A commentary on “albumin-to-alkaline phosphatase ratio as a novel prognostic indicator for patients undergoing minimally invasive lung cancer surgery: Propensity score matching analysis using a prospective database” (International Journal of Surgery 2019; 59: 32–42)

2020 ◽  
Vol 82 ◽  
pp. 51-53
Author(s):  
Wenying Xu ◽  
Yanwen Wang ◽  
Yan Wang
2020 ◽  
Author(s):  
Ke Zhang ◽  
Shu Dong ◽  
Yan-Hua Jing ◽  
Hui-Feng Gao ◽  
Lian-Yu Chen ◽  
...  

Abstract Background Recent evidence suggests that albumin-to-Alkaline Phosphatase Ratio (AAPR) functions as a novel prognostic marker in several malignancies. However, whether it can predict the prognosis of unresectable pancreatic ductal adenocarcinoma (PDAC) remains unclear. Herein, we seek to explore this possibility by a propensity score matching (PSM) analysis. Methods This was a retrospective design in which 419 patients diagnosed with unresectable PDAC and receiving chemotherapy were recruited. Patients were stratified based on the cutoff value of AAPR. The PSM analysis was used to identify 156 well-balanced patients in each group for overall survival (OS) comparison and subgroup analysis. Univariate and multivariate analyses were carried out to examine the potential of AAPR to indicate the prognosis of unresectable PDAC. Results We identified an AAPR of 0.4 to be the optimal cutoff for OS prediction. Patients with AAPR≤0.4 had significantly shorter OS compared with patients with AAPR>0.4 (6.4 versus 9.3 months; P<0.001). Based on the PSM cohort and entire cohort, multivariate Cox analysis revealed that high pretreatment for AAPR was an independent marker predicting favorable survival in unresectable PDAC (hazard ratio, 0.556; 95% confidence interval, 0.408 to 0.757; P<0.001). Significant differences in OS were observed in all subgroups except for the group of patients age≤60. Conclusions Pretreatment AAPR is an effective marker that predicts outcomes of patients with unresectable PDAC, potentially helping clinicians to identify patients at high risk and guide individualized treatment.


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