ArticleFrontiers in nutrition2022
Combination of Geriatric Nutritional Risk Index and Carcinoembryonic Antigen to Predict the Survival of Patients With Colorectal Cancer.
Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.
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Who cites it
6 citing papers in PubMed.
- Validation of predictive and concurrent validity of global leadership initiative on malnutrition nutritional risk screening using PNI, ALI, and GNRI as alternative tools in patients with cancer.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2026Article
- The association of geriatric nutritional risk and perioperative anesthesia-related adverse reactions in elderly patients with colorectal cancer-a prospective study.Translational cancer research · 2025Article
- Prognostic value of preoperative and postoperative serum CEA in colorectal signet ring cell carcinoma.Frontiers in surgery · 2025Article
- Hemoglobin-Albumin-Lymphocyte-Platelet Score as an Integrative Biomarker for Prognosis and Sarcopenia in Colorectal Cancer.Journal of inflammation research · 2025Article
- Development and Validation of Nomograms Based on Nutritional Risk Index for Predicting Extracapsular Extension and Seminal Vesicle Invasion in Patients Undergoing Radical Prostatectomy.World journal of oncology · 2023Article
- Development and validation of a nomogram based on geriatric nutritional risk index for predicting prognosis and postoperative complications in surgical patients with upper urinary tract urothelial carcinoma.Journal of cancer research and clinical oncology · 2023Article
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10 authors.
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Abstract
Background: This study explored the value of the combination of Geriatric Nutritional Risk Index (GNRI) and carcinoembryonic antigen (CEA) for the prognosis assessment of CRC patients. Methods: This study retrospectively enrolled 1,014 CRC patients who underwent surgery between 2012 and 2014. Kaplan-Meier and log-rank tests were used to compare survival differences. Cox proportional hazards regression analysis was used to assess risk factors associated with progression-free survival (PFS) and overall survival (OS). Nomograms were constructed to predict the prognosis of CRC patients. Randomized internal validation was used to confirm the predictive accuracy of the prognostic nomograms. Results: The GNRI-CEA score was established by combining GNRI and CEA. Compared with patients with normal GNRI-CEA scores, patients with mild/moderate/severe GNRI-CEA scores had significantly lower survival (PFS, 68.99% vs. 57.75% vs. 41.34% vs. 31.36%, Conclusion: The combination of GNRI and CEA can effectively stratify the prognosis of CRC patients. The nomogram established based on the two indices can provide a personalized reference for prognostic assessment and clinical decision-making for CRC patients.
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