Suppr超能文献

I期试验中的毒性归因:评估剂量对相关和非相关毒性发生率的影响。

Toxicity Attribution in Phase I Trials: Evaluating the Effect of Dose on the Frequency of Related and Unrelated Toxicities.

作者信息

Eaton Anne, Iasonos Alexia, Gounder Mrinal M, Pamer Erika G, Drilon Alexander, Vulih Diana, Smith Gary L, Ivy S Percy, Spriggs David R, Hyman David M

机构信息

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York.

Department of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, New York. Weill Cornell Medical College, New York, New York.

出版信息

Clin Cancer Res. 2016 Feb 1;22(3):553-9. doi: 10.1158/1078-0432.CCR-15-0339. Epub 2015 Aug 31.

Abstract

PURPOSE

Phase I studies rely on investigators to accurately attribute adverse events as related or unrelated to study drug. This information is ultimately used to help establish a safe dose. Attribution in the phase I setting has not been widely studied and assessing the accuracy of attribution is complicated by the lack of a gold standard. We examined dose-toxicity relationships as a function of attribution and toxicity category to evaluate for evidence of toxicity misattribution.

EXPERIMENTAL DESIGN

Individual patient records from 38 phase I studies activated between 2000 and 2010 were used. Dose was defined as a percentage of maximum dose administered on each study. Relationships between dose and patient-level toxicity were explored graphically and with logistic regression. All P values were two-sided.

RESULTS

11,909 toxicities from 1,156 patients were analyzed. Unrelated toxicity was not associated with dose (P = 0.0920 for grade ≥ 3, P = 0.4194 for grade ≥ 1), whereas related toxicity increased with dose (P < 0.0001, both grade ≥ 3 and ≥ 1). Similar results were observed across toxicity categories. In the five-tier system, toxicities attributed as "possibly," "probably," or "definitely" related were associated with dose (all P < 0.0001), whereas toxicities attributed as "unlikely" or "unrelated" were not (all P > 0.1).

CONCLUSIONS

Reassuringly, we did not observe an association between unrelated toxicity rate and dose, an association that could only have been explained by physician misattribution. Our findings also confirmed our expectation that related toxicity rate increases with dose. Our analysis supports simplifying attribution to a two-tier system by collapsing "possibly," "probably," and "definitely" related.

摘要

目的

I期研究依赖研究人员准确判定不良事件与研究药物相关或不相关。该信息最终用于帮助确定安全剂量。I期环境中的判定尚未得到广泛研究,且由于缺乏金标准,评估判定的准确性变得复杂。我们检查了剂量-毒性关系作为判定和毒性类别的函数,以评估毒性误判的证据。

实验设计

使用了2000年至2010年启动的38项I期研究的个体患者记录。剂量定义为每项研究中给予的最大剂量的百分比。通过图形和逻辑回归探索剂量与患者水平毒性之间的关系。所有P值均为双侧。

结果

分析了来自1156名患者的11909例毒性事件。不相关毒性与剂量无关(≥3级时P = 0.0920,≥1级时P = 0.4194),而相关毒性随剂量增加(≥3级和≥1级时P均<0.0001)。在不同毒性类别中观察到类似结果。在五级系统中,归因于“可能”、“很可能”或“肯定”相关的毒性与剂量相关(所有P < 0.0001),而归因于“不太可能”或“不相关”的毒性则不然(所有P > 0.1)。

结论

令人放心的是,我们未观察到不相关毒性率与剂量之间的关联,这种关联只能由医生误判来解释。我们的研究结果也证实了我们的预期,即相关毒性率随剂量增加。我们的分析支持通过合并“可能”、“很可能”和“肯定”相关来将判定简化为两级系统。

相似文献

引用本文的文献

7
Cancer drug development: The missing links.癌症药物研发:缺失的环节。
Exp Biol Med (Maywood). 2019 May;244(8):663-689. doi: 10.1177/1535370219839163. Epub 2019 Apr 8.
8
Calcitriol and cancer therapy: A missed opportunity.骨化三醇与癌症治疗:一个错失的机遇。
Bone Rep. 2018 Jun 13;9:110-119. doi: 10.1016/j.bonr.2018.06.002. eCollection 2018 Dec.
9
Phase I Designs that Allow for Uncertainty in the Attribution of Adverse Events.允许不良事件归因存在不确定性的I期设计。
J R Stat Soc Ser C Appl Stat. 2017 Nov;66(5):1015-1030. doi: 10.1111/rssc.12195. Epub 2016 Nov 7.

本文引用的文献

1
Redefining the primary objective of phase I oncology trials.重新定义肿瘤学 I 期试验的主要目标。
Nat Rev Clin Oncol. 2015 Mar;12(3):126. doi: 10.1038/nrclinonc.2014.157. Epub 2014 Sep 9.
2
Adverse event reporting in cancer clinical trial publications.癌症临床试验出版物中的不良事件报告。
J Clin Oncol. 2014 Jan 10;32(2):83-9. doi: 10.1200/JCO.2013.52.2219. Epub 2013 Dec 9.
7
Clinical trials data collection: when less is more.临床试验数据收集:少即是多。
J Clin Oncol. 2010 Dec 1;28(34):5019-21. doi: 10.1200/JCO.2010.31.7024. Epub 2010 Oct 4.

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验