ArticleNutrients2022
Weight Loss in Post-Chemoradiotherapy Head and Neck Cancer Patients.
Article in Nutrients, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers, 2 of them syntheses that pooled it.
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Who cites it
14 citing papers in PubMed, 2 syntheses or guidelines pooled it, 22 citations in OpenAlex.
- Quality of life in nasopharyngeal carcinoma survivors: a systematic review and meta-analysis of longitudinal outcomes.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Pooled it
- Nutrition management for patients with head and neck cancer during peri-radiotherapy: A systematic review and quality appraisal of clinical practice guidelines using the AGREE II instrument.Frontiers in oncology · 2022Pooled it
- Article
- Trajectory of weight loss and nutritional decline in head and neck cancer patients undergoing concurrent chemoradiotherapy: a longitudinal observational study.Supportive care in cancer : official journal of the Multinational Association of Supportive Care in Cancer · 2025Observational
- Not All Weight Loss Is Equal: Divergent Patterns and Prognostic Roles in Head and Neck Cancer Versus High-Grade B-Cell Lymphoma.Nutrients · 2025Article
- Perioperative Nutritional and Metabolic Factors Affecting Surgical Outcomes in Head and Neck Cancer Free Flap Reconstruction: A Comprehensive Review.Journal of clinical medicine · 2025Review
- Beyond Conventional Treatments: The Role of Complementary Therapies in Head and Neck Cancer.Cancers · 2025Review
- Predicting disease progression from the rate of bodyweight change in nasopharyngeal carcinoma patient during radiotherapy.Scientific reports · 2025Article
- Weight censorial score: estimation of the weight loss during concurrent chemo-radiotherapy in nasopharyngeal carcinoma patients by image features predicts prognosis.La Radiologia medica · 2025Article
- Article
- Predictive Factors for Critical Weight Loss in Saudi Head and Neck Cancer Patients Undergoing (Chemo)Radiotherapy.Cancers · 2024Article
- Body weight and body surface area of adult patients with selected cancers: An Italian multicenter study.PloS one · 2024Article
- The Metabolic Footprint of Systemic Effects in the Blood Caused by Radiotherapy and Inflammatory Conditions: A Systematic Review.Metabolites · 2023Review
- Editorial of Special Issue "Diet and Nutrition during Chemotherapy and Radiotherapy".Nutrients · 2022Article
Corrections and comments
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: Weight loss is well-known among head and neck (HNC) patients during radiotherapy and could continue after the treatment is completed. Weight monitoring is essential for treatment outcomes and cancer surveillance. The purpose of the study is to evaluate the weight loss during and post-treatment among HNC patients. Methods: A total of 45 out of 50 patients post-treatment were included in this secondary treatment. Data were collected at baseline, at the completion of radiotherapy and one month after completion of radiotherapy. Results: The mean weight loss was 4.53 ± 2.87 kg (7.4%) during treatment and 1.38 ± 2.65 kg (2.1%) post-treatment. There were significant improvements one month after completion of radiotherapy in Patient-Generated Subjective Global Assessment (PGSGA), muscle mass, nutrition impact symptoms (NIS) score, energy and protein from oral intake (p < 0.0001). Energy and protein from oral nutritional supplements (ONS) decreased significantly (p < 0.0001). Conclusions: The results of this study underline the importance of early identification and monitoring post-treatment in HNC patients. The post-treatment recovery stage is very important for HNC patients to ensure a healing process.
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Registered trials
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.