Research progress of clinical prediction model in postoperative complications of gastric cancer_CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Authors：

PENG Yiyun ¹ , YANG Guoyuan ¹ , HUANG Yalong ¹ ,  MA Yuntao ^1,2

1. The First Clinical School of Gansu University of Chinese Medicine, Lanzhou 730000, P. R. China;
2. General Surgery Clinical Medical Center, Gansu Provincial People’s Hospital, Lanzhou 730000, P. R. China;

Corresponding?author：

MA Yuntao, Email: 3575515665@qq.com

Keywords：

gastric cancer; postoperative complication; clinical prediction model

DOI：

10.7507/1007-9424.202312020

Video：

Export PDF Favorites Scan Get Citation

Abstract Full text Figures/Tables Video References Cited by

Objective To summarise the application research progress of clinical prediction models in postoperative complications of gastric cancer, in order to reduce the risk of complications after gastric cancer surgery. Method The literature on the study of postoperative complications of gastric cancer at home and abroad was read and reviewed. Results At present, the main way of treating gastric cancer was still radical resection, and the occurrence of complications after surgical treatment seriously affected the recovery and survival quality of patients. With the deepening of research, the prediction models of postoperative complications in gastric cancer were constantly constructed, and these models provided strong evidence for the early judgement of postoperative complications in gastric cancer, and provided a scientific basis for the improvement of patients’ life quality. Conclusion Clinical predictive models are expected to become risk screening tools for predicting the risk of postoperative complications of gastric cancer with clinical utility.

Citation： PENG Yiyun, YANG Guoyuan, HUANG Yalong, MA Yuntao. Research progress of clinical prediction model in postoperative complications of gastric cancer. CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY, 2024, 31(5): 619-624. doi: 10.7507/1007-9424.202312020 Copy

