Evidence map›Paper›PMID 30568268›Full record

SynthesisInternational journal of obesity (2005)2019

Validity of multi-frequency bioelectric impedance methods to measure body composition in obese patients: a systematic review.

Louise Becroft, Geraldine Ooi, Adrienne Forsyth, Susannah King, Audrey Tierney

Abstract readSystematic Review
PubMed Publisher
In one paragraph

Synthesis in International journal of obesity (2005), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 2 pooled it
–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

27 citing papers in PubMed, 2 syntheses or guidelines pooled it.

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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.

Louise BecroftNutrition Department, The Alfred, Melbourne, Victoria, Australia. l.becroft@alfred.org.au.
Geraldine OoiMonash University Department of Surgery, The Alfred, Melbourne, Victoria, Australia.
Adrienne ForsythDepartment of Rehabilitation, Nutrition and Sport, School of Allied Health, La Trobe University, Victoria, Australia.
Susannah KingNutrition Department, The Alfred, Melbourne, Victoria, Australia.
Audrey TierneyDepartment of Rehabilitation, Nutrition and Sport, School of Allied Health, La Trobe University, Victoria, Australia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveExcessive lean tissue loss following bariatric surgery may pose serious metabolic consequences. Accurate methods to assess body composition following bariatric surgery are required. This review aimed to investigate if multi-frequency bioelectric impedance (MF-BI) is a valid tool to determine body composition in obese patients.

methodsMEDLINE, EMBASE, CINAHL and CENTRAL databases were searched until March 2017. Included studies were published in English with obese (body mass index (BMI) ≥ 30 kg/m

resultsSixteen studies were eligible for inclusion. Sample sizes ranged from 15 to 157, with BMI 26-48 kg/m

conclusionsThis review found that MF-BI is reliable for use at a group level. Obese-specific adjustment of algorithms for MF-BI machines increases the accuracy of absolute measures of body composition in obese individuals, improving their utility in the clinical setting. Multiple variables contributed a lack of consistency among studies included, highlighting the need for more robust studies that control confounding variables to establish clear validity assessment.

Indexed as

Electric ImpedanceAbsorptiometry, PhotonAdiposityAdolescentAdultAgedBariatric SurgeryBody CompositionBody Mass IndexBody Weights and MeasuresFemaleHealth PersonnelHumansMaleMiddle AgedObesity

Identifiers

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.