癌症二期试验协议中的支持性证据:内容分析

Selin Bicer, Angela Nelson, Katerina Carayannis, Jonathan Kimmelman
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引用次数: 0

摘要

背景 2 期试验对于设计确定性疗效试验或加速审批至关重要。然而,候选药物在 2 期试验中的高损耗率引发了对其支持证据的质疑。方法 我们对癌症 2 期试验的支持性证据进行了分类。我们还设计了一套方案,用于捕捉能够评估此类证据强度的要素。利用这一框架,我们对临床试验网(ClinicalTrials.gov)上随机抽样的 50 项始于 2014 年 1 月至 2019 年 1 月的 2 期癌症单一疗法试验方案中提供的支持性证据进行了内容分析。结果 在我们抽样的 50 个试验方案中,52% 得到了行业资助。大多数方案援引了针对不同癌症的试验(28 项,56%)或临床前研究(48 项,96%)提供的支持性证据,但没有援引涉及目标药物-适应症配对的临床研究(23 项,46%)提供的支持性证据。在提供模型证据时,只有一份方案(2%)解释了其转化相关性。相反,方案通过描述模型和靶标系统共有的分子(86%)和病理生理(84%)过程来暗示可转化性。方案通常提供了用于评估支持性试验的规模、精确度和偏倚风险的信息(分别为 43、93%、91% 和 47%)。然而,临床前研究往往无法获得此类信息(n = 49、53%、22%、59%)。结论 支持性证据是证明临床假设所需的科学资源和患者合理性的关键。试验方案往往忽略了一些要素,而这些要素有助于对 2 期单一疗法癌症试验的支持性证据进行批判性评估。这些缺陷表明,采用更有条理的方法来提供支持性证据是大有可为的。
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Supporting Evidence in Phase 2 Cancer Trial Protocols: A Content Analysis
Background Phase 2 trials are instrumental for designing definitive efficacy trials or attaining accelerated approval. However, high attrition of drug candidates in phase 2 raises questions about their supporting evidence. Methods We developed a typology of supporting evidence for phase 2 cancer trials. We also devised a scheme for capturing elements that enable an assessment of the strength of such evidence. Using this framework, we content analyzed supporting evidence provided in protocols of 50 randomly sampled phase 2 cancer monotherapy trials starting between January 2014 and January 2019, available on ClinicalTrials.gov. Results Of the 50 protocols in our sample, 52% were industry funded. Most invoked supporting evidence deriving from trials against different cancers (n = 28, 56%) or preclinical studies (n = 48, 96%), but not from clinical studies involving the target drug-indication pairing (n = 23, 46%). When presenting evidence from models, only one protocol (2%) explained their translational relevance. Instead, protocols implied translatability by describing molecular (86%) and pathophysiological (84%) processes shared by model and target systems. Protocols often provided information for assessing the magnitude, precision and risk of bias for supporting trials (n = 43, 93%, 91%, 47%, respectively). However, such information was often unavailable for preclinical studies (n = 49, 53%, 22%, 59%). Conclusion Supporting evidence is key to justifying the commitment of scientific resources and patients to a clinical hypothesis. Protocols often omit elements that would enable critical assessment of supporting evidence for phase 2 monotherapy cancer trials. These gaps suggest the promise of more structured approaches for presenting supporting evidence.
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