Evidence map›Paper›PMID 40998986›Full record

ArticleScientific reports2025

A potential bioelectrical impedance equation for estimating skeletal muscle area using computed tomography in colorectal cancer.

Amanda de Sousa Rebouças, Jarson P Costa-Pereira, Rodrigo Albert Baracho Ruegg, Galtieri Otávio Cunha de Medeiros, Nithaela Alves Bennemann, Nilian Carla Souza, Sílvia Fernandes Maurício, Alcides da Silva Diniz, Maria Cristina Gonzalez, Carla M Prado and 1 more

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Article in Scientific reports, 2025. 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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0citing papers in PubMed
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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

11 authors.

Amanda de Sousa RebouçasPostgraduate Program in Health Science, Health Science Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, nº 3000, Natal, RN, 59078-970, Brazil.
Jarson P Costa-PereiraPostgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, PE, Brazil.
Rodrigo Albert Baracho RueggPostgraduate Program in Health Science, Health Science Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, nº 3000, Natal, RN, 59078-970, Brazil.
Galtieri Otávio Cunha de MedeirosPostgraduate Program in Health Science, Health Science Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, nº 3000, Natal, RN, 59078-970, Brazil.
Nithaela Alves BennemannPostgraduate Program in Health Science, Health Science Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, nº 3000, Natal, RN, 59078-970, Brazil.
Nilian Carla SouzaBrazilian National Cancer Institute, Rio de Janeiro, RJ, Brazil.
Sílvia Fernandes MaurícioDepartment of Clinical and Social Nutrition, Federal University of Ouro Preto, Ouro Preto, MG, Brazil.
Alcides da Silva DinizPostgraduate Program in Nutrition and Public Health, Department of Nutrition, Federal University of Pernambuco, Recife, PE, 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 Science, Health Science Center, Federal University of Rio Grande do Norte, Avenida Senador Salgado Filho, nº 3000, Natal, RN, 59078-970, Brazil. ana.fayh@ufrn.br.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis (BIA) requires validated equations tailored to specific populations and devices to estimate body composition. In this study, we aimed to develop a predictive equation for BIA to evaluate skeletal muscle area (SMA) using computed tomography (CT) as the reference method. This is bi-center cross-sectional study, involving 211 patients. BIA was conducted using a tetrapolar model, measuring resistance (R), and reactance (Xc) values. The equation was developed using a linear regression model, maintaining variables that best correlate to SMA

Indexed as

Colorectal NeoplasmsElectric ImpedanceMuscle, SkeletalTomography, X-Ray ComputedAdultAgedAged, 80 and overBody CompositionCross-Sectional StudiesFemaleHumansMaleMiddle AgedBioelectrical impedance analysisBody compositionCancerComputed tomographyPredictive equationSkeletal muscle

Identifiers

PMID40998986
PMCPMC12464311

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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.