ReviewBiomolecules & biomedicine2024
Global Immune-Nutrition-Inflammation Index as a novel comprehensive biomarker in predicting the radiation-induced trismus rates in locally advanced nasopharyngeal carcinoma patients.
Review in Biomolecules & biomedicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers, 1 of them a synthesis that pooled it.
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Who cites it
6 citing papers in PubMed, 1 synthesis or guideline pooled it.
- The Effect of Rehabilitation Interventions on Trismus in Oral Cancer Patients: A Systematic Review.Oral diseases · 2026Pooled it
- The Host Tissue Repair Vulnerability Index (HTRVI): A Composite Biomarker for Predicting Osteoradionecrosis in Locally Advanced Nasopharyngeal Carcinoma.Medical sciences (Basel, Switzerland) · 2026Article
- Heat Shock Protein 27 in Radiation-Induced Trismus: Mechanistic Insights and a Hypothesis-Generating Framework.Biomedicines · 2026Review
- Evaluation of Treatment Modalities for Radiation Therapy-Induced Trismus, Considering the Timing and Adherence to Progress in Mouth Opening and Oral Health-Related Quality of Life: A Systematic Review.Patient preference and adherence · 2026Review
- Novel Index Combining Pan-Immune-Inflammatory Index and Hemoglobin Levels (PIV/Hb) Predicts Trismus Rates Efficiently after Chemoradiotherapy in Locally Advanced Nasopharyngeal Cancer.International journal of surgical oncology · 2024Article
- VMAT with CCC Algorithm Optimizes Trismus Prevention: Dose-Response Analysis of Jaw Muscles Dmean and Dmax in T3-T4 Nasopharyngeal Carcinoma.Technology in cancer research & treatmentArticle
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, we aimed to evaluate whether the novel pretreatment Global Immune-Nutrition-Inflammation Index (GINI) can predict radiation-induced trismus (RIT) in locally advanced nasopharyngeal carcinoma (LA-NPC) patients undergoing concurrent chemoradiotherapy (CCRT). Data of LA-NPC patients presenting without RIT were reviewed retrospectively. Any post-CCRT maximum mouth openings (MMO) ≤ 35 mm were considered RIT. The GINI index was calculated using the formula: GINI = (CRP x Monocytes x Platelets x Neutrophils) ÷ (Albumin x Lymphocytes). We used receiver operating characteristic (ROC) curve analysis to examine the potential correlation between pretreatment GINI measures and post-CCRT RIT status. Logistic regression analysis examined the independence of the association between confounding factors and RIT rates. The study comprised 230 participants, and 52 (22.6%) received an RIT diagnosis. The optimal pre-CCRT GINI cutoff that dichotomizes RIT rates was determined to be 1,424 (area under the curve [AUC]: 76%; sensitivity: 75.0%; specificity: 71.7%; J-index: 0.463). RIT incidence was significantly higher in the GINI ≥ 1424 group than in its GINI < 1424 counterpart (43.3% vs. 9.3%; hazard ratio: 4.76; P < 0.001). Multivariate logistic regression analysis revealed that a pre-CCRT GINI ≥ 1424 was an independent predictor of increased RIT rates after definitive CCRT in this patient group (P < 0.001). In conclusion, the present results revealed that elevated pre-CCRT GINI measures (≥ 1424) can efficiently and independently predict elevated RIT rates in LA-NPC patients after CCRT.
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