Data Sheet 1_Diagnostic and therapeutic pathways for lymphoma patients: expert consensus through Nominal Group Technique and Delphi methodology.pdf
收藏NIAID Data Ecosystem2026-05-02 收录
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https://figshare.com/articles/dataset/Data_Sheet_1_Diagnostic_and_therapeutic_pathways_for_lymphoma_patients_expert_consensus_through_Nominal_Group_Technique_and_Delphi_methodology_pdf/29898605
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IntroductionLymphomas encompass a heterogeneous group of B- and T-cell malignancies necessitating a complex and precise management. With the aim to define standardized diagnostic and therapeutic pathways across multiple hematology centers in Italy, the “Right Path 4 Lymphomas” project was designed as a multidisciplinary expert platform designed to establish consensus-driven diagnostic and therapeutic pathways.
MethodsUsing a two-phase methodology – the Nominal Group Technique followed by a Delphi process – experts systematically evaluated and prioritized key diagnostic and therapeutic topics for five major lymphoma subtypes: classical Hodgkin lymphoma, diffuse large B-cell lymphoma, follicular lymphoma, mantle cell lymphoma, and peripheral T-cell lymphomas.
ResultsThe Delphi process achieved a high level of consensus on 264 of 270 statements (97.8%), reinforcing the importance of multidisciplinary collaboration in shaping evidence-based recommendations. Key areas of agreement included histopathologic and molecular diagnostic standards, risk-adapted treatment approaches integrating novel immunotherapies, and structured follow-up strategies. However, areas of debate remained over the clinical utility of minimal residual disease monitoring, optimal sequencing of immunotherapies, and the potential of CAR-T therapy versus bispecific antibodies.
DiscussionThis project highlights the need for a structured, consensus-driven approach to lymphoma care that aligns with evolving international guidelines while addressing the distinct regulatory and healthcare landscape in Italy. The findings provide a valuable framework for clinicians and policymakers to optimize lymphoma management, balancing innovation with the allocation of resources and clinical feasibility.
创建时间:
2025-08-13



