Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models

Seyednasrollah Fatemeh; Mahmoudian Mehrad; Rautakorpi Liisa; Hirvonen Outi; Laitinen Tarja; Jyrkkio Sirkku; Elo Laura L.

首页> 外文期刊>European urology >Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models

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Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models

机译：回复Tuomas Mirtti和Tero Aittokallio给编辑Re：Fatemeh Seyednasrollah，Mehrad Mahmoudian，Liisa Rautakorpi，等。现实世界患者的抗性阉割前列腺癌患者中的基于试验的预后模型有多可靠？ EUR UROL。 2017; 71：838-40。试验估计预后模型的临床效用

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来源
《European urology》 |2017年第3期|共2页
作者
Seyednasrollah Fatemeh; Mahmoudian Mehrad; Rautakorpi Liisa; Hirvonen Outi; Laitinen Tarja; Jyrkkio Sirkku; Elo Laura L.;
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作者单位

Turku Ctr Biotechnol Turku Finland;

Turku Ctr Biotechnol Turku Finland;

Turku Univ Dept Oncol &

Radiotherapy Cent Hosp Turku Finland;

Turku Univ Dept Oncol &

Radiotherapy Cent Hosp Turku Finland;

Turku Univ Hosp Dept Pulm Dis &

Clin Allergol Turku Finland;

Turku Ctr Biotechnol Turku Finland;

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原文格式 PDF
正文语种 eng
中图分类泌尿科学（泌尿生殖系疾病）;
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1. Reply to Tuomas Mirtti and Tero Aittokallio's Letter to the Editor re: Fatemeh Seyednasrollah, Mehrad Mahmoudian, Liisa Rautakorpi, et al. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? Eur Urol. 2017;71:838-40. Clinical Utility of Trial-estimated Prognostic Models [J] . Seyednasrollah Fatemeh, Mahmoudian Mehrad, Rautakorpi Liisa, European urology . 2017,第3期

机译：回复Tuomas Mirtti和Tero Aittokallio给编辑Re：Fatemeh Seyednasrollah，Mehrad Mahmoudian，Liisa Rautakorpi，等。现实世界患者的抗性阉割前列腺癌患者中的基于试验的预后模型有多可靠？ EUR UROL。 2017; 71：838-40。试验估计预后模型的临床效用
2. How Reliable are Trial-based Prognostic Models in Real-world Patients with Metastatic Castration-resistant Prostate Cancer? [J] . Seyednasrollah Fatemeh, Mahmoudian Mehrad, Rautakorpi Liisa, European urology . 2017,第5期

机译：现实世界患者的抗性阉割前列腺癌患者中的基于试验的预后模型有多可靠？
3. Reply to Giandomenico Roviello, Alberto Bottini, and Daniele Generali's Letter to the Editor re: Karim Fizazi, Kim N. Chi, Johann S. de Bono, et al. Low Incidence of Corticosteroid-associated Adverse Events on Long-term Exposure to Low-dose Prednisone Given with Abiraterone Acetate to Patients with Metastatic Castration-resistant Prostate Cancer. Eur Urol. In press. http://dx.doi.org/10.1016/j.eururo.2016.02.035. Corticosteroid-associated Adverse Events in Elderly Patients [J] . Fizazi Karim, De Porre Peter, Londhe Anil, European urology . 2016,第2期

机译：回复Giandomenico Roviello，Alberto Bottini和Daniele Generali给编辑的信，关于：Karim Fizazi，Kim N. Chi，Johann S. de Bono等。转移性去势抵抗性前列腺癌患者长期服用低剂量泼尼松和醋酸阿比特龙后，皮质类固醇相关不良事件发生率低。 Eur Urol。在新闻。 http://dx.doi.org/10.1016/j.eururo.2016.02.035。老年患者皮质类固醇相关不良事件
4. A prognostic model for stratifying clinical outcomes in chemotherapy-naive metastatic castration-resistant prostate cancer patients treated with abiraterone acetate [O] . Daniel Joseph Khalaf, Claudia M. Avilés, Arun A. Azad, 2018

机译：醋酸阿比特龙治疗的单纯化疗转移性去势抵抗性前列腺癌患者临床预后分层的预后模型
5. Prediction of overall survival for patients with metastatic castration-resistant prostate cancer: development of a prognostic model through a crowdsourced challenge with open clinical trial data [O] . Guinney, Justin, Wang, Tao, Laajala, Teemu D., 2017

机译：转移性去势抵抗性前列腺癌患者的总生存期预测：通过公开临床试验数据通过众包挑战建立预后模型

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