Evidence map›Paper›PMID 39224772›Full record

ArticleClinical medicine insights. Endocrinology and diabetes2024

Agreement Between Bioelectrical Impedance Analysis and Dual-Energy X-ray Absorptiometry to Estimate Fat Mass in Hispanic Adults With Type 2 Diabetes Mellitus: A Cross-Sectional Study.

Carolina Castillo Castro, Rogelio González Arellanes, Christian Giovanni Camacho Mondragón, Heriberto Raúl Farfán Esponda, Fabiola Mabel Del Razo Olvera, Carlos A Aguilar Salinas, Alexandro J Martagon

Abstract read
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Article in Clinical medicine insights. Endocrinology and diabetes, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 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

7 authors.

Carolina Castillo CastroEscuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.ORCID https://orcid.org/0000-0001-6541-3779
Rogelio González ArellanesThe Institute for Obesity Research, Tecnologico de Monterrey, Mexico City, Mexico.ORCID https://orcid.org/0000-0002-6860-720X
Christian Giovanni Camacho MondragónEscuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
Heriberto Raúl Farfán EspondaEscuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.
Fabiola Mabel Del Razo OlveraUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico.
Carlos A Aguilar SalinasUnidad de Investigación de Enfermedades Metabólicas, Instituto Nacional de Ciencias Médicas y Nutrición, Mexico City, Mexico.
Alexandro J MartagonEscuela de Medicina y Ciencias de la Salud, Tecnologico de Monterrey, Monterrey, Mexico.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Adipose tissue excess is associated with adverse health outcomes, including type 2 diabetes. Body mass index (BMI) is used to evaluate obesity but is inaccurate as it does not account for muscle mass, bone density, and fat distribution. Accurate measurement of adipose tissue through dual-energy X-ray absorptiometry (DXA) and computed axial tomography (CT) is crucial for managing and monitoring adiposity-related diseases. Still, these are not easily accessible in most hospitals in Mexico. Bioelectrical impedance analysis (BIA) is non-invasive and low-cost but may not be reliable in conditions affecting the body's hydration status, like diabetes. Objectives: To assess fat mass concordance between BIA and DXA in Hispanic-American adults with type 2 diabetes mellitus (T2DM). Methods: Cross-sectional study of a non-probabilistic sample of subjects over 18 years with type 2 diabetes. We used DXA as the reference method. Results: We evaluated the accuracy of FM estimation through BIA and DXA in 309 subjects with type 2 diabetes. Results showed a trend of overestimating the diagnosis of obesity using BIA, especially in individuals with a higher fat mass index (FMI). At the group level, we found BIA accurate; however, at the individual level, it is not. The bias between the 2 methods showed a statistically significant overestimation of body fat by BIA (P ⩽ .01) in both sexes. BIA demonstrated high precision in estimating fat mass. We were able to provide a correction factor of 0.55 kg in men. Conclusion: BIA is inaccurate compared to DXA for body composition assessment in patients with diabetes. Inaccurate measurements can result in misclassification. However, BIA is precise for body composition assessment in patients with diabetes, so it is reliable for tracking patient progress over time.

Indexed as

bioelectrical impedancebody fatDiabetesdual-energy X-ray absorptiometryfat mass

Identifiers

PMID39224772
PMCPMC11367586

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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.