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
  • [41] In vivo real-time assessment of the anastomotic blood supply in colorectal surgery using confocal laser endomicroscopy in an anastomotic model
    Liu, Xiumin
    Tang, Yuting
    Li, Zhiming
    Tan, Jie
    Zheng, Jixiang
    Feng, Mingyuan
    Wan, Jinliang
    Wang, Shijie
    Qiu, Kemao
    Ji, Hongli
    Yan, Jun
    SURGICAL ENDOSCOPY AND OTHER INTERVENTIONAL TECHNIQUES, 2022, 36 (06): : 4136 - 4144
  • [42] Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model
    Li, Jia
    Simon, Gyorgy
    Castro, M. Regina
    Kumar, Vipin
    Steinbach, Michael S.
    Caraballo, Pedro J.
    PLOS ONE, 2021, 16 (07):
  • [43] Development of a Novel Society of Thoracic Surgeons Aortic Surgery Mortality and Morbidity Risk Model
    Desai, Nimesh D.
    Vekstein, Andrew
    Grau-Sepulveda, Maria
    O'Brien, Sean M.
    Takayama, Hiroo
    Chen, Edward P.
    Hughes, G. Chad
    Bavaria, Joseph E.
    Shahian, David M.
    Ouzounian, Maral
    Roselli, Eric E.
    Jacobs, Jeffrey P.
    Badhwar, Vinay
    Habib, Robert H.
    Thourani, Vinod
    Bowdish, Michael E.
    Kim, Karen M.
    ANNALS OF THORACIC SURGERY, 2025, 119 (01) : 109 - 119
  • [44] The physiology of failure: Identifying risk factors for mortality in emergency general surgery patients using a regional health system integrated electronic medical record
    Baimas-George, Maria
    Ross, Samuel W.
    Hetherington, Timothy
    Kowalkowski, Marc
    Wang, Huaping
    Thompson, Kyle
    Cunningham, Kyle
    Matthews, Brent D.
    May, Addison K.
    Reinke, Caroline E.
    JOURNAL OF TRAUMA AND ACUTE CARE SURGERY, 2022, 93 (03) : 409 - 417
  • [45] Mortality and Readmissions After Heart Failure Hospitalization in a Community Based Cohort: Estimating Risk Using the Acute Decompensated Heart Failure National Registry (ADHERE) Classification and Regression Tree (CART) Algorithm
    Win, Sithu
    Hussain, Imad
    Hebl, Virginia
    Redfield, Margaret M.
    CIRCULATION, 2015, 132
  • [46] Risk Model of Valve Surgery in Japan Using the Japan Adult Cardiovascular Surgery Database
    Motomura, Noboru
    Miyata, Hiroaki
    Tsukihara, Hiroyuki
    Takamoto, Shinichi
    JOURNAL OF HEART VALVE DISEASE, 2010, 19 (06) : 684 - 691
  • [47] Validity of the CR-POSSUM model in surgery for colorectal cancer in Spain (CCR-CARESS study) and comparison with other models to predict operative mortality
    Bare, Marisa
    Jesus Alcantara, Manuel
    Jose Gil, Maria
    Collera, Pablo
    Pont, Marina
    Escobar, Antonio
    Sarasqueta, Cristina
    Redondo, Maximino
    Briones, Eduardo
    Dujovne, Paula
    Maria Quintana, Jose
    BMC HEALTH SERVICES RESEARCH, 2018, 18
  • [48] Assessment of Risk Factors for Early Seizures Following Surgery for Meningiomas Using Logistic Regression Analysis
    Zhang, B.
    Zhao, G.
    Yang, H-F
    Wang, D.
    Yu, J-L
    Huang, H-Y
    JOURNAL OF INTERNATIONAL MEDICAL RESEARCH, 2011, 39 (05) : 1728 - 1735
  • [49] Risk of acute renal failure and mortality after surgery for a fracture of the hip A POPULATION-BASED COHORT STUDY
    Pedersen, A. B.
    Christiansen, C. F.
    Gammelager, H.
    Kahlert, J.
    Sorensen, H. T.
    BONE & JOINT JOURNAL, 2016, 98B (08) : 1112 - 1118
  • [50] Predicting emergency department visits and hospitalizations for patients with heart failure in home healthcare using a time series risk model
    Chae, Sena
    Davoudi, Anahita
    Song, Jiyoun
    Evans, Lauren
    Hobensack, Mollie
    Bowles, Kathryn H.
    McDonald, Margaret, V
    Barron, Yolanda
    Rossetti, Sarah Collins
    Cato, Kenrick
    Sridharan, Sridevi
    Topaz, Maxim
    JOURNAL OF THE AMERICAN MEDICAL INFORMATICS ASSOCIATION, 2023, 30 (10) : 1622 - 1633