609 1600-0609 |
DOI: | 10.1111/ejh.14423 |