Evidence map›Paper›PMID 41882402›Full record

Observational studyEuropean journal of pediatrics2026

CT-Based body composition and nutritional status as predictors of early-treatment chemotherapy-related infections and hematologic toxicity in pediatric cancer: a prospective study.

Beatriz Pereira de Carvalho, Isabella Caroline Santana Aleixo, Nathalia Farache Tostes, Nilian Carla Souza, Danúbia da Cunha Antunes Saraiva, Renata Brum Martucci

Abstract readObservational Study
In one paragraph

Observational study in European journal of pediatrics, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Trial
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Beatriz Pereira de CarvalhoPost-Graduated Program in Medical Science, Medical Science Faculty, State University of Rio de Janeiro, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0009-0004-9600-9882
Isabella Caroline Santana AleixoNutrition and Dietetics Sector, Cancer Hospital Unit I, National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0009-0006-9327-9793
Nathalia Farache TostesPost-Graduated Program in Nutrition, Food and Health, Nutrition Institute, Rio de Janeiro State University, Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0002-0633-025X
Nilian Carla SouzaNutrition and Dietetic Sector, Cancer Hospital Unit I, National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-1396-3386
Danúbia da Cunha Antunes SaraivaNutrition and Dietetic Sector, Cancer Hospital Unit I, National Cancer Institute (INCA), Rio de Janeiro, RJ, Brazil.ORCID http://orcid.org/0000-0003-1849-2894
Renata Brum MartucciDepartment of Applied Nutrition, Nutrition Institute, Rio de Janeiro State University, Rio de Janeiro, Brazil, R. São Francisco Xavier, 524 - Maracanã, Rio de Janeiro, RJ, CEP21550-170, Brazil. renatabrum@yahoo.com.ORCID http://orcid.org/0000-0002-3354-4229

Funding

Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro FAPERJ Nº SEI-260003/015498/2021)
6 · The paper itself

Abstract

Chemotherapy-related toxicity has been associated with body composition, yet there is no consensus on which CT-derived muscle parameter or handgrip strength (HGS) best predicts toxicity in pediatric cancer patients. This study evaluated whether CT-derived body composition parameters and nutritional status independently predict early chemotherapy-related infections and hematologic toxicity in children and adolescents with cancer. In this prospective observational cohort, patients aged 7-18 years undergoing chemotherapy with available CT/PET-CT scans were included. Anthropometric data (weight, height, arm circumference, triceps skinfold thickness) and HGS were collected. At the third lumbar vertebra (L3), skeletal muscle mass (SMM), skeletal muscle index (SMI), total adipose tissue, and muscle radiodensity were measured; psoas area was assessed at L4. Associations were analyzed using χ2 tests and logistic regression adjusted for sex, age, tumor stage, and type. Forty-eight patients were included (mean age 12.6 ± 3.3 years; 64.6% male); 64.6% had hematologic malignancies and 53.6% had advanced disease. Most were classified as having normal nutritional status (50-64.6%). Hematologic (100%) and gastrointestinal (85.4%) toxicities were most frequent. Low SMM and SMI were correlated with a higher risk of infection (OR 4.20; 95% CI 1.23-14.27 and OR 3.92; 95% CI 1.17-13.20, respectively) and fever (OR 4.05; 95% CI 1.21-13.54 and OR 5.82; 95% CI 1.67-20.25, respectively). After adjustment, only low SMI remained independently associated with fever (OR 4.74; 95% CI 1.09-20.61; p = 0.038).

conclusionsLow muscle mass was associated with early infection and fever-related toxicity, suggesting a role of muscle quantity in immune function during pediatric cancer treatment. WHAT IS KNOWN: • Body composition in children and adolescents changes during chemotherapy is associated with treatment-related toxicity. • Muscle status is crucial for chemotherapy tolerance and treatment response. WHAT IS NEW: • Low skeletal muscle mass was associated with a higher risk of toxicities, including fever. • No association was found between anthropometric parameters, HGS and toxicities, indicating that further studies are needed.

Indexed as

Antineoplastic AgentsBody CompositionInfectionsNeoplasmsNutritional StatusTomography, X-Ray ComputedAdolescentChildFemaleHand StrengthHumansMaleProspective StudiesAntineoplastic AgentsBody compositionCancerChemotherapyComputed tomographyPediatricsToxicity

Identifiers

PMID41882402
PMCPMC13018010

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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.