Observational studyOral health & preventive dentistry2024
Correlation Analysis Between Prognostic Nutritional Index Trajectory Categories and Radiotherapy-induced Severe Oral Mucositis in Head and Neck Cancer Patients Undergoing Radiotherapy.
Observational study in Oral health & preventive dentistry, 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.
- Prevalence of malnutrition and nutritional risk, and associated factors in adults with head and neck cancer: a systematic review and meta-analysis.Frontiers in oncology · 2026Pooled it
- Variability of the prognostic nutritional index within 3 months after curative resection for non-small cell lung cancer and 2-year recurrence-free survival.BMC pulmonary medicine · 2026Article
- Correlation between prognostic nutritional index and oral mucositis in patients with lung adenocarcinoma treated with almonertinib: a multicenter prospective study.Frontiers in nutrition · 2026Article
- Nutritional status and weight trajectories during radiotherapy in patients with cancer: a retrospective cohort study.Frontiers in nutrition · 2026Article
- A prediction model based on the prognostic nutritional index for grade 2 or higher radiation-induced oral mucositis in patients with nasopharyngeal carcinoma.Frontiers in oncology · 2026Article
- Impact of Nutritional Status on Severe Radiation-Induced Mucositis in Oropharyngeal Cancer Patients Undergoing Chemo-Radiotherapy.Nutrients · 2025Article
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Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeTo establish the potential prognostic nutritional index (PNI) trajectory categories and examine the association between these PNI trajectory categories and severe radiotherapy-induced oral mucositis (RIOM). MATERIALS AND
methodsThis was a longitudinal retrospective observational study on 470 head and neck cancer inpatients who were to undergo radiotherapy from a grade-A tertiary hospital in Hunan Province between July 2022 and October 2023. The latent class growth model and growth mixed model were used to identify PNI trajectory categories. Logistic regression analysis was used to examine the correlation between PNI trajectory categories and severe RIOM.
resultsThree PNI trajectory categories were identified: 'PNI high-level group' (20.9%), 'PNI medium-level group' (61.3%) and 'PNI low-level group' (17.9%). The risk of severe RIOM was statistically significantly higher in the 'PNI medium-level group' and 'PNI low-level group' with OR 2.174 (95%CI 0.980-4.822) and OR 3.45 (95%CI 1.212-9.815), respectively. PNI trajectory categories and cancer type were independent risk factors for severe RIOM.
conclusionPNI can be used as a biomarker to predict severe RIOM. Patients with head and neck cancer who have a lower PNI are at higher risk of severe RIOM.
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