Negative results in cancer clinical trials—equivalence or poor accrual?

Luciano J.M. Costa , Ana Carolina G. Xavier , Auro del Giglio
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引用次数: 18

Abstract

This study was performed to evaluate randomized cancer trials resulting negative regarding inadequate accrual, unsupported assumptions of equivalence and factors implied in such assumptions. A search in PubMed electronic data base was done for a sample of 800 most recently entered studies by March 2003 indexed with MESH term “neoplasms” and categorized according to design, intervention, outcome and conclusion. Minimal detectable differences with optimized power were calculated in each comparison according to number of patients accrued. Factors related with inadequate claim for equivalence in negative comparisons were also searched. Among the papers located, 194 met requirements and 188 were analyzed leading to 392 valid comparisons addressing survival, anti cancer effect or major toxicity, 235 of which resulted “negative”. According to accrual, only 15.2% (ci95%, 9.9% to 20.3%) of negative comparisons would detect a 10% absolute difference between arms with 80% of chance. 53.6% (ci95%, 47.0% to 60.1%) of negative comparisons inadequately claimed equivalence. However, equivalence was supported by data in only 20.5% (ci95%, 12.6% to 28.4%) of negative comparisons that claimed for it. Negative comparisons based on new drugs had higher likelihood to be inadequately presented as supporting equivalence than those based in older drugs (66.7% vs. 43.5%, chi-square p=0.024). We concluded that most cancer clinical comparisons resulting negative are affected by poor accrual. They often inadequately claim for equivalence without supporting data. Comparisons involving new drugs are specially affected by this problem. Authors, editors and readers must be more rigorous regarding adequate assumptions of equivalence.

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癌症临床试验的阴性结果-等效或不良累积?
本研究的目的是评估随机癌症试验对不充分的应计性、不受支持的等效性假设和这些假设中隐含的因素的负面影响。在PubMed电子数据库中检索了2003年3月前最近进入的800项研究样本,这些研究以MESH术语“肿瘤”为索引,并根据设计、干预、结果和结论进行分类。在每次比较中,根据累积的患者数量计算具有优化功率的最小可检测差异。在负面比较中,与不充分的对等要求相关的因素也被搜索。在所找到的论文中,194篇符合要求,188篇进行了分析,得出了392项关于生存、抗癌效果或主要毒性的有效比较,其中235项结果为“阴性”。根据accrual,只有15.2% (ci95%, 9.9%至20.3%)的阴性比较会检测到组间10%的绝对差异,概率为80%。53.6% (ci95%, 47.0%至60.1%)的阴性比较没有充分声明等效性。然而,只有20.5% (ci95%, 12.6%至28.4%)的负面比较数据支持等效性。基于新药的阴性比较比基于老药的阴性比较更有可能不充分地呈现为支持等效性(66.7%比43.5%,卡方p=0.024)。我们的结论是,大多数癌症临床比较结果为阴性是受不良累积的影响。他们经常在没有支持数据的情况下不充分地声称等效。涉及新药的比较特别受到这个问题的影响。作者、编辑和读者必须更加严格地考虑对等性的充分假设。
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