Evidence map›Paper›PMID 41346195›Full record

ArticleNutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition2026

Development and validation of a nutrition risk screening for patients with childhood cancer in Brazil (NUTRICCAN).

Cristiane Ferreira Marçon, Carolina Araújo Dos Santos, Fernanda Luisa Ceragioli Oliveira

Abstract readValidation Study
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Article in Nutrition in clinical practice : official publication of the American Society for Parenteral and Enteral Nutrition, 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

3 authors.

Cristiane Ferreira MarçonPostgraduate Program in Nutrition, Federal University of São Paulo, São Paulo, Brazil.ORCID https://orcid.org/0000-0002-3819-9081
Carolina Araújo Dos SantosDepartment of Nutrition and Health, Federal University of Viçosa, Viçosa, Minas Gerais, Brazil.
Fernanda Luisa Ceragioli OliveiraPostgraduate Program in Nutrition, Federal University of São Paulo, São Paulo, Brazil.

Funding

None
6 · The paper itself

Abstract

backgroundDiagnosing malnutrition in patients with pediatric cancer is challenging because tumor masses can interfere with anthropometric measurements. STRONGkids considers cancer a general risk factor, whereas Screening Tool for Childhood Cancer (SCAN) classifies patients as at risk or not, potentially missing those who need nutrition monitoring. This study describes development and validation of a new nutrition risk screening tool for childhood cancer in Brazil.

methodsNutrition Risk Screening for Childhood Cancer (NUTRICCAN) underwent online expert content validation. Twelve nutritionists applied it to oncology inpatients (0-19 years old) at the Pediatric Oncology Institute at Federal University of São Paulo from June to August 2024. Nutrition risk was assessed using NUTRICCAN, STRONGkids, and SCAN. Logistic regression identified screening variables associated with malnutrition (body mass index-for-age z score < -2, mid-upper arm circumference [MUAC] <5

resultsPatients not receiving intensive care were almost three times more likely to have an inadequate MUAC (odds ratio [OR], 4.505; 95% confidence interval [CI], 1.446-14.033; P = 0.009). Low socioeconomic status or caregiver education increased the risk of malnutrition (OR, 2.845; 95% CI, 1.070-7.566; P = 0.036). Dietitians' subjective assessments were associated with a fourfold increased risk of malnutrition. NUTRICCAN was 70% accurate (area under the curve, 0.701; 95% CI, 0.617-0.785), outperforming the other tools.

conclusionNUTRICCAN better stratifies nutritional risk, considering clinical and socioeconomic factors, and may allow for more targeted interventions, especially in resource-limited settings.

Indexed as

MalnutritionMass ScreeningNeoplasmsNutrition AssessmentAdolescentBrazilChildChild, PreschoolFemaleHumansInfantInfant, NewbornLogistic ModelsMaleNutritional StatusReproducibility of Resultslife cyclenutritionnutrition assessmentoncologypediatricsresearch and diseases

Identifiers

PMID41346195
PMCPMC13193373

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