1.	Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2021, 71(3): 209-249.
2.	Muszyński T, Polak K, Fr?tczak A, et al. Vitamin D-the nutritional status of post-gastrectomy gastric cancer patients-systematic review. Nutrients, 2022, 14(13): 2712. doi: 10.3390/nu14132712.
3.	Zizzo M, Zanelli M, Sanguedolce F, et al. Robotic versus laparoscopic gastrectomy for gastric cancer: An updated systematic review. Medicina (Kaunas), 2022, 58(6): 834. doi: 10.3390/medicina58060834.
4.	Wang Y, Zhang L, Yang Y, et al. Progress of gastric cancer surgery in the era of precision medicine. Int J Biol Sci, 2021, 17(4): 1041-1049.
5.	Liu F, Huang C, Xu Z, et al. Morbidity and mortality of laparoscopic vs open total gastrectomy for clinical stageⅠgastric cancer: the CLASS02 multicenter randomized clinical trial. JAMA Oncol, 2020, 6(10): 1590-1597.
6.	Tokunaga M, Kurokawa Y, Machida R, et al. Impact of postoperative complications on survival outcomes in patients with gastric cancer: exploratory analysis of a randomized controlled JCOG1001 trial. Gastric Cancer, 2021, 24(1): 214-223.
7.	Au EH, Francis A, Bernier-Jean A, et al. Prediction modeling-part 1: regression modeling. Kidney Int, 2020, 97(5): 877-884.
8.	史可為, 吳亞飛, 方亞. 臨床預測模型的可解釋性及應用進展. 現代預防醫學, 2023, 50(6): 1122-1127.
9.	王磊, 韓暉瓊, 秦艷茹. 基于SEER數據庫的轉移性結腸癌患者早期死亡預測列線圖模型構建. 腫瘤防治研究, 2023, 50(2): 126-131.
10.	張秀強, 楊濤. 基于列線圖模型對肺癌胸腔鏡術后并發肺部感染的臨床預測. 腫瘤防治研究, 2023, 50(1): 52-57.
11.	Seidelman J, Anderson DJ. Surgical site infections. Infect Dis Clin North Am, 2021, 35(4): 901-929.
12.	Seidelman JL, Mantyh CR, Anderson DJ. Surgical site infection prevention: a review. JAMA, 2023, 329(3): 244-252.
13.	Tu RH, Huang CM, Lin JX, et al. A scoring system to predict the risk of organ/space surgical site infections after laparoscopic gastrectomy for gastric cancer based on a large-scale retrospective study. Surg Endosc, 2016, 30(7): 3026-3034.
14.	羅進, 燕速, 邢多, 等. 胃癌根治術術后手術部位感染的危險因素分析及預測模型的建立. 中國消毒學雜志, 2022, 39(1): 47-49.
15.	Kim YI, Lee JY, Khalayleh H, et al. Efficacy of endoscopic management for anastomotic leakage after gastrectomy in patients with gastric cancer. Surg Endosc, 2022, 36(5): 2896-2905.
16.	Bracale U, Peltrini R, De Luca M, et al. Predictive factors for anastomotic leakage after laparoscopic and open total gastrectomy: a systematic review. J Clin Med, 2022, 11(17): 5022. doi: 10.3390/jcm11175022.
17.	Shi J, Wu Z, Wu X, et al. Early diagnosis of anastomotic leakage after gastric cancer surgery via analysis of inflammatory factors in abdominal drainage. Ann Surg Oncol, 2022, 29(2): 1230-1241.
18.	Tu RH, Lin JX, Zheng CH, et al. Development of a nomogram for predicting the risk of anastomotic leakage after a gastrectomy for gastric cancer. Eur J Surg Oncol, 2017, 43(2): 485-492.
19.	Gu L, Zhang K, Shen Z, et al. Risk factors for duodenal stump leakage after laparoscopic gastrectomy for gastric cancer. J Gastric Cancer, 2020, 20(1): 81-94.
20.	舒旭峰. 腹腔鏡胃癌根治術后十二指腸殘端瘺危險因素分析及Nomogram預測模型建立. 南昌大學, 2022.
21.	Cho H, Tsuchida K, Iwasaki K, et al. Risk factors of post-operative pneumonia in elderly patients with gastric cancer: a retrospective cohort study. Jpn J Clin Oncol, 2021, 51(7): 1044-1050.
22.	Meng Y, Zhao P, Yong R. Modified frailty index independently predicts postoperative pulmonary infection in elderly patients undergoing radical gastrectomy for gastric cancer. Cancer Manag Res, 2021, 13: 9117-9126.
23.	Xiao H, Zhou H, Liu K, et al. Development and validation of a prognostic nomogram for predicting post-operative pulmonary infection in gastric cancer patients following radical gastrectomy. Sci Rep, 2019, 9(1): 14587. doi: 10.1038/s41598-019-51227-4.
