Combined application of inflammation-related biomarkers to predict postoperative complications of rectal cancer patients: a retrospective study by machine learning analysis

Author:

Wang Kunyue,Tang Youyuan,Zhang Feng,Guo Xingpo,Gao Ling

Funder

National Natural Science Foundation of China

Publisher

Springer Science and Business Media LLC

Subject

Surgery

Reference39 articles.

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4. Degiuli M, Elmore U, De Luca R, De Nardi P, Tomatis M, Biondi A, Persiani R, Solaini L, Rizzo G, Soriero D, Cianflocca D, Milone M, Turri G, Rega D, Delrio P, Pedrazzani C, De Palma GD, Borghi F, Scabini S, Coco C, Cavaliere D, Simone M, Rosati R, Reddavid R (2022) Risk factors for anastomotic leakage after anterior resection for rectal cancer (RALAR study): a nationwide retrospective study of the Italian Society of Surgical Oncology Colorectal Cancer Network Collaborative Group. Colorectal Dis 24(3):264–276. https://doi.org/10.1111/codi.15997

5. Zhou S, Zhou H, Zheng Z, Liang J, Zhou Z, Wang X (2019) Predictive risk factors for anastomotic leakage after anterior resection of rectal cancer in elderly patients over 80 years old: an analysis of 288 consecutive patients. World J Surg Oncol 17(1):112. https://doi.org/10.1186/s12957-019-1655-z

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