Evidence map›Paper›PMID 37043140›Full record

ReviewReviews in endocrine & metabolic disorders2023

Future lines of research on phase angle: Strengths and limitations.

Diego Bellido, Cristina García-García, Antonio Talluri, Henry C Lukaski, José Manuel García-Almeida

Open access · bronzeAbstract readReview
In one paragraph

Review in Reviews in endocrine & metabolic disorders, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
118citing papers in PubMed, 1 pooled it
30.0field-weighted citation impact, top 1% 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

118 citing papers in PubMed, 1 synthesis or guideline pooled it, 171 citations in OpenAlex.

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  20. Journal of functional morphology and kinesiology · 2026
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58 more citing papers are in PubMed but not listed here.

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

5 authors at 4 institutions in 2 countries.

Diego BellidoDepartment of Endocrinology and Nutrition, Complejo Hospitalario de Ferrol, 15405, Ferrol, A Coruña, Spain.ORCID 0000-0003-0631-2710
Cristina García-GarcíaPhD Program in Biomedicine, Translational Research and New Health Technologies, Faculty of Medicine, Málaga University, 29010, Málaga, Spain.ORCID 0000-0002-1311-9970
Antonio TalluriPixelCanDo, Florence, Italy.ORCID 0000-0001-9399-5526
Henry C LukaskiDepartment of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, ND, 58202, USA.ORCID 0000-0002-5418-5851
José Manuel García-AlmeidaDepartment of Endocrinology and Nutrition, Virgen de La Victoria Hospital, Malaga University, 29010, Malaga, Spain. jgarciaalmeida@gmail.com.ORCID 0000-0001-8570-184X
Complejo Hospitalario Universitario de Ferrol · ESInstituto de Salud Carlos III · ESUniversidad de Málaga · ESUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis (BIA) is the most widely used technique in body composition analysis. When we focus the use of phase sensitive BIA on its raw parameters Resistance (R), Reactance (Xc) and Phase Angle (PhA), we eliminate the bias of using predictive equations based on reference models. In particular PhA, have demonstrated their prognostic utility in multiple aspects of health and disease. In recent years, as a strong association between prognostic and diagnostic factors has been observed, scientific interest in the utility of PhA has increased. In the different fields of knowledge in biomedical research, there are different ways of assessing the impact of a scientific-technical aspect such as PhA. Single frequency with phase detection bioimpedance analysis (SF-BIA) using a 50 kHz single frequency device and tetrapolar wrist-ankle electrode placement is the most widely used bioimpedance approach for characterization of whole-body composition. However, the incorporation of vector representation of raw bioelectrical parameters and direct mathematical calculations without the need for regression equations for the analysis of body compartments has been one of the most important aspects for the development of research in this area. These results provide new evidence for the validity of phase-sensitive bioelectrical measurements as biomarkers of fluid and nutritional status. To enable the development of clinical research that provides consistent results, it is essential to establish appropriate standardization of PhA measurement techniques. Standardization of test protocols will facilitate the diagnosis and assessment of the risk associated with reduced PhA and the evaluation of changes in response to therapeutic interventions. In this paper, we describe and overview the value of PhA in biomedical research, technical and instrumental aspects of PhA research, analysis of Areas of clinical research (cancer patients, digestive and liver diseases, critical and surgical patients, Respiratory, infectious, and COVID-19, obesity and metabolic diseases, Heart and kidney failure, Malnutrition and sarcopenia), characterisation of the different research outcomes, Morphofunctional assessment in disease-related malnutrition and other metabolic disorders: validation of PhA with reference clinical practice techniques, strengths and limitations. Based on the detailed study of the measurement technique, some of the key issues to be considered in future PhA research. On the other hand, it is important to assess the clinical conditions and the phenotype of the patients, as well as to establish a disease-specific clinical profile. The appropriate selection of the most critical outcomes is another fundamental aspect of research.

Indexed as

COVID-19MalnutritionBiomarkersBody CompositionElectric ImpedanceHumansNutritional StatusBiomarkersBioelectrical impedance vector analysisBody compositionMorphofunctional assessmentOutcome researchPhase anglePhase sensitive bioelectrical impedance analysis

Identifiers

PMID37043140
PMCPMC10090740
OpenAlexW4365135533

What OpenQuestion holds

Textmetadata
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.