Evidence map›Paper›PMID 41988286›Full record

ArticleJournal of thoracic disease2026

The geriatric nutritional risk index predicts pathological complete response and anastomotic leakage in esophageal cancer patients undergoing neoadjuvant therapy.

Jingyuan Niu, Jiahao Huang, Min Zhang, Bin Yang, Tao Lu

Abstract read
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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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1 · What the graph read from it

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Jingyuan Niu *Department of Thoracic Surgery, Shanxi Province Cancer Hospital, Taiyuan, China.ORCID https://orcid.org/0009-0007-2091-735X
Jiahao Huang *Department of Thoracic Surgery, Shanxi Province Cancer Hospital, Taiyuan, China.
Min Zhang *Department of Thoracic Surgery, Shanxi Province Cancer Hospital, Taiyuan, China.
Bin YangDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital, Taiyuan, China.
Tao LuDepartment of Thoracic Surgery, Shanxi Province Cancer Hospital, Taiyuan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

anastomotic leak (AL)Esophageal squamous cell carcinoma (ESCC)geriatric nutritional risk index (GNRI)neoadjuvant therapypathological complete response (pCR)

Identifiers

PMID41988286
PMCPMC13077359

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.