Developing prediction models for short-term mortality after surgery for colorectal cancer using a Danish national quality assurance database-Reference-Cited by-同舟云学术

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Developing prediction models for short-term mortality after surgery for colorectal cancer using a Danish national quality assurance database

Published:2022-07-18 Issue:8 Volume:37 Page:1835-1843
ISSN:1432-1262
Container-title:International Journal of Colorectal Disease
language:en
Short-container-title:Int J Colorectal Dis

Author:

Bräuner Karoline B.,Rosen Andreas W.,Tsouchnika Adamantia,Walbech Julie S.,Gögenur Mikail,Lin Viviane A.,Clausen Johan S. R.,Gögenur Ismail

Publisher

Springer Science and Business Media LLC

Subject

Gastroenterology

Link

https://link.springer.com/content/pdf/10.1007/s00384-022-04207-6.pdf

Reference29 articles.

1. Center MM, Jemal A, Smith RA, Ward E (2010) Worldwide variations in colorectal cancer. Dis Colon Rectum 53:1099. https://doi.org/10.1007/DCR.0b013e3181d60a51

2. Bojesen RD, Degett TH, Dalton SO, Gögenur I (2021) High World Heath Organization performance status is associated with short and long-term outcomes after colorectal cancer surgery. Dis Colon Rectum 58–66. https://doi.org/10.1097/DCR.0000000000001982

3. Bojesen RD, Jørgensen LB, Grube C, Skou ST, Johansen C, Dalton SO et al (2022) Fit for surgery — feasibility of short-course multimodal individualized prehabilitation in high-risk frail colon cancer patients prior to surgery. Pilot Feasibility Stud 1–13. https://doi.org/10.1186/s40814-022-00967-8

4. Palmer G, Martling A, Cedermark B, Holm T (2011) Preoperative tumour staging with multidisciplinary team assessment improves the outcome in locally advanced primary rectal cancer. Colorectal Dis 1361–9. https://doi.org/10.1111/j.1463-1318.2010.02460.x

5. Rosander E, Holm T, Sjövall A, Hjern F, Weibull CE, Nordenvall C (2021) Preoperative multidisciplinary team assessment is associated with improved survival in patients with locally advanced colon cancer; a nationwide cohort study in 3157 patients. Eur J Surg Oncol 47:2398–2404. https://doi.org/10.1016/j.ejso.2021.05.008

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1. Machine learning improves prediction of postoperative outcomes after gastrointestinal surgery: a systematic review and meta-analysis;Journal of Gastrointestinal Surgery;2024-06

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

3. A review of the utility of prognostic tools in predicting 6‐month mortality in cancer patients, conducted in the context of voluntary assisted dying;Internal Medicine Journal;2023-05-08

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