ArticleCancer management and research2023
Preoperative Prognostic Nutritional Index Predict Survival in Patients with Resectable Adenocarcinoma of the Gastroesophageal Junction: A Retrospective Study Based on Propensity Score Matching Analyses.
Article in Cancer management and research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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5 citing papers in PubMed, 4 citations in OpenAlex.
- Joint Association of Physical Activity and Prognostic Nutritional Index on Survival in US Cancer Survivors: A Study Based on the NHANES Database.Cancer medicine · 2026Article
- The prognostic nutritional index improves risk stratification for acute pulmonary embolism.iScience · 2026Article
- The investigation of factors influencing the prognostic nutritional index in patients with esophageal cancer-a cross-sectional study.Journal of thoracic disease · 2025Article
- Association of prognostic nutritional index with mortalities in American adult cancer survivors: A cohort study based on NHANES, 1999-2018.Food science & nutrition · 2024Article
- Prognostic nutritional index in predicting survival of patients with gastric or gastroesophageal junction adenocarcinoma: A systematic review.World journal of gastrointestinal oncology · 2024Article
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: This study evaluated the value of PNI to predicting relapse-free survival (RFS) and overall survival (OS) in patients with resectable gastroesophageal junction adenocarcinoma (AGE). Methods: Between 2016 and 2020, there were 236 resectable AGE patients underwent a retrospective review via propensity score matched (PSM) analysis. The PNI values were computed for each patient prior to surgery [PNI= 10×albumin (gr/dL) + 0.005×total lymphocyte count (mm3)]. By using disease progression and mortality as the end points, a receiver operating characteristic(ROC) curve was plotted to identify the PNI cut-off value. Kaplan-Meier curves and Cox proportional hazard models were used for survival analysis. Results: The ROC curve indicated that the ideal cutoff value was 45.60. After propensity score matching, there were 143 patients in our retrospective study, which included 58 patients in the low-PNI group and 85 patients in the high-PNI group. When compared to the low PNI group, the high PNI group substantially increased RFS and OS (p<0.001, p=0.003, respectively) according to the Kaplan-Meier analysis and Log rank test. Advanced pathological N stage (p=0.011) and poor PNI (p=0.004) were also significant risk factors for a shorter OS, according to a univariate analysis. Multivariate analysis revealed that the N0 plus N1 group had an endpoint mortality risk that was 0.39 times lower than the N2 plus N3 group's (p=0.008). In comparison to the high PNI group, the hazard of endpoint mortality was 2.442 times greater in the low PNI group (p = 0.003). Conclusion: PNI is a simplistic and practical predictive predictor of the RFS and OS time in patients with resectable AGE.
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