Evidence map›Paper›PMID 30974817›Full record

ReviewNutrients2019

Classification of Hydration in Clinical Conditions: Indirect and Direct Approaches Using Bioimpedance.

Henry C Lukaski, Nicanor Vega Diaz, Antonio Talluri, Lexa Nescolarde

Registry-linked trialOpen access · goldAbstract readReview
In one paragraph

Review in Nutrients, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05188131 (Acute Neuroendocrine Response to Intravenous Infusion of Diclofenac Sodium), which is not on this map. Cited by 83 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
83citing papers in PubMed, 2 pooled it
10.2field-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.

NCT05188131 phase4completednot on this mapstarted 2021, after this paper: background citation

Acute Neuroendocrine Response to Intravenous Infusion of Diclofenac Sodium

TypeinterventionalSponsorA.O.U. Città della Salute e della ScienzaRan2021 to 2021Enrolled12ConditionsHypopituitarismArmsIntravenous Infusion of Diclofenac Sodium, Intravenous Infusion of Placebo
3 · Its place in the literature

Who cites it

83 citing papers in PubMed, 2 syntheses or guidelines pooled it, 160 citations in OpenAlex.

  1. Pooled it
  2. Phase angle and COVID-19: A systematic review with meta-analysis.Reviews in endocrine & metabolic disorders · 2023
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23 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

4 authors at 3 institutions in 2 countries.

Henry C LukaskiDepartment of Kinesiology and Public Health Education, University of North Dakota, Grand Forks, ND 58202-7166, USA. henry.lukaski@und.edu.
Nicanor Vega DiazNephrology Service, University Hospital of Grand Canary and Faculty of Science, University Los Palmas, 35019 Los Palmas, Grand Canary, Spain. nvegdia@gobiernodecanarias.org.
Antonio TalluriAntonio Talluri, Fatbyte, Inc., 50012 Bagno a Ripoli, Florence, Italy. info@fatbytesrl.com.
Lexa NescolardeDepartment of Electronic Engineering, Universitat Politècnica de Catalunya, 08034 Barcelona, Spain. lexa.nescolarde@upc.edu.
Universidad de Las Palmas de Gran Canaria · ESUniversitat Politècnica de Catalunya · ESUniversity of North Dakota · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Although the need to assess hydration is well recognized, laboratory tests and clinical impressions are impractical and lack sensitivity, respectively, to be clinically meaningful. Different approaches use bioelectrical impedance measurements to overcome some of these limitations and aid in the classification of hydration status. One indirect approach utilizes single or multiple frequency bioimpedance in regression equations and theoretical models, respectively, with anthropometric measurements to predict fluid volumes (bioelectrical impedance spectroscopy-BIS) and estimate fluid overload based on the deviation of calculated to reference extracellular fluid volume. Alternatively, bioimpedance vector analysis (BIVA) uses direct phase-sensitive measurements of resistance and reactance, measured at 50 kHz, normalized for standing height, then plotted on a bivariate graph, resulting in a vector with length related to fluid content, and direction with phase angle that indexes hydration status. Comparison with healthy population norms enables BIVA to classify (normal, under-, and over-) and rank (change relative to pre-treatment) hydration independent of body weight. Each approach has wide-ranging uses in evaluation and management of clinical groups with over-hydration with an evolving emphasis on prognosis. This review discusses the advantages and limitations of BIS and BIVA for hydration assessment with comments on future applications.

Indexed as

Models, TheoreticalOrganism Hydration StatusAnthropometryBody WaterDielectric SpectroscopyElectric ImpedanceFemaleHumansMaleRegression AnalysisWater-Electrolyte Imbalancebioelectrical impedance spectroscopybioelectrical impedance vector analysisfluid overloadmalnutritionreactanceresistance

Identifiers

PMID30974817
PMCPMC6521329
OpenAlexW2936022443

What OpenQuestion holds

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Read underepoch 390

Registered trials

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.