24.	Yu Z, Zhao X, Qiu S, et al. Risk factor analysis of gastroparesis syndrome in 2 652 patients with radical distal gastrectomy. J Gastrointest Surg, 2023, 27(8): 1568-1577.
25.	Cai Z, Lin H, Li Z, et al. A prediction nomogram for postoperative gastroparesis syndrome in right colon cancer: a retrospective study. Langenbecks Arch Surg, 2023, 408(1): 148. doi: 10.1007/s00423-023-02885-6.
26.	Mao C, Liu X, Huang Y, et al. Preoperative blood glucose level predicts postsurgical gastroparesis syndrome after subtotal gastrectomy: development of an individualized usable nomogram. J Diabetes Res, 2020, 2020: 7058145. doi: 10.1155/2020/7058145.
27.	Xiao Y, Hao X, Yang Q, et al. Effect of Billroth-Ⅱ versus Roux-en-Y reconstruction for gastrojejunostomy after pancreaticoduodenectomy on delayed gastric emptying: a meta-analysis of randomized controlled trials. J Hepatobiliary Pancreat Sci, 2021, 28(5): 397-408.
28.	Navas CM, Patel NK, Lacy BE. Gastroparesis: medical and therapeutic advances. Dig Dis Sci, 2017, 62(9): 2231-2240.
29.	杜耀, 張江南, 李衛平, 等. 遠端胃癌根治性切除術后PGS發生的危險因素及風險預測模型的建立和評價. 山東醫藥, 2018, 58(28): 74-77.
30.	Wells CI, Milne TGE, Seo SHB, et al. Post-operative ileus: definitions, mechanisms and controversies. ANZ J Surg, 2022, 92(1-2): 62-68.
31.	Shereef A, Raftery D, Sneddon F, et al. Prolonged ileus after colorectal surgery, a systematic review. J Clin Med, 2023, 12(18): 5769. doi: 10.3390/jcm12185769.
32.	Lin Z, Li Y, Wu J, et al. Nomogram for prediction of prolonged postoperative ileus after colorectal resection. BMC Cancer, 2022, 22(1): 1273. doi: 10.1186/s12885-022-10377-x.
33.	Kim Y, Kim YM, Kim JH, et al. Peri-operative inflammatory marker as a predictive factor for prolonged post-operative ileus after gastrectomy for gastric cancer. J Neurogastroenterol Motil, 2021, 27(4): 588-595.
34.	Seo SHB, Carson DA, Bhat S, et al. Prolonged postoperative ileus following right- versus left-sided colectomy: a systematic review and meta-analysis. Colorectal Dis, 2021, 23(12): 3113-3122.
35.	Liang WQ, Zhang KC, Cui JX, et al. Nomogram to predict prolonged postoperative ileus after gastrectomy in gastric cancer. World J Gastroenterol, 2019, 25(38): 5838-5849.
36.	Liu H, Liu J, Xu W, et al. Prophylactic cholecystectomy: a valuable treatment strategy for cholecystolithiasis after gastric cancer surgery. Front Oncol, 2022, 2: 897853. doi: 10.3389/fonc.2022.897853.
37.	Ikegame K, Hikage M, Fujiya K, et al. The effect of minimally invasive gastrectomy for gastric cancer on postoperative gallstone formation. World J Surg, 2021, 45(11): 3378-3385.
38.	劉杰. 胃癌術后膽囊結石形成臨床預測模型的建立與驗證及預防性膽囊切除的臨床價值研究. 蘭州大學, 2021.
39.	Lee HH, Park JM, Song KY, et al. Survival impact of postoperative body mass index in gastric cancer patients undergoing gastrectomy. Eur J Cancer, 2016, 52: 129-137.
40.	Nuzzo A, Czernichow S, Hertig A, et al. Prevention and treatment of nutritional complications after bariatric surgery. Lancet Gastroenterol Hepatol, 2021, 6(3): 238-251.
41.	Wang HM, Wang TJ, Huang CS, et al. Nutritional status and related factors in patients with gastric cancer after gastrectomy: a cross-sectional study. Nutrients, 2022, 14(13): 2634. doi: 10.3390/nu14132634.
42.	Park JH, Kim E, Seol EM, et al. Prediction model for screening patients at risk of malnutrition after gastric cancer surgery. Ann Surg Oncol, 2021, 28(8): 4471-4481.
43.	楊眉, 余家密, 林雅, 等. 胃癌術后營養不良風險預測模型的構建及驗證. 中國現代醫藥雜志, 2021, 23(8): 11-14.

