212 related articles for article (PubMed ID: 26813594)
1. [Value of E-PASS and mE-PASS in predicting morbidity and mortality of gastric cancer surgery].
Liu N; Cui J; Zhang Z; Zhao Z; Li W; Fu W
Zhonghua Zhong Liu Za Zhi; 2015 Oct; 37(10):753-8. PubMed ID: 26813594
[TBL] [Abstract][Full Text] [Related]
2. Estimation of Physiologic Ability and Surgical Stress (E-PASS) versus modified E-PASS for prediction of postoperative complications in elderly patients who undergo gastrectomy for gastric cancer.
Kitano Y; Iwatsuki M; Kurashige J; Kuroda D; Kosumi K; Baba Y; Sakamoto Y; Miyamoto Y; Yoshida N; Haga Y; Baba H
Int J Clin Oncol; 2017 Feb; 22(1):80-87. PubMed ID: 27518251
[TBL] [Abstract][Full Text] [Related]
3. External Validation of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) Risk Model to Predict Operative Risk in Perihilar Cholangiocarcinoma.
Coelen RJ; Olthof PB; van Dieren S; Besselink MG; Busch OR; van Gulik TM
JAMA Surg; 2016 Dec; 151(12):1132-1138. PubMed ID: 27579510
[TBL] [Abstract][Full Text] [Related]
4. [Value of PUSSOM and P-POSSUM for the prediction of surgical operative risk in patients undergoing pancreaticoduodenectomy for periampullary tumors].
Chen Y; Chu Y; Che X; Lan Z; Zhang J; Wang C
Zhonghua Zhong Liu Za Zhi; 2015 Jun; 37(6):461-5. PubMed ID: 26463152
[TBL] [Abstract][Full Text] [Related]
5. E-PASS score as a useful predictor of postoperative complications and mortality after colorectal surgery in elderly patients.
Tominaga T; Takeshita H; Takagi K; Kunizaki M; To K; Abo T; Hidaka S; Nanashima A; Nagayasu T; Sawai T
Int J Colorectal Dis; 2016 Feb; 31(2):217-25. PubMed ID: 26607908
[TBL] [Abstract][Full Text] [Related]
6. Predictive value of E-PASS and POSSUM systems for postoperative risk assessment of spinal surgery.
Hirose J; Taniwaki T; Fujimoto T; Okada T; Nakamura T; Okamoto N; Usuku K; Mizuta H
J Neurosurg Spine; 2014 Jan; 20(1):75-82. PubMed ID: 24206035
[TBL] [Abstract][Full Text] [Related]
7. Evaluation of different scoring systems in the prediction of complications, morbidity, and mortality after laparoscopic radical gastrectomy.
He H; Liu Y; Liu X; Zhang Z; Wang D; Fu W
World J Surg Oncol; 2023 Dec; 21(1):388. PubMed ID: 38110969
[TBL] [Abstract][Full Text] [Related]
8. Evaluation of the POSSUM, p-POSSUM, o-POSSUM, and APACHE II scoring systems in predicting postoperative mortality and morbidity in gastric cancer patients.
Hong S; Wang S; Xu G; Liu J
Asian J Surg; 2017 Apr; 40(2):89-94. PubMed ID: 26420667
[TBL] [Abstract][Full Text] [Related]
9. Feasibility of a Modified E-PASS and POSSUM System for Postoperative Risk Assessment in Patients with Spinal Disease.
Chun DH; Kim DY; Choi SK; Shin DA; Ha Y; Kim KN; Yoon DH; Yi S
World Neurosurg; 2018 Apr; 112():e95-e102. PubMed ID: 29277590
[TBL] [Abstract][Full Text] [Related]
10. Evaluation of modified Estimation of Physiologic Ability and Surgical Stress in gastric carcinoma surgery.
Haga Y; Wada Y; Takeuchi H; Ikejiri K; Ikenaga M; Kimura O
Gastric Cancer; 2012 Jan; 15(1):7-14. PubMed ID: 21538017
[TBL] [Abstract][Full Text] [Related]
11. Value of general surgical risk models for predicting postoperative morbidity and mortality in pancreatic resections for pancreatobiliary carcinomas.
Haga Y; Wada Y; Saitoh T; Takeuchi H; Ikejiri K; Ikenaga M
J Hepatobiliary Pancreat Sci; 2014 Aug; 21(8):599-606. PubMed ID: 24648305
[TBL] [Abstract][Full Text] [Related]
12. Evaluation of the POSSUM, P-POSSUM and E-PASS scores in the surgical treatment of hilar cholangiocarcinoma.
Wang H; Wang H; Chen T; Liang X; Song Y; Wang J
World J Surg Oncol; 2014 Jun; 12():191. PubMed ID: 24961847
[TBL] [Abstract][Full Text] [Related]
13. E-PASS comprehensive risk score is a good predictor of postsurgical mortality from comorbid disease in elderly gastric cancer patients.
Ariake K; Ueno T; Takahashi M; Goto S; Sato S; Akada M; Naito H
J Surg Oncol; 2014 May; 109(6):586-92. PubMed ID: 24374857
[TBL] [Abstract][Full Text] [Related]
14. Validation of the Estimation of Physiologic Ability and Surgical Stress (E-PASS) score for maintenance hemodialysis patients undergoing elective abdominal surgery.
Abe H; Mafune K; Minamimura K; Hirata T
Dig Surg; 2014; 31(4-5):269-75. PubMed ID: 25322745
[TBL] [Abstract][Full Text] [Related]
15. Evaluation of estimation of physiologic ability and surgical stress to predict in-hospital mortality in cardiac surgery.
Kotera A; Haga Y; Kei J; Okamoto M; Seo K
J Anesth; 2011 Aug; 25(4):481-91. PubMed ID: 21560027
[TBL] [Abstract][Full Text] [Related]
16. E-PASS (The Estimation of Physiologic Ability and Surgical Stress) scoring system helps the prediction of postoperative morbidity and mortality in thoracic surgery.
Yamashita S; Haga Y; Nemoto E; Nagai S; Ohta M
Eur Surg Res; 2004; 36(4):249-55. PubMed ID: 15263831
[TBL] [Abstract][Full Text] [Related]
17. Validity of E-PASS System for Postoperative Morbidity of Spinal Surgery.
Hirose J; Taniwaki T; Fujimoto T; Okada T; Nakamura T; Usuku K; Mizuta H
J Spinal Disord Tech; 2015 Dec; 28(10):E595-600. PubMed ID: 24270578
[TBL] [Abstract][Full Text] [Related]
18. Estimation of Physiologic Ability and Surgical Stress (E-PASS) as a new prediction scoring system for postoperative morbidity and mortality following elective gastrointestinal surgery.
Haga Y; Ikei S; Ogawa M
Surg Today; 1999; 29(3):219-25. PubMed ID: 10192731
[TBL] [Abstract][Full Text] [Related]
19. Estimation of physiologic ability and surgical stress (E-PASS) scoring system could provide preoperative advice on whether to undergo laparoscopic surgery for colorectal cancer patients with a high physiological risk.
Zhang A; Liu T; Zheng K; Liu N; Huang F; Li W; Liu T; Fu W
Medicine (Baltimore); 2017 Aug; 96(33):e7772. PubMed ID: 28816959
[TBL] [Abstract][Full Text] [Related]
20. [Diagnosis and risk assessment of postoperative complications of gastric cancer in Japan and Korea].
Hu X; Zhang C
Zhonghua Wei Chang Wai Ke Za Zhi; 2017 Feb; 20(2):129-134. PubMed ID: 28226343
[TBL] [Abstract][Full Text] [Related]
[Next] [New Search]