医学
多元分析
软组织肉瘤
多元统计
病态的
Lasso(编程语言)
观察研究
肿瘤科
回顾性队列研究
新辅助治疗
内科学
逻辑回归
外科
软组织
癌症
统计
乳腺癌
万维网
计算机科学
数学
作者
Jiayu Hu,Ying Wang,Xiangmin Tong,Tian Yang
出处
期刊:Ejso
[Elsevier BV]
日期:2021-04-18
卷期号:47 (8): 2206-2206
被引量:80
标识
DOI:10.1016/j.ejso.2021.04.011
摘要
We read with great interests the study by Dr. Bonvalot et al. [ [1] Bonvalot S. Wunder J. Gronchi A. et al. Complete pathological response to neoadjuvant treatment is associated with better survival outcomes in patients with soft tissue sarcoma: results of a retrospective multicenter study. Eur J Surg Oncol. 2021; https://doi.org/10.1016/j.ejso.2021.02.024 Abstract Full Text Full Text PDF PubMed Scopus (6) Google Scholar ] In this retrospective observational study of 330 patients treated with neoadjuvant treatment and surgical resection for soft tissue sarcoma, multivariate analysis showed that pathological complete response (pCR) to neoadjuvant treatment was independently associated with better distant recurrence-free survival (MFS), local recurrence-free survival (LRFS), disease-free survival (DFS) and overall survival (OS) at 3 years. Though inspiring, several points about the statistical analysis of this study warrants further elucidation. Reply to “When to consider logistic LASSO regression in multivariate analysis?”European Journal of Surgical OncologyVol. 47Issue 8PreviewWe thank Dr Jia-Yu Hu and colleagues, Ying Wang, Xiang-Min Tong, Tian Yang for their comments on our Article [1]. Below we provide short answers to the remarks posed by them. Full-Text PDF
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