Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelines.
Missing covariate data within cancer prognostic studies: a review of current reporting and proposed guidelines.
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DOI：
10.1038/sj.bjc.6601907
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发表时间：
2004-07-05
影响因子：
8.8
通讯作者：
中科院分区：
文献类型：
--
作者：
预后模型在临床决策过程中起着至关重要的作用。不幸的是，缺失的协变量数据阻碍了有效和可靠模型的构建，如果处理不当，可能会引入偏倚。报告的癌症预后研究中缺失协变量数据的程度、当前处理和报告该缺失协变量数据的质量尚不清楚。因此，我们对2002年发表在7种癌症杂志上的100篇报道多变量生存分析以评估潜在预后因素的文章进行了回顾。缺失协变量数据在进行多变量生存分析的研究中很常见，在100篇综述的文章中有81篇明显。在39篇文章中可获得具有完整数据的合格病例的百分比，其中17篇文章的合格病例百分比<90%。在81篇已知缺失数据的文章中，有32篇可获得用于处理不完整协变量的方法，最常报告的方法是完整病例和可用病例分析。该综述强调了缺失协变量数据报告的缺陷。提出了缺失协变量数据的预后研究指南，如果遵循，应在未来的文章中澄清和澄清报告。
Prognostic models play a crucial role in the clinical decision-making process. Unfortunately, missing covariate data impede the construction of valid and reliable models, potentially introducing bias, if handled inappropriately. The extent of missing covariate data within reported cancer prognostic studies, the current handling and the quality of reporting this missing covariate data are unknown. Therefore, a review was conducted of 100 articles reporting multivariate survival analyses to assess potential prognostic factors, published within seven cancer journals in 2002. Missing covariate data is a common occurrence in studies performing multivariate survival analyses, being apparent in 81 of the 100 articles reviewed. The percentage of eligible cases with complete data was obtainable in 39 articles, and was <90% in 17 of these articles. The methods used to handle incomplete covariates were obtainable in 32 of the 81 articles with known missing data and the most commonly reported approaches were complete case and available case analysis. This review has highlighted deficiencies in the reporting of missing covariate data. Guidelines for presenting prognostic studies with missing covariate data are proposed, which if followed should clarify and standardise the reporting in future articles.
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影响因子：
7
作者：
Schafer, JL;Graham, JW
通讯作者：
Graham, JW
在癌症期刊上发表的生存分析的综述。
影响因子：
8.8
作者：
Altman, D G;De Stavola, B L;Love, S B;Stepniewska, K A
通讯作者：
Stepniewska, K A
影响因子：
8.8
作者：
Riley, RD;Abrams, KR;Burchill, SA
通讯作者：
Burchill, SA
影响因子：
3.8
作者：
Altman, DG;Lyman, GH
通讯作者：
Lyman, GH
影响因子：
3.5
作者：
Staquet, M;Berzon, R;Machin, D
通讯作者：
Machin, D