scholarly journals A novel prognostic prediction model for recurrence in patients with stage�II colon cancer after curative resection

Author(s):  
Kazuhiro Saso ◽  
Norikatsu Myoshi ◽  
Shiki Fujino ◽  
Yuya Takenaka ◽  
Yusuke Takahashi ◽  
...  
2018 ◽  
Vol 36 (15_suppl) ◽  
pp. e15615-e15615
Author(s):  
Kazuhiro Saso ◽  
Norikatsu Miyoshi ◽  
Shiki Fujino ◽  
Yusuke Takahashi ◽  
Junichi Nishimura ◽  
...  

Surgery Today ◽  
2019 ◽  
Vol 50 (4) ◽  
pp. 389-395
Author(s):  
Yuya Takenaka ◽  
Norikatsu Miyoshi ◽  
Shiki Fujino ◽  
Yusuke Takahashi ◽  
Junichi Nishimura ◽  
...  

2011 ◽  
Vol 104 (1) ◽  
pp. 45-52 ◽  
Author(s):  
Harunobu Sato ◽  
Koutarou Maeda ◽  
Kenichi Sugihara ◽  
Hidetaka Mochizuki ◽  
Kenjiro Kotake ◽  
...  

2020 ◽  
Vol 31 ◽  
pp. S417
Author(s):  
H. Ohge ◽  
S. Sadahiro ◽  
K. Sakamoto ◽  
T. Tsuchiya ◽  
T. Takahashi ◽  
...  

Oncotarget ◽  
2017 ◽  
Vol 9 (2) ◽  
pp. 2553-2564 ◽  
Author(s):  
Seiichi Shinji ◽  
Yoshibumi Ueda ◽  
Takeshi Yamada ◽  
Michihiro Koizumi ◽  
Yasuyuki Yokoyama ◽  
...  

2019 ◽  
Vol 90 ◽  
pp. 70-79
Author(s):  
Matthew J. Cecchini ◽  
Joanna C. Walsh ◽  
Jeremy Parfitt ◽  
Subrata Chakrabarti ◽  
Rohann J. Correa ◽  
...  

BMC Cancer ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Zhihao Lv ◽  
Yuqi Liang ◽  
Huaxi Liu ◽  
Delong Mo

Abstract Background It remains controversial whether patients with Stage II colon cancer would benefit from chemotherapy after radical surgery. This study aims to assess the real effectiveness of chemotherapy in patients with stage II colon cancer undergoing radical surgery and to construct survival prediction models to predict the survival benefits of chemotherapy. Methods Data for stage II colon cancer patients with radical surgery were retrieved from the Surveillance, Epidemiology, and End Results (SEER) database. Propensity score matching (1:1) was performed according to receive or not receive chemotherapy. Competitive risk regression models were used to assess colon cancer cause-specific death (CSD) and non-colon cancer cause-specific death (NCSD). Survival prediction nomograms were constructed to predict overall survival (OS) and colon cancer cause-specific survival (CSS). The predictive abilities of the constructed models were evaluated by the concordance indexes (C-indexes) and calibration curves. Results A total of 25,110 patients were identified, 21.7% received chemotherapy, and 78.3% were without chemotherapy. A total of 10,916 patients were extracted after propensity score matching. The estimated 3-year overall survival rates of chemotherapy were 0.7% higher than non- chemotherapy. The estimated 5-year and 10-year overall survival rates of non-chemotherapy were 1.3 and 2.1% higher than chemotherapy, respectively. Survival prediction models showed good discrimination (the C-indexes between 0.582 and 0.757) and excellent calibration. Conclusions Chemotherapy improves the short-term (43 months) survival benefit of stage II colon cancer patients who received radical surgery. Survival prediction models can be used to predict OS and CSS of patients receiving chemotherapy as well as OS and CSS of patients not receiving chemotherapy and to make individualized treatment recommendations for stage II colon cancer patients who received radical surgery.


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