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超越最高等级:推进现代恶性血液学试验中不良事件的测量与分析

Beyond maximum grade: advancing the measurement and analysis of adverse events in malignant haematology trials in the modern era.

作者信息

Major Ajay, Dueck Amylou C, Thanarajasingam Gita

机构信息

Division of Hematology, Department of Medicine, University of Colorado School of Medicine, Aurora, CO, USA.

Division of Clinical Trials and Biostatistics, Department of Quantitative Health Sciences, Mayo Clinic, Scottsdale, AZ, USA.

出版信息

Lancet Haematol. 2025 Jun;12(6):e451-e462. doi: 10.1016/S2352-3026(25)00035-3.

Abstract

As the therapeutic landscape in haematological malignancies has evolved from traditional chemotherapies to novel biological, targeted, and cellular therapies, adverse event profiles have accordingly shifted with emerging and newly described chronic, cumulative, and delayed symptomatic adverse events. The current standard of toxicity reporting in clinical trials, centred on maximum-grade adverse events, is wholly inadequate for characterising the tolerability of therapies in the modern era. As such, the science of adverse event measurement, analysis, and reporting in clinical trials needs to evolve with our ever-growing repertoire of therapeutics to facilitate more comprehensive and accurate toxicity assessment for treatment decision making. In this first paper in the Adverse Event Reporting Series, a follow-up of a 2018 Lancet Haematology Commission, we review advances in the reporting of newly described adverse events and toxicity domains in haematological malignancies, emerging clinical trial designs to more accurately identify optimal dosing strategies through enhanced adverse event measurement, and novel analytic and visualisation tools to facilitate interpretation of trial adverse event data.

摘要

随着血液系统恶性肿瘤的治疗格局从传统化疗发展到新型生物、靶向和细胞疗法,不良事件谱也相应发生了变化,出现了新的以及新描述的慢性、累积性和迟发性症状性不良事件。以最高级别不良事件为中心的当前临床试验毒性报告标准,完全不足以描述现代疗法的耐受性。因此,临床试验中不良事件测量、分析和报告的科学需要随着我们不断增加的治疗方法而发展,以便为治疗决策提供更全面、准确的毒性评估。在不良事件报告系列的第一篇论文中,作为2018年《柳叶刀·血液学》委员会的后续研究,我们回顾了血液系统恶性肿瘤新描述的不良事件和毒性领域报告方面的进展、通过加强不良事件测量更准确地确定最佳给药策略的新兴临床试验设计,以及便于解读试验不良事件数据的新型分析和可视化工具。

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