Biostatistics Primer What a Clinician Ought to Know-Prognostic and Predictive Factors

被引:41
作者
Simms, Lorinda [1 ]
Barraclough, Helen [2 ]
Govindan, Ramaswamy [3 ,4 ]
机构
[1] Eli Lilly & Co, Stat & Informat Sci, Toronto, ON, Canada
[2] Eli Lilly & Co, Asia Pacific Stat Sci, Sydney, NSW, Australia
[3] Washington Univ, Sch Med, Div Oncol, Dept Med, St Louis, MO 63110 USA
[4] Washington Univ, Sch Med, Alvin J Siteman Canc Ctr, St Louis, MO 63110 USA
关键词
Prognostic; Predictive; Treatment interaction; Statistics; SUBGROUP ANALYSIS; TRIALS;
D O I
10.1097/JTO.0b013e318292bdcd
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Several prognostic factors in oncology have been established over the years, such as performance status, tumor size, and disease stage. The identification of prognostic and predictive factors is becoming increasingly important in medical research, particularly as scientific discoveries have led to better understanding of diseases and genetics, resulting in tailored therapy. Advances in drug discovery and better understanding of the mechanism of action, may also identify factors that may be prognostic and/or predictive. Prognostic or predictive factors may include patient characteristics such as age, ethnicity, sex, or smoking status, disease characteristics such as disease stage or nodal status, and molecular markers such as HER2 amplification and K ras mutation. It can be challenging to distinguish whether a factor is prognostic or predictive, based on what is reported in the literature. This article is intended to help the reader assess whether a factor is prognostic and/or predictive.
引用
收藏
页码:808 / 813
页数:6
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