Predicting Colon Cancer-Specific Survival for the Asian Population Using National Cancer Registry Data from Taiwan-Reference-Cited by-同舟云学术

Predicting Colon Cancer-Specific Survival for the Asian Population Using National Cancer Registry Data from Taiwan

Published:2021-08-24 Issue:2 Volume:29 Page:853-863
ISSN:1068-9265
Container-title:Annals of Surgical Oncology
language:en
Short-container-title:Ann Surg Oncol

Author:

Chan Han-Ching,Huang Chi-Cheng,Huang Ching-Chieh,Chattopadhyay Amrita,Yeh Kuan-Hung,Lee Wen-Chung,Chiang Chun-Ju,Lee Hsin-Ying,Cheng Skye Hung-Chun,Lu Tzu-Pin^ORCID

Funder

Ministry of Health and Welfare

Ministry of Science and Technology, Taiwan

Publisher

Springer Science and Business Media LLC

Subject

Oncology,Surgery

Link

https://link.springer.com/content/pdf/10.1245/s10434-021-10646-2.pdf

Reference60 articles.

1. Gabriel E, Attwood K, Thirunavukarasu P, Al-Sukhni E, Boland P, Nurkin S. Predicting individualized postoperative survival for stage II/III colon cancer using a mobile application derived from the national cancer data base. J Am Coll Surg. 2016;222(3):232–44. https://doi.org/10.1016/j.jamcollsurg.2015.12.019

2. Hippisley-Cox J, Coupland C. Development and validation of risk prediction equations to estimate survival in patients with colorectal cancer: cohort study. BMJ. 2017;357:j2497. https://doi.org/10.1136/bmj.j2497.

3. Valentini V, van Stiphout RGPM, Lammering G, et al. Nomograms for predicting local recurrence, distant metastases, and overall survival for patients with locally advanced rectal cancer on the basis of European randomized clinical trials. J Clin Oncol. 2011;29(23):3163–72. https://doi.org/10.1200/JCO.2010.33.1595.

4. Honda M, Oba K, Akiyoshi T, et al. Development and validation of a prognostic nomogram for colorectal cancer after radical resection based on individual patient data from three large-scale phase III trials. Oncotarget. 2017;8(58):99150–60.

5. Holowatyj AN, Ruterbusch JJ, Rozek LS, Cote ML, Stoffel EM. Racial/ethnic disparities in survival among patients with young-onset colorectal cancer. J Clin Oncol. 2016;34(18):2148.

Cited by 6 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Management of obstructed colorectal carcinoma in an emergency setting: An update;World Journal of Gastrointestinal Oncology;2024-03-15

2. Variation in colorectal cancer treatment and outcomes in Scotland: real world evidence from national linked administrative health data;International Journal of Population Data Science;2024-02-20

3. Population-Based Prognostic Models for Head and Neck Cancers Using National Cancer Registry Data from Taiwan;Journal of Epidemiology and Global Health;2024-02-14

4. Screening History and 7-Year Survival in 32,099 Colorectal Cancer Patients: A Population-Based Cohort Study;Clinical Epidemiology;2023-10

5. A user-friendly objective prediction model in predicting colorectal cancer based on 234 044 Asian adults in a prospective cohort;ESMO Open;2021-12