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Use of interval-censored survival data as an alternative to Kaplan-Meier survival curves: studies of oral lesion occurrence in liver transplants and cancer recurrence

机译:使用间隔审查的生存数据作为Kaplan-Meier生存曲线的替代方案:肝脏移植和癌症复发的口腔病变发生研究

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After undergoing liver transplantation, children are susceptible to oral lesions due to immunosuppressant drugs that are needed to maintain the transplant. In this context, it is important to understand how disease characteristics and age at transplantation influence the development of these lesions. Monitoring of lesions begins after transplantation and children are usually observed by a specialist in stomatology at periodic visits. Consequently, lesion development is estimated to occur between two observed times, and this is characterized as interval-censored data. However, in clinical practice, it is common to assume the moment of observation as the time of event occurrence, thereby excluding interval-censored data. Here, we discuss the impact of excluding interval-censored mechanisms in statistical analyses by using simulation studies to consider differences in sample sizes and amplitudes between observed intervals. Then, application studies are presented which use a data set from a prospective study that was conducted to investigate oral lesions in patients after liver transplantation at the A.C.Camargo Cancer Center in Brazil between 2013 and 2016 and a data set involving recurrent ovarian cancer in patients diagnosed with high-grade serous carcinoma at the A.C.Camargo Cancer Center between 2003 and 2016.
机译:在进行肝移植后,由于维持移植所需的免疫抑制药物,儿童易受口腔病变的影响。在这种情况下,重要的是要了解移植的疾病特征和年龄如何影响这些病变的发展。在移植后,对病变的监测开始,儿童通常在定期访问中观察口腔医学专家。因此,估计病变发展在两个观察时间之间发生,这表征为间隔删除数据。然而,在临床实践中,通常假设观察时刻作为事件发生的时间,从而排除间隔缩短的数据。在这里,我们讨论了通过使用模拟研究来考虑观察间隔之间的样本尺寸和幅度的差异来讨论统计分析中的间隔缩短机制的影响。然后,提出了应用研究,该应用研究使用来自预期研究的数据集,该研究是在2013年和2016年间巴西的Accamargo癌症中心的肝移植后患者进行口腔病变以及涉及涉及诊断的患者复发性卵巢癌的数据集2003年至2016年间Accamargo癌症中心的高级浆液癌。

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