医学
食管切除术
人口
数据库
肺炎
风险评估
入射(几何)
外科
败血症
插管
急诊医学
重症监护医学
食管癌
内科学
癌症
物理
计算机安全
环境卫生
计算机科学
光学
作者
Yu Ohkura,Hiroaki Miyata,Hiroyuki Konno,Harushi Udagawa,Masaki Ueno,Junichi Shindoh,Hiraku Kumamaru,Go Wakabayashi,Mitsukazu Gotoh,Masaki Mori
摘要
Risk prediction models for postoperative morbidity after esophagectomy using the population-based large database showed relatively fair performance. The current models may offer baseline information for risk stratification in clinical decision makings and help select more suitable surgical and nonsurgical treatment options and future clinical studies.
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