1. Sung H, Ferlay J, Siegel RL, et al. Global cancer statistics 2020: GLOBOCAN estimates of incidence and mortality worldwide for 36 cancers in 185 countries. CA Cancer J Clin, 2021, 71(3): 209-249.
2. Muszyński T, Polak K, Fr?tczak A, et al. Vitamin D-the nutritional status of post-gastrectomy gastric cancer patients-systematic review. Nutrients, 2022, 14(13): 2712. doi: 10.3390/nu14132712.
3. Zizzo M, Zanelli M, Sanguedolce F, et al. Robotic versus laparoscopic gastrectomy for gastric cancer: An updated systematic review. Medicina (Kaunas), 2022, 58(6): 834. doi: 10.3390/medicina58060834.
4. Wang Y, Zhang L, Yang Y, et al. Progress of gastric cancer surgery in the era of precision medicine. Int J Biol Sci, 2021, 17(4): 1041-1049.
5. Liu F, Huang C, Xu Z, et al. Morbidity and mortality of laparoscopic vs open total gastrectomy for clinical stageⅠgastric cancer: the CLASS02 multicenter randomized clinical trial. JAMA Oncol, 2020, 6(10): 1590-1597.
6. Tokunaga M, Kurokawa Y, Machida R, et al. Impact of postoperative complications on survival outcomes in patients with gastric cancer: exploratory analysis of a randomized controlled JCOG1001 trial. Gastric Cancer, 2021, 24(1): 214-223.
7. Au EH, Francis A, Bernier-Jean A, et al. Prediction modeling-part 1: regression modeling. Kidney Int, 2020, 97(5): 877-884.
8. 史可為, 吳亞飛, 方亞. 臨床預測模型的可解釋性及應用進展. 現代預防醫學, 2023, 50(6): 1122-1127.
9. 王磊, 韓暉瓊, 秦艷茹. 基于SEER數據庫的轉移性結腸癌患者早期死亡預測列線圖模型構建. 腫瘤防治研究, 2023, 50(2): 126-131.
10. 張秀強, 楊濤. 基于列線圖模型對肺癌胸腔鏡術后并發肺部感染的臨床預測. 腫瘤防治研究, 2023, 50(1): 52-57.
11. Seidelman J, Anderson DJ. Surgical site infections. Infect Dis Clin North Am, 2021, 35(4): 901-929.
12. Seidelman JL, Mantyh CR, Anderson DJ. Surgical site infection prevention: a review. JAMA, 2023, 329(3): 244-252.
13. Tu RH, Huang CM, Lin JX, et al. A scoring system to predict the risk of organ/space surgical site infections after laparoscopic gastrectomy for gastric cancer based on a large-scale retrospective study. Surg Endosc, 2016, 30(7): 3026-3034.
14. 羅進, 燕速, 邢多, 等. 胃癌根治術術后手術部位感染的危險因素分析及預測模型的建立. 中國消毒學雜志, 2022, 39(1): 47-49.
15. Kim YI, Lee JY, Khalayleh H, et al. Efficacy of endoscopic management for anastomotic leakage after gastrectomy in patients with gastric cancer. Surg Endosc, 2022, 36(5): 2896-2905.
16. Bracale U, Peltrini R, De Luca M, et al. Predictive factors for anastomotic leakage after laparoscopic and open total gastrectomy: a systematic review. J Clin Med, 2022, 11(17): 5022. doi: 10.3390/jcm11175022.
17. Shi J, Wu Z, Wu X, et al. Early diagnosis of anastomotic leakage after gastric cancer surgery via analysis of inflammatory factors in abdominal drainage. Ann Surg Oncol, 2022, 29(2): 1230-1241.
18. Tu RH, Lin JX, Zheng CH, et al. Development of a nomogram for predicting the risk of anastomotic leakage after a gastrectomy for gastric cancer. Eur J Surg Oncol, 2017, 43(2): 485-492.
19. Gu L, Zhang K, Shen Z, et al. Risk factors for duodenal stump leakage after laparoscopic gastrectomy for gastric cancer. J Gastric Cancer, 2020, 20(1): 81-94.
20. 舒旭峰. 腹腔鏡胃癌根治術后十二指腸殘端瘺危險因素分析及Nomogram預測模型建立. 南昌大學, 2022.
21. Cho H, Tsuchida K, Iwasaki K, et al. Risk factors of post-operative pneumonia in elderly patients with gastric cancer: a retrospective cohort study. Jpn J Clin Oncol, 2021, 51(7): 1044-1050.
22. Meng Y, Zhao P, Yong R. Modified frailty index independently predicts postoperative pulmonary infection in elderly patients undergoing radical gastrectomy for gastric cancer. Cancer Manag Res, 2021, 13: 9117-9126.
23. Xiao H, Zhou H, Liu K, et al. Development and validation of a prognostic nomogram for predicting post-operative pulmonary infection in gastric cancer patients following radical gastrectomy. Sci Rep, 2019, 9(1): 14587. doi: 10.1038/s41598-019-51227-4.
