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Cited by in CrossRef
For: Li HY, Zhou JT, Wang YN, Zhang N, Wu SF. Establishment and application of three predictive models of anastomotic leakage after rectal cancer sphincter-preserving surgery. World J Gastrointest Surg 2023; 15(10): 2201-2210 [PMID: 37969722 DOI: 10.4240/wjgs.v15.i10.2201]
URL: https://www.wjgnet.com/1948-9366/full/v15/i10/2201.htm
Number Citing Articles
1
Ritch T. J. Geitenbeek, Simon C. Baltus, Mark Broekman, Sander N. Barendsen, Maike C. Frieben, Ilias Asaggau, Elina Thibeau-Sutre, Jelmer M. Wolterink, Matthijs C. Vermeulen, Can O. Tan, Ivo A. M. J. Broeders, Esther C. J. Consten. Multi-Modal Machine Learning for Evaluating the Predictive Value of Pelvimetric Measurements (Pelvimetry) for Anastomotic Leakage After Restorative Low Anterior ResectionCancers 2025; 17(6): 1051 doi: 10.3390/cancers17061051
2
Paerhati Shayimu, Maitisaidi Awula, Chang-Yong Wang, Rexida Jiapaer, Yi-Peng Pan, Zhi-Min Wu, Yi Chen, Ze-Liang Zhao. Serum nutritional predictive biomarkers and risk assessment for anastomotic leakage after laparoscopic surgery in rectal cancer patientsWorld Journal of Gastrointestinal Surgery 2024; 16(10): 3142-3154 doi: 10.4240/wjgs.v16.i10.3142