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Validation of a 52-gene risk profile for outcome prediction in patients with idiopathic pulmonary fibrosis: an international, multicentre, cohort study.
The Lancet ( IF 98.4 ) Pub Date : 2017-11-01 , DOI: 10.1016/s2213-2600(17)30349-1
Jose D Herazo-Maya 1 , Jiehuan Sun 2 , Philip L Molyneaux 3 , Qin Li 4 , Julian A Villalba 5 , Argyrios Tzouvelekis 4 , Heather Lynn 4 , Brenda M Juan-Guardela 1 , Cristobal Risquez 3 , Juan C Osorio 3 , Xiting Yan 4 , George Michel 4 , Nachelle Aurelien 1 , Kathleen O Lindell 6 , Melinda J Klesen 6 , Miriam F Moffatt 3 , William O Cookson 3 , Yingze Zhang 6 , Joe G N Garcia 7 , Imre Noth 8 , Antje Prasse 9 , Ziv Bar-Joseph 10 , Kevin F Gibson 6 , Hongyu Zhao 2 , Erica L Herzog 4 , Ivan O Rosas 5 , Toby M Maher 11 , Naftali Kaminski 4
Affiliation  

The clinical course of idiopathic pulmonary fibrosis (IPF) is unpredictable. Clinical prediction tools are not accurate enough to predict disease outcomes.

中文翻译:

特发性肺纤维化患者结果预测的 52 个基因风险特征的验证:一项国际、多中心、队列研究。

特发性肺纤维化 (IPF) 的临床过程是不可预测的。临床预测工具不够准确,无法预测疾病结果。
更新日期:2017-09-20
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