Almost all articles on cancer prognostic markers report statistically significant results

被引:176
作者
Kyzas, Panayiotis A. [1 ]
Denaxa-Kyza, Despina [1 ]
Ioannidis, John P. A. [1 ,2 ,3 ]
机构
[1] Univ Ioannina, Sch Med, Dept Hyg & Epidemiol, Clin & Mol Epidemiol Unit, GR-45110 Ioannina, Greece
[2] Fdn Res & Technol Hellas, Biomed Res Inst, Ioannina, Greece
[3] Tufts Univ, Inst Clin Res & Hlth Policy Studies, New England Med Ctr, Boston, MA 02111 USA
关键词
prognosis; cancer; bias; reporting; publication bias; selective reporting bias; statistical significance;
D O I
10.1016/j.ejca.2007.08.030
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
We aimed to understand the extent of the pursuit for statistically significant results in the prognostic literature of cancer. we evaluated 340 articles included in prognostic marker meta-analyses (Database 1) and 1575 articles on cancer prognostic markers published in 2005 (Database 2). For each article, we examined whether the abstract reported any statistically significant prognostic effect for any marker and any outcome ('positive' articles). 'Negative' articles were further examined for statements made by the investigators to overcome the absence of prognostic statistical significance. We also examined how the articles of Database 1 had presented the relative risks that were included in the respective meta-analyses. 'Positive' prognostic articles comprised 90.6% and 95.8% in Databases 1 and 2, respectively. Most of the 'negative' prognostic articles claimed significance for other analyses, expanded on non-significant trends or offered apologies that were occasionally remote from the original study aims. only five articles in Database 1 (1.5%) and 21 in Database 2 (1.3%) were fully 'negative' for all presented results in the abstract and without efforts to expand on non-significant trends or to defend the importance of the marker with other arguments. Of the statistically non-significant relative risks in the meta-analyses, 25% had been presented as statistically significant in the primary papers using different analyses compared with the respective meta-analysis. We conclude that almost all articles on cancer prognostic marker studies highlight some statistically significant results. Under strong reporting bias, statistical significance loses its discriminating ability for the importance of prognostic markers. (c) 2007 Published by Elsevier Ltd.
引用
收藏
页码:2559 / 2579
页数:21
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