Predicting postoperative mortality after colorectal surgery: a novel clinical model-Reference-Cited by-同舟云学术

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Predicting postoperative mortality after colorectal surgery: a novel clinical model

Published:2014-07-17 Issue:8 Volume:16 Page:631-639
ISSN:1462-8910
Container-title:Colorectal Disease
language:en
Short-container-title:Colorectal Dis

Author:

van der Sluis F. J.¹,Espin E.²,Vallribera F.²,de Bock G. H.³,Hoekstra H. J.¹,van Leeuwen B. L.¹,Engel A. F.⁴⁵

Affiliation:

1. Department of Surgical Oncology; University of Groningen; University Medical Center Groningen; Groningen The Netherlands

2. Department of Colorectal Surgery; Hospital Universitari Vall d'Hebron; Universitat Autonoma de Barcelona; Barcelona Spain

3. Department of Epidemiology; University of Groningen; University Medical Center Groningen; Groningen The Netherlands

4. Department of Surgery; Zaandam Medical Centre; Zaandam The Netherlands

5. Royal North Shore Hospital; Sydney New South Wales Australia

Publisher

Wiley

Subject

Gastroenterology

Reference44 articles.

1. Centralization of rectal cancer surgery improves long-term survival;Khani;Colorectal Dis,2009

2. Audit of colorectal cancer surgery by non-specialist surgeons;Singh;Br J Surg,1997

3. Development of a dedicated risk-adjustment scoring system for colorectal surgery (colorectal POSSUM);Tekkis;Br J Surg,2004

4. Complications, failure to rescue, and mortality with major inpatient surgery in medicare patients;Ghaferi;Ann Surg,2009

5. An easy-to-use solution for clinical audit in colorectal cancer surgery;Ugolini;Surgery,2009

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1. More than 30 Years of POSSUM: Are Scoring Systems Still Relevant Today for Colorectal Surgery?;Journal of Clinical Medicine;2023-12-28

2. Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai medical database;Heliyon;2023-09

3. Estimating postoperative mortality in colorectal surgery- a systematic review of risk prediction models;International Journal of Colorectal Disease;2023-06-01

4. Machine learning-based prediction of postoperative mortality in emergency colorectal surgery: A retrospective, multicenter cohort study using Tokushukai Medical Database;2023-05-19

5. Risk Assessment Model for Complications in Minimally Invasive Hysterectomy: A Pilot Study;International Journal of Environmental Research and Public Health;2022-12-23

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