ArticleAmerican journal of translational research2024
Clinical value of prognostic nutritional index combined with C-reactive protein and albumin in early prediction of anastomotic leakage after radical gastric cancer surgery.
Article in American journal of translational research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper, 1 of them a synthesis that pooled it.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
1 citing paper in PubMed, 1 synthesis or guideline pooled it.
- Systematic review and meta-analysis of risk prediction models for anastomotic leak after gastric cancer surgery.Frontiers in medicine · 2026Pooled it
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
objectiveTo evaluate the predictive value of the Prognostic Nutritional Index (PNI) combined with C-reactive protein (CRP) and albumin (ALB) for anastomotic leakage following radical gastric cancer surgery.
methodsA retrospective case-control study was conducted with 275 gastric cancer patients at the Second People's Hospital of Lanzhou City from September 2019 to October 2022. Patients were categorized into an anastomotic leakage group (n=31) or a non-leakage group. Clinical, surgical, and pathological data were analyzed using logistic regression to develop two risk models: a combined clinical-laboratory index (RISK1) and a separate laboratory index (RISK2). Model effectiveness was compared using Receiver Operating Characteristic (ROC) curves.
resultsAnastomotic leakage occurred in 11.27% of patients, predominantly in those with advanced TNM stages (P=0.006). Notably, higher operative times (P=0.049) and increased intraoperative bleeding (P=0.027) were associated with the leakage group. Significant differences in ALB, PNI, and CRP levels were observed between the groups. Both RISK1 and RISK2 identified ALB, CRP, PNI, operative time, and intraoperative bleeding as independent predictors of leakage, demonstrating high predictive accuracy (RISK1 AUC=0.937, RISK2 AUC=0.911), with no significant difference in performance between the models (P=0.245).
conclusionThe combination of ALB, CRP, and PNI effectively predicts the risk of anastomotic leakage in patients undergoing gastric cancer surgery. These biomarkers can significantly enhance postoperative management and improve patient outcomes.
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