Peñalver Francisco-Javier, Sancho Juan-Manuel, de la Fuente Adolfo, Olave María-Teresa, Martín Alejandro, Panizo Carlos, Pérez Elena, Salar Antonio, Orfao Alberto
Department of Hematology, Hospital Universitario Fundación Alcorcón, Madrid, Spain
Clinical Hematology Department, ICO-IJC Hospital Germans Trias i Pujol, Badalona, Barcelona, Spain.
Haematologica. 2017 Feb;102(2):235-245. doi: 10.3324/haematol.2016.149120. Epub 2016 Oct 20.
Diffuse large B-cell lymphoma patients have a 5% overall risk of central nervous system events (relapse or progression), which account for high morbidity and frequently fatal outcomes, and shortened overall survival of <6 months. Early diagnosis of central nervous system events is critical for successful treatment and improved prognosis. Identification of patients at risk of central nervous system disease is critical to accurately identify candidates for central nervous system prophylaxis vs.
This report by the Spanish Lymphoma Group (GELTAMO) aims to provide useful guidelines and recommendations for the prevention, diagnosis, and treatment of central nervous system diffuse large B-cell lymphoma patients with, or at risk of, leptomeningeal and/or brain parenchyma lymphoma relapse. A panel of lymphoma experts working on behalf of GELTAMO reviewed all data published on these topics available in PubMed up to May 2016. Recommendations were classified according to the Grading of Recommendations Assessment Development and Evaluation (GRADE) approach. A practical algorithm based on the proposed recommendations was then developed (Figure 1). Initial discussions among experts were held in May 2014, and final consensus was reached in June 2016. The final manuscript was reviewed by all authors and the Scientific Committee of GELTAMO.
弥漫性大B细胞淋巴瘤患者发生中枢神经系统事件(复发或进展)的总体风险为5%,这些事件导致高发病率和频繁的致命后果,并使总生存期缩短至<6个月。中枢神经系统事件的早期诊断对于成功治疗和改善预后至关重要。识别有中枢神经系统疾病风险的患者对于准确确定中枢神经系统预防的候选者至关重要。
西班牙淋巴瘤研究组(GELTAMO)的这份报告旨在为预防、诊断和治疗患有或有软脑膜和/或脑实质淋巴瘤复发风险的中枢神经系统弥漫性大B细胞淋巴瘤患者提供有用的指导方针和建议。一个代表GELTAMO工作的淋巴瘤专家小组回顾了截至2016年5月在PubMed上发表的关于这些主题的所有数据。建议根据推荐评估、制定和评价分级(GRADE)方法进行分类。然后基于所提出的建议制定了一个实用的算法(图1)。专家们在2014年5月进行了初步讨论,并于2016年6月达成最终共识。最终稿件由所有作者和GELTAMO科学委员会审阅。