ArticleF1000Research2022
Performance of Malnutrition Universal Screening Tool and Patient-Generated Subjective Global Assessment in screening for cancer-related malnutrition in Nairobi, Kenya.
Article in F1000Research, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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Who cites it
3 citing papers in PubMed.
- A Narrative Review Comparing Nutritional Screening Tools in Outpatient Management of Cancer Patients.Nutrients · 2024Review
- Performance of Malnutrition Universal Screening Tool and Patient-Generated Subjective Global Assessment in screening for cancer-related malnutrition in Nairobi, Kenya.F1000Research · 2022Article
- New insights in submucous fibrosis: Nicotine dependence and nutritional assessment.Journal of oral and maxillofacial pathology : JOMFPArticle
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3 authors.
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Abstract
Background: Malnutrition is a common feature among oncology patients. It is responsible for poor response and tolerance to anticancer therapy, increased morbidity, and mortality. More than half of malnourished cancer patients remain undetected owing to lack of effective screening. Body mass index is the main indicator for assessing malnutrition in Kenyan public hospitals. However, it underestimates weight loss in patients with chronic illnesses. The Malnutrition Universal Screening Tool and Patient-Generated Subjective Global Assessment have been widely used in research and clinical practice and have both reported good validity and reliability. However, their diagnostic evaluation has not been performed in Kenya. Methods: A cross-sectional study was conducted among 138 and 76 cancer outpatients from Kenyatta National Hospital and Texas cancer treatment centres, respectively. Participants had a confirmed disease, stage 1-4 cancer, and aged 18 years and above. They were screened for malnutrition using both Malnutrition Universal Screening Tool and Patient Generated-Subjective Global Assessment. A separate study questionnaire was utilized to gather participant's socio-demographic and clinical characteristics. A Bayesian latent class modelling framework was employed to infer the tests' estimates based on participants 'cumulative scores from the two tests. Results: The cut-off value of ≥ 1 and ≥ 4 gave the best combination of sensitivity and specificity of Malnutrition Universal Screening Tool and Patient Generated-Subjective Global Assessment. Both tests yielded statistically similar sensitivities and specificities. Predictive values were comparable between the tests and across the two populations. The posterior median true prevalences of malnutrition were high (˃ 54%) and numerically similar between the studied populations. Conclusions: The performance of both tests among patients with cancer is similar. Healthcare workers are therefore at liberty to use either of them to inform treatment. Given the high true prevalence of cancer-related malnutrition, routine screening is critical and should be included as part of cancer care.
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