| 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 |
Zhina Mohamadi, Ahmad Shafizadeh, Yasaman Aliyan, Seyedeh Fatemeh Shayesteh, Parsa Goudarzi, Alireza Khodabandeh, Amirali Vaghari, Helma Ashrafi, Omid Bahrami, Armin ZarinKhat, Yalda Khodabandeh, Kimia Pouyan. The application of random forest-based models in prognostication of gastrointestinal tract malignancies: a systematic review. Frontiers in Artificial Intelligence 2025; 8 doi: 10.3389/frai.2025.1517670
|
| 2 |
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 Resection. Cancers 2025; 17(6) doi: 10.3390/cancers17061051
|
| 3 |
Fabián Andrés Veintimilla Paladines, Marilyn Denise Guevara Acurio, María José Macanchí Santín, Camila Zarahi Pardo Jaramillo, Xiomara Belen Ramos Morales, Amán Sánchez Carlos Daniel. Factores de riesgo asociados a fuga anastomótica en cirugía colorrectal: revisión sistemática y síntesis de la evidencia reciente. Revista Multidisciplinar Epistemología de las Ciencias 2026; 3(2) doi: 10.71112/agy1fk25
|
| 4 |
Ze-Liang Zhao, Yi Chen, Zhi-Min Wu, Yi-Peng Pan, Rexida Jiapaer, Chang-Yong Wang, Maitisaidi Awula, Paerhati Shayimu. Serum nutritional predictive biomarkers and risk assessment for anastomotic leakage after laparoscopic surgery in rectal cancer patients. World Journal of Gastrointestinal Surgery 2024; 16(10): 3142-3154 doi: 10.4240/wjgs.v16.i10.3142
|
| 5 |
Qianbiao Gu, Yan Xing, Xiaoli Hu, Jiankang Yang, Yong Chen, Yaqiong He, Peng Liu. Interpretable Prognostic Modeling for Postoperative Pancreatic Cancer Using Multi-machine Learning and Habitat Radiomics: A Multi-center Study. Academic Radiology 2025; 32(9) doi: 10.1016/j.acra.2025.04.025
|