ArticleFrontiers in oncology2021
Albumin-To-Alkaline Phosphatase Ratio as a Novel and Promising Prognostic Biomarker in Patients Undergoing Esophagectomy for Carcinoma: A Propensity Score Matching Study.
Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Development and validation of a metabolic-inflammatory-nutritional prognostic model for esophageal squamous carcinoma.BMC cancer · 2026Article
- A Commentary on "Prognostic significance of the albumin-to-alkaline phosphatase ratio in gastrointestinal cancer patients: a systematic review and meta-analysis".International journal of surgery (London, England) · 2026Article
- A study on the correlation between albumin-to-alkaline phosphatase ratio and the severity of pelvic inflammatory disease.Frontiers in medicine · 2025Article
- Interpretations of the Role of Plasma Albumin in Prognostic Indices: A Literature Review.Journal of clinical medicine · 2023Review
- Value of a preoperative prognostic nutritional index for the prognostic evaluation of gastric neuroendocrine carcinoma patients.Frontiers in nutrition · 2023Article
- Effects of Radiotherapy on Survival of Esophageal Cancer Patients Receiving Immunotherapy: Propensity Score Analysis and Nomogram Construction.Cancer management and research · 2022Article
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Authors and funding
8 authors.
Funding
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Abstract
backgroundAlbumin-to-alkaline phosphatase ratio (AAPR) has been reported as a novel prognostic predictor for numerous solid tumors. We aimed to assess the prognostic role of preoperative AAPR in surgically resectable esophageal squamous cell carcinoma (ESCC) by a propensity score matching (PSM) analysis with predictive nomograms.
methodsOur study was conducted in a single-center prospective database between June 2009 and December 2012. Kaplan-Meier analysis was used to distinguish the difference in survival outcomes between patients stratified by an AAPR threshold. Multivariable Cox proportional hazards regression model was finally generated to specify independent prognostic markers for the entire and PSM cohorts.
resultsA total of 497 patients with ESCC were included in this study. An AAPR of 0.50 was determined as the optimal cutoff point for prognostic outcome stratification. Patients with AAPR<0.50 had significantly worse overall survival (OS), and progression-free survival (PFS) compared to those with AAPR≥0.50 (Log-rank
conclusionAAPR can be considered as a simple, convenient and noninvasive biomarker with a significant prognostic effect in surgically resected ESCC.
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