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超越风险比:免疫肿瘤疗法临床效果量化的适当统计方法 - 以荷兰为例。

Beyond hazard ratios: appropriate statistical methods for quantifying the clinical effectiveness of immune-oncology therapies - the example of the Netherlands.

机构信息

Institute for Medical Technology Assessment (iMTA), Erasmus University Rotterdam, Burgemeester Oudlaan 50, Rotterdam, 3062 PA, The Netherlands.

Erasmus School of Health Policy & Management (ESHPM), Erasmus University Rotterdam, Rotterdam, the Netherlands.

出版信息

BMC Med Res Methodol. 2024 Oct 30;24(1):260. doi: 10.1186/s12874-024-02373-5.

Abstract

BACKGROUND

The Dutch Committee for the Evaluation of Oncological Drugs evaluates the effectiveness of new oncological treatments. The committee compares survival endpoints to the so-called PASKWIL-2023 criteria for palliative treatments, which define if treatment effects are considered clinically relevant. A positive recommendation depends on whether the median overall survival (OS) is below or above 12 months in the comparator arm. If the former applies, an OS benefit of at least 12 weeks, and a hazard ratio (HR) smaller than 0.7 are required. If the latter applies, an OS or progression free survival (PFS) benefit of at least 16 weeks, and an HR smaller than 0.7 are required. Nonetheless, the median survival time may not be reached and the proportional hazards (PH) assumption, quantified by the HR, is likely violated for immuno-oncology (IO) therapies, deeming these criteria inappropriate.

METHODS

We conducted a systematic literature review to identify statistical methods used to represent the clinical effectiveness of IO therapies based on trial data. We searched MEDLINE and EMBASE databases from inception to August 31, 2022, limited to English papers. Methodological studies, randomized controlled trials, and discussion papers recognising key issues of survival data analysis of IO therapies were eligible for inclusion.

RESULTS

A total of 1,035 unique references were identified. After full paper screening, 17 publications were included in the review. Additionally, 43 papers were identified through 'snowballing'. We conclude that the current PASKWIL-2023 criteria are methodologically incorrect under non-PH. In that case, single summary statistics fail to capture the treatment effect and any measure should be interpreted in combination with the Kaplan-Meier curves. We recommend 'parameter-free' measures, such as the difference in restricted mean survival time, avoiding assumptions on the underlying survival.

CONCLUSIONS

The HR is commonly used to assess treatment effectiveness, without investigating the validity of the PH assumption. This happens with the application of the PASKWIL-2023 criteria for palliative oncology treatments, which can only be valid under a PH setting. Under non-PH, alternative treatment effect measures are suggested. We propose a step-by-step approach supporting the choice of the most appropriate methods to quantify treatment effectiveness that can be used to redefine the PASKWIL-2023 criteria, or similar criteria in other clinical areas.

摘要

背景

荷兰肿瘤药物评估委员会评估新的肿瘤治疗方法的有效性。该委员会将生存终点与所谓的姑息治疗 PASKWIL-2023 标准进行比较,该标准定义了治疗效果是否被认为具有临床相关性。积极的推荐取决于比较组中中位总生存期(OS)是否低于或高于 12 个月。如果前者适用,则需要 OS 获益至少 12 周,且风险比(HR)小于 0.7。如果后者适用,则需要 OS 或无进展生存期(PFS)获益至少 16 周,且 HR 小于 0.7。然而,中位生存时间可能无法达到,并且免疫肿瘤学(IO)治疗的比例风险(PH)假设,由 HR 量化,可能会被违反,使得这些标准不适用。

方法

我们进行了系统的文献综述,以确定基于试验数据代表 IO 治疗临床有效性的统计方法。我们从 2022 年 8 月 31 日起,在 MEDLINE 和 EMBASE 数据库中进行了搜索,仅限于英文论文。纳入标准为方法学研究、随机对照试验以及承认 IO 治疗生存数据分析关键问题的讨论文件。

结果

共确定了 1035 个独特的参考文献。经过全文筛选,有 17 篇论文被纳入综述。此外,通过“滚雪球”法确定了 43 篇论文。我们的结论是,目前的 PASKWIL-2023 标准在非 PH 情况下在方法学上是不正确的。在这种情况下,单一的汇总统计数据无法捕捉治疗效果,任何措施都应与 Kaplan-Meier 曲线结合进行解释。我们建议使用“无参数”措施,例如受限平均生存时间的差异,避免对基础生存的假设。

结论

HR 常用于评估治疗效果,而不调查 PH 假设的有效性。在姑息治疗的 PASKWIL-2023 标准的应用中就是这种情况,该标准只能在 PH 环境下有效。在非 PH 情况下,建议使用替代的治疗效果衡量标准。我们提出了一个逐步的方法,支持选择最适合的方法来量化治疗效果,可以用于重新定义 PASKWIL-2023 标准,或在其他临床领域类似的标准。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/1907/11523788/27d56d833c59/12874_2024_2373_Fig1_HTML.jpg

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