Comment on “Impact of tumor site on the prognosis of small bowel adenocarcinoma”

J. Weng, Mengying Xie, Zhe Xu, Zhiyi Wang
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引用次数: 2

Abstract

We were interested to read the article “Impact of tumor site on the prognosis of small bowel adenocarcinoma” by Falcone and colleagues1 in Tumori Journal. The authors aimed to evaluate clinical outcome of patients diagnosed with small bowel adenocarcinoma. They drew the conclusion that disease stage and primary tumor site were independent predictors of overall survival. However, some statistical problems need to be resolved before drawing that conclusion. The author mentioned in the article that multivariate Cox regression was used to test independence of significant factors in univariate analysis. All the variables (including nonsignificance factors) in the univariate analysis were imported into the multivariate regression model, resulting in an inevitable problem with overparameterization.2,3 As we know, age is a factor closely related to tumor incidence and progression. In this multivariate Cox regression, age was presented as nonsignificant, maybe caused by overparameterization. Therefore, we suggest excluding the sex factor from multivariate Cox regression. Another important question, especially in studies with small sample size, is the validity of the prediction model. This seems to be the major limitation of the Rosa Falcone et al. study, and it can be solved with statistical methods such as cross-validation and bootstrapping.4 Otherwise, the authors could draw an incorrect conclusion.
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关于“肿瘤部位对小肠腺癌预后的影响”一文的评论
我们很感兴趣地阅读了Falcone等人发表在《肿瘤杂志》上的文章《肿瘤部位对小肠腺癌预后的影响》。作者旨在评估诊断为小肠腺癌的患者的临床结果。他们得出结论,疾病分期和原发肿瘤部位是总生存率的独立预测因素。然而,在得出这一结论之前,需要解决一些统计问题。作者在文章中提到,在单因素分析中,采用多变量Cox回归来检验显著因素的独立性。单变量分析中的所有变量(包括非显著性因素)都被引入到多元回归模型中,不可避免地会出现过参数化问题。2,3我们知道,年龄是与肿瘤发生、发展密切相关的因素。在这个多变量Cox回归中,年龄表现为不显著,可能是过度参数化造成的。因此,我们建议在多变量Cox回归中排除性别因素。另一个重要的问题,特别是在小样本量的研究中,是预测模型的有效性。这似乎是Rosa Falcone等人研究的主要局限性,它可以通过交叉验证和bootstrapping等统计方法来解决否则,作者可能会得出错误的结论。
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