Evidence map›Paper›PMID 38794777›Full record

ArticleNutrients2024

Bioelectrical Impedance Vector Analysis, Nutritional Ultrasound

Jose M Romero-Márquez, María Novo-Rodríguez, Cristina Novo-Rodríguez, Víctor Siles-Guerrero, Isabel Herrera-Montes, Francisco Garzón Navarro-Pelayo, Martín López-de-la-Torre-Casares, Araceli Muñoz-Garach

Abstract read
In one paragraph

Article in Nutrients, 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.

  1. Article
  2. Article
  3. Article
  4. Observational
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.

Jose M Romero-MárquezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.ORCID 0000-0001-7033-969X
María Novo-RodríguezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Cristina Novo-RodríguezDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Víctor Siles-GuerreroDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Isabel Herrera-MontesDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Francisco Garzón Navarro-PelayoEating Disorders Hospital Unit, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Martín López-de-la-Torre-CasaresDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.
Araceli Muñoz-GarachDepartment of Endocrinology and Nutrition, Virgen de las Nieves University Hospital, 18014 Granada, Spain.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Eating disorders (EDs) manifest as persistent disruptions in eating habits or related behaviors, significantly impacting physical health and psychosocial well-being. Nutritional assessment in ED patients is crucial for monitoring treatment efficacy. While dual-energy X-ray absorptiometry (DEXA) remains standard, interest in alternative methods such as bioelectrical impedance vector analysis (BIVA) and Nutritional Ultrasound

Indexed as

Anorexia NervosaBody CompositionElectric ImpedanceHand StrengthNutritional StatusNutrition AssessmentUltrasonographyAdolescentAdultFemaleHumansPilot ProjectsProspective StudiesRecovery of FunctionYoung Adultadipose tissueanorexia nervosaanthropometricBIVAbody compositiondynamometerfat massHGSmuscle massnutritionrectus femoris

Identifiers

PMID38794777
PMCPMC11123858

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.