Evidence map›Paper›PMID 39738243›Full record

ArticleScientific reports2024

Impact of body composition and muscle health phenotypes on survival outcomes in colorectal cancer: a multicenter cohort.

Ana Lúcia Miranda, Jarson Pedro da Costa Pereira, Iasmin Matias de Sousa, Glaucia Mardrini Cassiano Ferreira, Mara Rubia de Oliveira Bezerra, Gabriela Villaça Chaves, Fernanda F Maciel, Leonardo Borges Murad, Sara Maria Moreira Lima Verde, Sílvia Fernandes Maurício and 5 more

Abstract readMulticenter Study
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

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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

15 authors.

Ana Lúcia MirandaPostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Jarson Pedro da Costa PereiraPostgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, PE, Brazil.
Iasmin Matias de SousaPostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Glaucia Mardrini Cassiano FerreiraPostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Mara Rubia de Oliveira BezerraPostgraduate Program in Nutrition, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil.
Gabriela Villaça ChavesDepartment of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, RJ, Brazil.
Fernanda F MacielDepartment of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, RJ, Brazil.
Leonardo Borges MuradDepartment of Nutrition, Cancer Hospital II, National Cancer Institute José Alencar Gomes da Silva (INCA), Rio de Janeiro, RJ, Brazil.
Sara Maria Moreira Lima VerdePostgraduate Program in Nutrition and Health, State University of Ceara, Fortaleza, CE, Brazil.
Sílvia Fernandes MaurícioSchool of Nutrition, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
José Barreto Campello CarvalheiraDivision of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, SP, Brazil.
Maria Carolina MendesDivision of Oncology, Department of Anesthesiology, Oncology and Radiology, School of Medical Sciences, State University of Campinas (UNICAMP), Campinas, SP, Brazil.
Maria Cristina GonzalezPostgraduate Program in Nutrition and Food, Federal University of Pelotas, Pelotas, Rio Grande do Sul, Brazil.
Carla M PradoDepartment of Agricultural, Food and Nutritional Science, University of Alberta, Edmonton, Canada.
Ana Paula Trussardi FayhPostgraduate Program in Health Sciences, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, RN, Brazil. ana.fayh@ufrn.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Body composition abnormalities are prognostic markers in several types of cancer, including colorectal cancer (CRC). Using our data distribution on body composition assessments and classifications could improve clinical evaluations and support population-specific opportune interventions. This study aimed to evaluate the distribution of body composition from computed tomography and assess the associations with overall survival among patients with CRC. In this multicenter cohort study, patients (N = 635) aged 18 years and older with CRC were observed for 12 to 36 months to assess outcomes. Skeletal muscle area (SM) and index (SMI), skeletal muscle radiodensity (SMD), intermuscular adipose tissue (IMAT), subcutaneous adipose tissue (SAT), and visceral adipose tissue (VAT) were evaluated, and classified based on tertile distributions. Low muscle mass (SMI) and poor muscle composition (SMD) were independent predictors of mortality regardless of follow-up period. This risk of mortality increased to more than 3-fold when combining both low SMI and low SMD (HR

Indexed as

Body CompositionColorectal NeoplasmsMuscle, SkeletalTomography, X-Ray ComputedAdultAgedCohort StudiesFemaleHumansMaleMiddle AgedPhenotypePrognosisBody compositionCancerComputed tomographyMuscle massSurvival

Identifiers

PMID39738243
PMCPMC11685822

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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.