scholarly journals Peer review report 1 on "Prospective validation of a preoperative risk score model based on pancreatic texture to predict postoperative pancreatic fistula after pancreaticoduodenectomy."

2017 ◽  
Vol 37 ◽  
pp. 589
Author(s):  
Frederik Berrevoet
Keyword(s):  
Pancreatic Fistula ◽  
Peer Review ◽  
Risk Score ◽  
Postoperative Pancreatic Fistula ◽  
Preoperative Risk ◽  
Model Based ◽  
Pancreatic Texture ◽  
Score Model

scholarly journals Prospective validation of a preoperative risk score model based on pancreatic texture to predict postoperative pancreatic fistula after pancreaticoduodenectomy

2017 ◽  
Vol 48 ◽  
pp. 189-194 ◽  
Author(s):  
Riccardo Casadei ◽  
Claudio Ricci ◽  
Giovanni Taffurelli ◽  
Carlo Alberto Pacilio ◽  
Mariacristina Di Marco ◽  
...  
Keyword(s):  
Pancreatic Fistula ◽  
Risk Score ◽  
Postoperative Pancreatic Fistula ◽  
Preoperative Risk ◽  
Model Based ◽  
Pancreatic Texture ◽  
Score Model

Prospective validation of a preoperative risk score model to predict the incidence of postoperative pancreatic fistula after partial pancreatic resection

Pancreatology ◽  
2016 ◽  
Vol 16 (3) ◽  
pp. S76-S77
Author(s):  
Giovanni Taffurelli ◽  
Claudio Ricci ◽  
Donatella Santini ◽  
Anna Guariniello ◽  
Carlo Alberto Pacilio ◽  
...  
Keyword(s):  
Pancreatic Fistula ◽  
Risk Score ◽  
Pancreatic Resection ◽  
Postoperative Pancreatic Fistula ◽  
Preoperative Risk ◽  
Score Model

scholarly journals Retrospective Comparative Analysis of POPF Using Fistula Risk Score According to Pancreaticoenterostomy Method

2021 ◽  
Vol 105 (1-3) ◽  
pp. 559-563
Author(s):  
Seungmin Lee ◽  
Kwang Yeol Paik
Keyword(s):  
High Risk ◽  
Pancreatic Fistula ◽  
Risk Score ◽  
Risk Group ◽  
Risk Groups ◽  
High Risk Group ◽  
Postoperative Pancreatic Fistula ◽  
Clinical Risk Score ◽  
Reconstructive Methods ◽  
Fistula Risk Score

Background The aim of this study is to examine whether pancreaticogastrostomy (PG) or pancreaticojejunostomy (PJ) is the better reconstructive method to reduce postoperative pancreatic fistula (POPF) after pancreaticoduodenectomy (PD) according to the fistula risk. Methods An institutional database was reviewed for patients undergoing PD between January 2008 and August 2019. A total of 159 patients were stratified into 4 groups according to the Clinical Risk Score-Pancreatic Fistula. POPF according to 4 risk groups was compared between PJ and PG. Results Of the 159 patients, 82 underwent PG (51.6%) and 77 underwent PJ (48.4%) reconstruction. POPF rate was 17.1% (n = 14) in the PG group and 12.9% (n = 10) in the PJ group (P = 0.51). POPF rates were not different in intermediate, low, and negligible risks between 2 reconstructive methods. In the high-risk group (n = 47), there were 4 POPFs (22.2%) in PJ group and 9 (31.0%) in the PG group, respectively (P = 0.74). Conclusion In PD, there was no superior method of reconstruction with regard to POPF, even in high-risk glands.

A novel risk score model based on glycolysis‐related genes and a prognostic model for predicting overall survival of osteosarcoma patients

2022 ◽  
Author(s):  
Wenhao Chen ◽  
Yuxiang Lin ◽  
Jianping Huang ◽  
Zhiyu Yan ◽  
Hua Cao
Keyword(s):  
Overall Survival ◽  
Risk Score ◽  
Prognostic Model ◽  
Model Based ◽  
Score Model

scholarly journals Tumor infiltrating immune cells (TIICs) as a biomarker for prognosis benefits in patients with osteosarcoma

BMC Cancer ◽  
2020 ◽  
Vol 20 (1) ◽  
Author(s):  
Ying Chen ◽  
Bo Zhao ◽  
Xiaohu Wang
Keyword(s):  
Risk Score ◽  
Immune Cells ◽  
Poor Prognosis ◽  
Immune Cell ◽  
Cell Types ◽  
Difficult Problem ◽  
Model Base ◽  
Model Based ◽  
Kaplan Meier ◽  
Score Model

Abstract Background Osteosarcoma is a rare malignant bone tumor in adolescents and children. Poor prognosis has always been a difficult problem for patients with osteosarcoma. Recent studies have shown that tumor infiltrating immune cells (TIICs) are associated with the clinical outcome of osteosarcoma patients. The aim of our research was to construct a risk score model based on TIICs to predict the prognosis of patients with osteosarcoma. Methods CIBERSORTX algorithm was used to calculate the proportion of 22 TIIC types in osteosarcoma samples. Kaplan-Meier curves were drawn to investigate the prognostic value of 22 TIIC types. Forward stepwise approach was used to screen a minimal set of immune cell types. Multivariate Cox PHR analysis was performed to construct an immune risk score model. Results Osteosarcoma samples with CIBERSORTX output p value less than 0.05 were selected for research. Kaplan-Meier curves indicated that naive B cells (p = 0.047) and Monocytes (p = 0.03) in osteosarcoma are associated with poor prognosis. An immune risk score model was constructed base on eight immune cell types, and the ROC curve showed that the immune risk score model is reliable in predicting the prognosis of patients with osteosarcoma (AUC = 0.724). Besides, a nomogram model base on eight immune cell types was constructed to predict the survival rate of patients with osteosarcoma. Conclusions TIICs are closely related to the prognosis of osteosarcoma. The immune risk score model based on TIICs is reliable in predicting the prognosis of osteosarcoma.

scholarly journals Preoperative Risk Score Model to Characterize Predictors of Spinal Cord Ischemia Following Thoracic Endovascular Aortic Repair

2016 ◽  
Vol 64 (3) ◽  
pp. 832
Author(s):  
Albeir Mousa ◽  
Mike Broce ◽  
Michael Yacoub ◽  
Andrew Sticco ◽  
Mina Baskharoun ◽  
...  
Keyword(s):  
Spinal Cord ◽  
Risk Score ◽  
Spinal Cord Ischemia ◽  
Thoracic Endovascular Aortic Repair ◽  
Endovascular Aortic Repair ◽  
Preoperative Risk ◽  
Aortic Repair ◽  
Score Model
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