Evidence map›Paper›PMID 42570119›Full record

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

Limited agreement between nutritional screening tools and CT-defined body composition alterations in hospitalized cancer patients: a real-world analysis.

Matheus de Souza Lima, Almir Galvão Vieira Bitencourt, Thais Manfrinato Miola

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Article 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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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

3 authors.

Matheus de Souza LimaAC Camargo Cancer Center, São Paulo, Brazil. contato@matheusnutri.com.br.ORCID http://orcid.org/0000-0001-5555-9168
Almir Galvão Vieira BitencourtAC Camargo Cancer Center, São Paulo, Brazil.ORCID http://orcid.org/0000-0003-0192-9885
Thais Manfrinato MiolaAC Camargo Cancer Center, São Paulo, Brazil.ORCID http://orcid.org/0000-0002-6554-6923

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeNutritional screening tools are widely used in routine oncologic care to identify patients at nutritional risk. However, their ability to identify hospitalized patients with relevant alterations in body composition remains unclear. This study aimed to evaluate whether nutritional screening tools routinely used in clinical practice capture patients with CT-defined changes in muscle mass and quality.

methodsThis retrospective, cross-sectional study included hospitalized adult cancer patients treated at a tertiary cancer center in São Paulo, Brazil, between 2022 and 2023. Eligible patients underwent abdominal computed tomography (CT) and nutritional screening during hospitalization. Skeletal muscle index (SMI) and skeletal muscle density (SMD) were assessed at the third lumbar vertebra (L3) using CoreSlicer® software. Nutritional risk was evaluated using routinely implemented screening tools, and associations with CT-derived body composition parameters were analyzed.

resultsTwo hundred seventy-two patients were included. Low muscle mass was identified in 51.1% of patients and low muscle density in 52.2%, including individuals with normal or elevated body mass index. Nutritional risk identified by NRS-2002 was significantly associated with SMI but showed limited ability to identify CT-defined alterations when used in isolation. The CNS demonstrated high sensitivity but low specificity. Many patients with CT-detected alterations in muscle mass and quality were not classified as at nutritional risk by screening tools.

conclusionWidely used screening instruments may overlook clinically relevant alterations in body composition among patients. When imaging is already available as part of routine oncologic care, opportunistic CT-based assessment may complement screening and support more individualized supportive care interventions.

Indexed as

Body CompositionMalnutritionNeoplasmsNutrition AssessmentTomography, X-Ray ComputedAdultAgedAged, 80 and overBody Mass IndexBrazilCross-Sectional StudiesFemaleHospitalizationHumansMaleMiddle AgedBody compositionCancerComputed tomographyMalnutritionNutritional screeningSarcopenia

Identifiers

PMID42570119
PMCPMC13452828

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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.