Evidence map›Paper›PMID 35369072›Full record

ArticleFrontiers in nutrition2022

Development and Cross-Validation of a Predictive Equation for Fat-Free Mass in Brazilian Adolescents by Bioelectrical Impedance.

Roberto Fernandes da Costa, Analiza M Silva, Kalina Veruska da Silva Bezerra Masset, Tatianny de Macêdo Cesário, Breno Guilherme de Araújo Tinoco Cabral, Gerson Ferrari, Paulo Moreira Silva Dantas

Erratum issuedOpen 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. An erratum has been issued. Cited by 9 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed, 2 pooled it
2.0field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Review
  5. Article
  6. Article
  7. Article
  8. Article
  9. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 3 countries.

Roberto Fernandes da CostaPhysical Education Department, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil.
Analiza M SilvaExercise and Health Laboratory, CIPER, Faculdade Motricidade Humana, Universidade de Lisboa, Lisbon, Portugal.
Kalina Veruska da Silva Bezerra MassetPhysical Education Department, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil.
Tatianny de Macêdo CesárioPhysical Education Department, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil.
Breno Guilherme de Araújo Tinoco CabralPhysical Education Department, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil.
Gerson FerrariEscuela de Ciencias de la Actividad Física, el Deporte y la Salud, Universidad de Santiago de Chile (USACH), Santiago, Chile.
Paulo Moreira Silva DantasPhysical Education Department, Health Sciences Center, Federal University of Rio Grande do Norte, Natal, Brazil.
Universidade Federal do Rio Grande do Norte · BRCatholic University of the Maule · CLUniversity of Lisbon · PT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The bioelectrical impedance analysis (BIA) is one of the most commonly used techniques for assessing body composition in a clinical setting and in field approaches, as it has the advantages of easy application, fast, and non-invasive, in addition to its relatively low cost. However, the available predictive equations need to be valid for the evaluated subjects. The aim of this study was to verify the validity of several published BIA equations in estimating fat-free mass (FFM) among Brazilian adolescents, in addition to developing and cross-validating a BIA equation to estimate FFM appropriate for Brazilian adolescents. This is a cross-sectional study with 257 adolescents (128 girls) aged 10-19 years, randomly divided into two groups, namely, development (

Indexed as

bioelectrical impedance analysis (BIA)body compositioncross-validationequationsfat-free mass (FFM)fat massmathematical models

Identifiers

PMID35369072
PMCPMC8969741
OpenAlexW4220888108

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.