Evidence map›Paper›PMID 42347847›Full record

Observational studySupportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer2026

Patient-generated subjective global assessment and nutritional risk index for assessing nutritional decline during radical chemoradiotherapy in locally advanced head and neck cancer: a prospective single-center Indian study.

Akhila K, Sweety Gupta, Pooja Doley, Roshni Balu, Harish Kumar, Manoj Gupta, Deepa Joseph

Abstract readObservational Study
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Observational study in Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

7 authors.

Akhila KDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India.
Sweety GuptaDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India. drsg2411@yahoo.co.in.ORCID https://orcid.org/0000-0002-3893-2781
Pooja DoleyDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India.
Roshni BaluDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India.
Harish KumarDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India.
Manoj GuptaDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India.
Deepa JosephDepartment of Radiation Oncology, AIIMS Rishikesh, Uttarakhand, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeMalnutrition is frequent in head and neck cancer patients and may worsen during chemoradiotherapy due to treatment-related toxicities. Early identification of nutritional risk is crucial to enhance treatment tolerance and outcomes. This study aimed to evaluate nutritional status of head and neck cancer patients using Patient-Generated Subjective Global Assessment (PG-SGA) and anthropometric parameters and to assess their association with acute toxicity and treatment response. MATERIALS AND

methodsThis prospective observational study included 78 patients with locally advanced head and neck cancer treated with radical chemoradiotherapy. Baseline nutritional assessment included anthropometric parameters, biochemical markers, PG-SGA, and Nutritional Risk Index (NRI). Nutritional reassessment was done at treatment completion. Acute toxicities were graded using CTCAE v5.0 and treatment response was evaluated at 12 weeks using RECIST 1.1 criteria.

resultsThe median age was 57 years and 91% of patients were male. At baseline, 85.9% of patients were well nourished according to PG-SGA, while NRI identified nutritional risk in 51.3% of patients. A significant association was observed between PG-SGA and NRI risk (p = 0.006). Baseline anthropometric parameters did not show significant association with nutritional status. However, serum albumin showed significant association with PG-SGA (p = 0.016) and NRI (p < 0.001). Post-treatment assessment demonstrated nutritional decline in 46.2% of patients. Pre-treatment PG-SGA did not correlate with acute toxicity or treatment response. However, severe dysphagia was significantly associated with post-treatment malnutrition (p < 0.001).

conclusionNutritional deterioration is common during chemoradiotherapy in head and neck cancer patients. Patient-Generated Subjective Global Assessment, together with objective indices such as the Nutritional Risk Index, may help identify patients requiring timely nutritional intervention and swallowing support during treatment.

Indexed as

ChemoradiotherapyHead and Neck NeoplasmsMalnutritionNutrition AssessmentAdultAgedFemaleHumansIndiaMaleMiddle AgedNutritional StatusProspective StudiesRisk AssessmentChemoradiotherapyHead and neck cancerMalnutritionNutritional risk indexPatient-generated subjective global assessmentTreatment toxicity

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.