首页> 外文期刊>Indian journal of cancer. >Development and validation of a predictive score, for identifying poor eastern cooperative oncology group performance status (performance status 3-4) advanced nonsmall cell lung cancer patients who are likely to benefit from tyrosine kinase inhibitors
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Development and validation of a predictive score, for identifying poor eastern cooperative oncology group performance status (performance status 3-4) advanced nonsmall cell lung cancer patients who are likely to benefit from tyrosine kinase inhibitors

机译:预测得分的开发和验证,用于识别差的东方合作肿瘤组性能状态(性能状况3-4)高级Nonsmall细胞肺癌患者可能受益于酪氨酸激酶抑制剂

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BACKGROUND: One of the ten advanced lung cancer patients presents with poor eastern cooperative oncology group performance status (ECOG PS). There are no clear guidelines about management of these patients. The benefit of tyrosine kinase inhibitors (TKI) in this patient population remains questionable. Hence, in this study, we attempted to develop and validate a predictive score which would predict benefit from oral TKI. METHODS: This was a prospective observational study done at Tata Memorial Hospital, India. Patients with nonsmall cell lung cancer with ECOG PS 3-4 were included in this study. All these patients had received oral TKI on compassionate grounds and were followed up till death. The overall survival (OS) was calculated from date of start of TKI to date of death. R software was used for development and validation of the predictive model. RESULTS: The median survival duration of the discovery cohort and validation cohort were 170.5 and 115 days, respectively. The model predicted OS accurately, within +/- 2 months in 72.1% and within +/- 3 months in 81.7% of patients. CONCLUSION: The current model can predict OS in poor PS patients treated with TKI within a satisfactory clinical range and can be used for decision-making of these patients.
机译:背景:十个晚期肺癌患者中的一个,东方合作肿瘤学课程绩效状况(ECOG PS)。对这些患者的管理没有明确的准则。酪氨酸激酶抑制剂(TKI)在该患者群体中的益处仍有质疑。因此,在这项研究中,我们试图开发和验证预测分数,预测分数将从口头TKI预测受益。方法:这是印度塔塔纪念医院完成的预期观察研究。本研究中纳入了患有ECOG PS 3-4的非球体细胞肺癌的患者。所有这些患者都在富有同情心的地面上收到了口服TKI,并随访直到死亡。整体生存(OS)是根据TKI开始的日期计算到死亡日期。 R软件用于预测模型的开发和验证。结果:发现队列和验证队列的中位生存时间分别为170.5和115天。模型预测OS,在72.1%的+/- 2个月内,81.7%的患者+/- 3个月内。结论:目前模型可以在令人满意的临床范围内预测贫困PS患者的贫乏,可用于这些患者的决策。

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