Evidence map›Paper›PMID 29299309›Full record

ArticleJournal of nutritional science2017

Validation of bioelectrical impedance analysis in Ethiopian adults with HIV.

Maria H Hegelund, Jonathan C Wells, Tsinuel Girma, Daniel Faurholt-Jepsen, Dilnesaw Zerfu, Dirk L Christensen, Henrik Friis, Mette F Olsen

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Journal of nutritional science, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Trial
  2. Article
  3. Does Body Position Influence Bioelectrical Impedance? An Observational Pilot Study.International journal of environmental research and public health · 2022
    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 at 4 institutions in 3 countries.

Maria H HegelundDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Jonathan C WellsChildhood Nutrition Research Centre, Great Ormond Street Institute of Child Health, University College London, London, UK.
Tsinuel GirmaDepartment of Paediatrics and Child Health, Jimma University, Jimma, Ethiopia.
Daniel Faurholt-JepsenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
Dilnesaw ZerfuEthiopian Public Health Institute, Addis Ababa, Ethiopia.
Dirk L ChristensenDepartment of Public Health, University of Copenhagen, Copenhagen, Denmark.
Henrik FriisDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.ORCID 0000-0002-2848-2940
Mette F OlsenDepartment of Nutrition, Exercise and Sports, University of Copenhagen, Copenhagen, Denmark.
University of Copenhagen · DKEthiopian Public Health Institute · ETJimma University · ETUniversity College London · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Bioelectrical impedance analysis (BIA) is an inexpensive, quick and non-invasive method to determine body composition. Equations used in BIA are typically derived in healthy individuals of European descent. BIA is specific to health status and ethnicity and may therefore provide inaccurate results in populations of different ethnic origin and health status. The aim of the present study was to test the validity of BIA in Ethiopian antiretroviral-naive HIV patients. BIA was validated against the

Indexed as

African populationART, antiretroviral therapyBIA, bioelectrical impedance analysisBioelectrical impedance analysisBody compositionFFM, fat-free massFM, fat massHIV

Identifiers

PMID29299309
PMCPMC5736632
OpenAlexW2777852716

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.