Mortality risk modelling in colorectal surgery using Weibull accelerated failure time regression model

被引:0
|
作者
Janurova, Katerina [1 ]
机构
[1] VSB Tech Univ Ostrava, Natl Supercomp Ctr IT4Innovat, Ostrava, Czech Republic
来源
2015 INTERNATIONAL CONFERENCE ON INFORMATION AND DIGITAL TECHNOLOGIES (IDT) | 2015年
关键词
comparison of surgical techniques; survival data modelling; risk evaluation; Weibull accelerated failure time model; LAPAROSCOPIC RESECTION; COLON-CANCER; METAANALYSIS; COLECTOMY; OUTCOMES;
D O I
暂无
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
The most common type of cancer in the Czech Republic is the cancer of the colon or rectum. Currently two basic surgical techniques are used for the resection of colon due to colon cancer: either classical (open) or laparoscopic operation. This article provides the analysis of medical data of 524 patients who underwent the surgical resection of colon in the University Hospital in Ostrava during the years 2001-2012 in order to: 1) compare different types of surgical techniques for finding the one which guarantees longer overall survival time and 2) estimate the influence of other patient's characteristics on mortality risk The fully parametric Weibull accelerated failure time model was used to answer these questions.
引用
收藏
页码:120 / 127
页数:8
相关论文
共 50 条
  • [31] Assessing Risk of Critical Care Complications and Mortality in the Elective Bariatric Surgery Population Using a Modified Frailty Index
    Kolbe, Nina
    Carlin, Arthur M.
    Bakey, Stephanie
    Louwers, Lisa
    Horst, H. Mathilda
    Rubinfeld, Ilan
    OBESITY SURGERY, 2015, 25 (08) : 1401 - 1407
  • [32] A Model to Predict Treatment Failure in Patients Undergoing Upfront Surgery for Resectable Colorectal Liver Metastases
    Berardi, Giammauro
    Chou, Joanne
    Gonen, Mithat
    Balachandran, Vinod P.
    Drebin, Jeffrey
    Jarnagin, William R.
    Kingham, T. Peter
    Soares, Kevin C.
    Wei, Alice
    D'Angelica, Michael
    ANNALS OF SURGICAL ONCOLOGY, 2023, 30 (05) : 2820 - 2827
  • [33] Bayesian risk prediction model for colorectal cancer mortality through integration of clinicopathologic and genomic data
    Zhao, Melissa
    Lau, Mai Chan
    Haruki, Koichiro
    Vayrynen, Juha P.
    Gurjao, Carino
    Vayrynen, Sara A.
    Dias Costa, Andressa
    Borowsky, Jennifer
    Fujiyoshi, Kenji
    Arima, Kota
    Hamada, Tsuyoshi
    Lennerz, Jochen K.
    Fuchs, Charles S.
    Nishihara, Reiko
    Chan, Andrew T.
    Ng, Kimmie
    Zhang, Xuehong
    Meyerhardt, Jeffrey A.
    Song, Mingyang
    Wang, Molin
    Giannakis, Marios
    Nowak, Jonathan A.
    Yu, Kun-Hsing
    Ugai, Tomotaka
    Ogino, Shuji
    NPJ PRECISION ONCOLOGY, 2023, 7 (01)
  • [34] Morbidity and Mortality Following Colorectal Surgery in Patients With End-Stage Renal Failure: A Population-Based Study
    Drolet, Sebastien
    Maclean, Anthony R.
    Myers, Robert P.
    Shaheen, Abdel Aziz M.
    Dixon, Elijah
    Buie, W. Donald
    DISEASES OF THE COLON & RECTUM, 2010, 53 (11) : 1508 - 1516
  • [35] Correcting for measurement error in fractional polynomial models using Bayesian modelling and regression calibration, with an application to alcohol and mortality
    Gray, Christen M.
    Carroll, Raymond J.
    Lentjes, Marleen A. H.
    Keogh, Ruth H.
    BIOMETRICAL JOURNAL, 2019, 61 (03) : 558 - 573
  • [36] Comparison of machine learning and the regression-based EHMRG model for predicting early mortality in acute heart failure
    Austin, David E.
    Lee, Douglas S.
    Wang, Chloe X.
    Ma, Shihao
    Wang, Xuesong
    Porter, Joan
    Wang, Bo
    INTERNATIONAL JOURNAL OF CARDIOLOGY, 2022, 365 : 78 - 84
  • [37] Risk model for morbidity and mortality following liver surgery based on a national Japanese database
    Orimo, Tatsuya
    Hirakawa, Shinya
    Taketomi, Akinobu
    Tachimori, Hisateru
    Oshikiri, Taro
    Miyata, Hiroaki
    Kakeji, Yoshihiro
    Shirabe, Ken
    ANNALS OF GASTROENTEROLOGICAL SURGERY, 2024, 8 (05): : 896 - 916
  • [38] Institutional case volume-incorporated mortality risk prediction model for cardiac surgery
    Lee, Seohee
    Jang, Eun Jin
    Jo, Junwoo
    Park, Dongnyeok
    Ryu, Ho Geol
    ASIAN JOURNAL OF SURGERY, 2022, 45 (01) : 189 - 196
  • [39] A New Risk Score for Predicting Postoperative Mortality in Suspected Heart Failure Patients Undergoing Valvular Surgery
    Lin, Hongyuan
    Gong, Jiamiao
    An, Kang
    Wu, Yongjian
    Zheng, Zhe
    Hou, Jianfeng
    REVIEWS IN CARDIOVASCULAR MEDICINE, 2023, 24 (02)
  • [40] Differences in open versus laparoscopic gastric bypass mortality risk using the Obesity Surgery Mortality Risk Score (OS-MRS)
    Brolin, Robert E.
    Cody, Ronald P.
    Marcella, Stephen W.
    SURGERY FOR OBESITY AND RELATED DISEASES, 2015, 11 (06) : 1201 - 1206