Evidence map›Paper›PMID 36091228›Full record

ArticleFrontiers in nutrition2022

External validation of BIA equations to estimate appendicular skeletal muscle mass in older adults: Importance of the bias analysis and derivation of correction factors to achieve agreement.

María Cáñez-Ríos, Julián Esparza-Romero, Rogelio González-Arellanes, Maribel Ramírez-Torres, Guadalupe Figueroa-Pesqueira, René Urquidez-Romero, Diana Beatriz Rangel-Peniche, Heliodoro Alemán-Mateo

Open access · goldAbstract read
In one paragraph

Article in Frontiers in nutrition, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 28% of its field
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

8 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Article
  5. Article
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  7. Article
  8. Phase angle, muscle tissue, and resistance training.Reviews in endocrine & metabolic disorders · 2023
    Review
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

8 authors at 4 institutions in 1 country.

María Cáñez-RíosCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Hermosillo, Mexico.
Julián Esparza-RomeroCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Hermosillo, Mexico.
Rogelio González-ArellanesDepartamento de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Mexico.
Maribel Ramírez-TorresCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Hermosillo, Mexico.
Guadalupe Figueroa-PesqueiraCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Hermosillo, Mexico.
René Urquidez-RomeroDepartamento de Ciencias de la Salud, Instituto de Ciencias Biomédicas, Universidad Autónoma de Ciudad Juárez, Ciudad Juárez, Mexico.
Diana Beatriz Rangel-PenicheFacultad de Ciencias Naturales, Licenciatura y Maestría en Nutrición, Campus Juriquilla, Universidad Autónoma de Querétaro, Querétaro, Mexico.
Heliodoro Alemán-MateoCoordinación de Nutrición, Centro de Investigación en Alimentación y Desarrollo (CIAD), A.C., Hermosillo, Mexico.
Centro de Investigación en Alimentación y Desarrollo · MXUniversidad Autónoma de Ciudad Juárez · MXAutonomous University of Queretaro · MXUniversidad de Sonora · MX

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are several equations based on bioelectrical impedance analysis (BIA) to estimate with high precision appendicular skeletal muscle mass (ASM). However, most of the external validation studies have reported that these equations are inaccurate or biased when applied to different populations. Furthermore, none of the published studies has derived correction factors (CFs) in samples of community-dwelling older adults, and none of the published studies have assessed the influence of the dual-energy X-ray absorptiometry (DXA) model on the validation process. This study assessed the agreement between six BIA equations and DXA to estimate ASM in non-Caucasian older adults considering the DXA model and proposed a CF for three of them. This analysis included 547 non-institutionalized subjects over 60 years old from the northwest of Mexico who were physically independent and without cognitive impairment: 192 subjects were measured using DXA Hologic, while 355 were measured by DXA Lunar. The agreement between each of the equations and DXA was tested considering the DXA model used as a reference method for the design of each equation, using the Bland and Altman procedure, a paired

Indexed as

appendicular skeletal muscle massbioimpedance analysisdual-energy X-ray absorptiometryexternal validationnon-Caucasian older adultspredictive equations

Identifiers

PMID36091228
PMCPMC9454307
OpenAlexW4293051970

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

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.