ArticleJournal of thoracic disease2026
The geriatric nutritional risk index predicts pathological complete response and anastomotic leakage in esophageal cancer patients undergoing neoadjuvant therapy.
Article in Journal of thoracic disease, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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Abstract
Background: Esophageal squamous cell carcinoma (ESCC) poses a significant global health challenge. Pathological complete response (pCR) to neoadjuvant therapy followed by surgery is a crucial predictor of survival, but treatment response is highly variable. Nutritional status and systemic inflammation are key determinants of outcomes. This study aimed to evaluate the geriatric nutritional risk index (GNRI), alone and combined with body mass index (BMI), as a predictor for pCR and anastomotic leak (AL) in this patient population. Methods: In this retrospective study, 143 ESCC patients undergoing neoadjuvant therapy and radical esophagectomy were enrolled. The GNRI was calculated using serum albumin and body weight. The optimal GNRI cutoff for predicting pCR was determined by receiver operating characteristic (ROC) curve analysis. Patients were stratified into high (≥106.7) and low (<106.7) GNRI groups. Univariate and multivariate logistic regression analyses were performed to identify independent predictors for pCR and AL. The synergistic value of GNRI and BMI was assessed through collinearity analysis, mutual adjustment in multivariate models, and model fit statistics [Akaike information criterion (AIC), likelihood ratio tests]. Results: The pCR rate was significantly higher in the high GNRI group (39.3% Conclusions: Pretreatment GNRI is a powerful, independent predictor for pCR and AL in ESCC patients. Its high negative predictive value helps identify patients with a very low probability of responding to standard neoadjuvant therapy. The combination of GNRI and BMI provides superior predictive power for pCR, as they offer complementary information. These simple, cost-effective indices should be integrated into initial patient assessment to improve risk stratification and guide personalized treatment strategies.
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