24. Yu Z, Zhao X, Qiu S, et al. Risk factor analysis of gastroparesis syndrome in 2 652 patients with radical distal gastrectomy. J Gastrointest Surg, 2023, 27(8): 1568-1577.
25. Cai Z, Lin H, Li Z, et al. A prediction nomogram for postoperative gastroparesis syndrome in right colon cancer: a retrospective study. Langenbecks Arch Surg, 2023, 408(1): 148. doi: 10.1007/s00423-023-02885-6.
26. Mao C, Liu X, Huang Y, et al. Preoperative blood glucose level predicts postsurgical gastroparesis syndrome after subtotal gastrectomy: development of an individualized usable nomogram. J Diabetes Res, 2020, 2020: 7058145. doi: 10.1155/2020/7058145.
27. Xiao Y, Hao X, Yang Q, et al. Effect of Billroth-Ⅱ versus Roux-en-Y reconstruction for gastrojejunostomy after pancreaticoduodenectomy on delayed gastric emptying: a meta-analysis of randomized controlled trials. J Hepatobiliary Pancreat Sci, 2021, 28(5): 397-408.
28. Navas CM, Patel NK, Lacy BE. Gastroparesis: medical and therapeutic advances. Dig Dis Sci, 2017, 62(9): 2231-2240.
29. 杜耀, 張江南, 李衛平, 等. 遠端胃癌根治性切除術后PGS發生的危險因素及風險預測模型的建立和評價. 山東醫藥, 2018, 58(28): 74-77.
30. Wells CI, Milne TGE, Seo SHB, et al. Post-operative ileus: definitions, mechanisms and controversies. ANZ J Surg, 2022, 92(1-2): 62-68.
31. Shereef A, Raftery D, Sneddon F, et al. Prolonged ileus after colorectal surgery, a systematic review. J Clin Med, 2023, 12(18): 5769. doi: 10.3390/jcm12185769.
32. Lin Z, Li Y, Wu J, et al. Nomogram for prediction of prolonged postoperative ileus after colorectal resection. BMC Cancer, 2022, 22(1): 1273. doi: 10.1186/s12885-022-10377-x.
33. Kim Y, Kim YM, Kim JH, et al. Peri-operative inflammatory marker as a predictive factor for prolonged post-operative ileus after gastrectomy for gastric cancer. J Neurogastroenterol Motil, 2021, 27(4): 588-595.
34. Seo SHB, Carson DA, Bhat S, et al. Prolonged postoperative ileus following right- versus left-sided colectomy: a systematic review and meta-analysis. Colorectal Dis, 2021, 23(12): 3113-3122.
35. Liang WQ, Zhang KC, Cui JX, et al. Nomogram to predict prolonged postoperative ileus after gastrectomy in gastric cancer. World J Gastroenterol, 2019, 25(38): 5838-5849.
36. Liu H, Liu J, Xu W, et al. Prophylactic cholecystectomy: a valuable treatment strategy for cholecystolithiasis after gastric cancer surgery. Front Oncol, 2022, 2: 897853. doi: 10.3389/fonc.2022.897853.
37. Ikegame K, Hikage M, Fujiya K, et al. The effect of minimally invasive gastrectomy for gastric cancer on postoperative gallstone formation. World J Surg, 2021, 45(11): 3378-3385.
38. 劉杰. 胃癌術后膽囊結石形成臨床預測模型的建立與驗證及預防性膽囊切除的臨床價值研究. 蘭州大學, 2021.
39. Lee HH, Park JM, Song KY, et al. Survival impact of postoperative body mass index in gastric cancer patients undergoing gastrectomy. Eur J Cancer, 2016, 52: 129-137.
40. Nuzzo A, Czernichow S, Hertig A, et al. Prevention and treatment of nutritional complications after bariatric surgery. Lancet Gastroenterol Hepatol, 2021, 6(3): 238-251.
41. Wang HM, Wang TJ, Huang CS, et al. Nutritional status and related factors in patients with gastric cancer after gastrectomy: a cross-sectional study. Nutrients, 2022, 14(13): 2634. doi: 10.3390/nu14132634.
42. Park JH, Kim E, Seol EM, et al. Prediction model for screening patients at risk of malnutrition after gastric cancer surgery. Ann Surg Oncol, 2021, 28(8): 4471-4481.
43. 楊眉, 余家密, 林雅, 等. 胃癌術后營養不良風險預測模型的構建及驗證. 中國現代醫藥雜志, 2021, 23(8): 11-14.

Previous Article
分化型甲狀腺癌術后并發霍納綜合征：2例報道
Next Article
Research progress on matrix metalloproteinases regulating development of hepatocellular carcinoma and its mechanisms

CHINESE JOURNAL OF BASES AND CLINICS IN GENERAL SURGERY

Research progress of clinical prediction model in postoperative complications of gastric cancer

Abstract Full text Figures/Tables Video References Cited by

Previous Article

Next Article

Format

Content