ArticleFrontiers in nutrition2023
The combination of hand grip strength and modified Glasgow prognostic score predicts clinical outcomes in patients with liver cancer.
Article in Frontiers in nutrition, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed.
- The combined impact of social isolation and unhealthy risk score on mortality risk: a study from two prospective cohorts.BMC public health · 2026Article
- Application and Modification of Nutritional Assessment Tools in Hematologic Malignancies.Cancers · 2026Article
- Post-chemotherapy C-reactive protein/albumin ratio predicts prognosis in stage II-III colorectal cancer.World journal of gastrointestinal surgery · 2026Article
- Glasgow Prognostic Score Predicts Hepatic Recompensation in Decompensated Primary Biliary Cholangitis: A Multicenter Cohort Study.Journal of inflammation research · 2026Article
- Exploratory evaluation of combined handgrip strength and Age-Adjusted Charlson Comorbidity Index for prognosis in patients with primary liver cancer undergoing hepatectomy: a single-centre pilot study.Frontiers in medicine · 2026Article
- Association between Preoperative Exercise Tolerance, Comorbidities, and Survival Rates in Patients with Pancreatic Cancer.JMA journal · 2025Article
- Prognostic value of CRP-albumin-lymphocyte index in patients with intrahepatic cholangiocarcinoma after radical resection.Frontiers in medicine · 2025Article
- Combination of handgrip strength and high-sensitivity modified Glasgow prognostic score predicts survival outcomes in patients with colon cancer.Frontiers in nutrition · 2024Article
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24 authors.
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Abstract
Purpose: Previous studies have shown that both hand grip strength (HGS) and the modified Glasgow Prognostic Score (mGPS) are associated with poor clinical outcomes in patients with liver cancer. In spite of this, no relevant studies have been conducted to determine whether the combination of HGS and mGPS can predict the prognosis of patients with liver cancer. Accordingly, this study sought to explore this possibility. Methods: This was a multicenter study of patients with liver cancer. Based on the optimal HGS cutoff value for each sex, we determined the HGS cutoff values. The patients were divided into high and low HGS groups based on their HGS scores. An mGPS of 0 was defined as low mGPS, whereas scores higher than 0 were defined as high mGPS. The patients were combined into HGS-mGPS groups for the prediction of survival. Survival analysis was performed using Kaplan-Meier curves. A Cox regression model was designed and adjusted for confounders. To evaluate the nomogram model, receiver operating characteristic curves and calibration curves were used. Results: A total of 504 patients were enrolled in this study. Of these, 386 (76.6%) were men (mean [SD] age, 56.63 [12.06] years). Multivariate analysis revealed that patients with low HGS and high mGPS had a higher risk of death than those with neither low HGS nor high mGPS (hazard ratio [HR],1.50; 95% confidence interval [CI],1.14-1.98; Conclusion: A combination of low HGS and high mGPS is associated with poor prognosis in patients with liver cancer. The combination of HGS and mGPS can predict the prognosis of liver cancer more accurately than HGS or mGPS alone. The nomogram model developed in this study can effectively predict the survival outcomes of liver cancer.
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