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Review

Clinical Significance of Nutrition and Inflammation in Esophageal Cancer Patients with Surgery: A Meta-Analysis

, , , , &
Pages 3128-3139 | Received 23 Jul 2021, Accepted 08 Mar 2022, Published online: 26 Mar 2022
 

Abstract

Many studies have reported that the geriatric nutritional risk index (GNRI) and C-reactive protein to albumin ratio (CAR) may be associated with prognosis of esophageal cancer (EC); however, the results are inconsistent. Therefore, we performed a meta-analysis to evaluate the effect of preoperative GNRI and CAR on the prognosis of EC. PubMed, Embase, Cochrane Library, and Web of Science databases were searched. Pooled hazard ratios (HRs) and 95% confidence intervals (CIs) were used to analyze the relationship between GNRI/CAR and prognosis. Publication bias was estimated using Begg’s funnel plot asymmetry test and Egger’s test. A total of 21 studies comprising 5,018 patients were included in the meta-analysis. A decreased GNRI was significantly associated with poorer overall survival (OS) (HR = 1.808, 95% CI: 1.489-2.196, P < 0.001) and cancer-specific survival (CSS) (HR = 1.769, 95% CI: 1.193-2.624, P = 0.005), and an increased CAR was significantly associated with lower OS (HR = 2.179, 95% CI: 1.587-2.992, P < 0.001), CSS (HR = 1.733, 95% CI: 1.333-2.253, P < 0.001), and recurrence-free survival (HR = 2.178, 95% CI: 1.328-3.573, P = 0.002). Thus, preoperative GNRI and CAR may be noninvasive and powerful tools for predicting survival outcomes in patients with EC.

Acknowledgments

We sincerely thank all authors and study participants for their support in the study.

Disclosure Statement

No potential conflict of interest was reported by the authors.

Author Contributions

QY, XC, and AS conceived and designed the study. LG and HP searched and collected data. QY analyzed the data and participated in writing the manuscript. XC and AS reviewed and revised the manuscript. All authors read and approved the final manuscript and its submission.

Additional information

Funding

This work was supported by the Scientific Research Project of “333 Project” in Jiangsu Province under Grant [BRA2019030] and Nantong Science and Technology Foundation under Grant [MS22019008].

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