Evidence map›Paper›PMID 30001381›Full record

ArticlePloS one2018

Comparison of body composition assessment by DXA and BIA according to the body mass index: A retrospective study on 3655 measures.

Najate Achamrah, Guillaume Colange, Julie Delay, Agnès Rimbert, Vanessa Folope, André Petit, Sébastien Grigioni, Pierre Déchelotte, Moïse Coëffier

Registry-linked trialAbstract readComparative Study
In one paragraph

Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06015620 (CoMOrbidities Resolution After Mini-GAstric Bypass Surgery for Morbid Obesity and Change in BOdy Composition), which is not on this map. Cited by 197 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
197citing papers in PubMed, 5 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.

NCT06015620 recruitingnot on this mapstarted 2023, after this paper: background citation

CoMOrbidities Resolution After Mini-GAstric Bypass Surgery for Morbid Obesity and Change in BOdy Composition: A Prospective Cohort Study (MOGAMBO Study)

TypeobservationalSponsorAll India Institute of Medical Sciences, BhubaneswarRan2023 to 2027Enrolled35ConditionsMorbid Obesity, Type2diabetes, Sleep Apnea, HypothyroidismArmsMini gastric bypass surgery
3 · Its place in the literature

Who cites it

197 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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137 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

9 authors.

Najate AchamrahNutrition Department, Rouen University Hospital Center, Rouen, France.ORCID 0000-0003-4941-0564
Guillaume ColangeNutrition Department, Rouen University Hospital Center, Rouen, France.
Julie DelayNutrition Department, Rouen University Hospital Center, Rouen, France.
Agnès RimbertNutrition Department, Rouen University Hospital Center, Rouen, France.
Vanessa FolopeNutrition Department, Rouen University Hospital Center, Rouen, France.
André PetitNutrition Department, Rouen University Hospital Center, Rouen, France.
Sébastien GrigioniNutrition Department, Rouen University Hospital Center, Rouen, France.
Pierre DéchelotteNutrition Department, Rouen University Hospital Center, Rouen, France.
Moïse CoëffierNutrition Department, Rouen University Hospital Center, Rouen, France.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND AND

aimsBody composition assessment is often used in clinical practice for nutritional evaluation and monitoring. The standard method, dual-energy X-ray absorptiometry (DXA), is hardly feasible in routine clinical practice contrary to Bioelectrical Impedance Analysis (BIA) method. We thus aimed to compare body composition assessment by DXA and BIA according to the body mass index (BMI) in a large cohort.

methodsRetrospectively, we analysed DXA and BIA measures in patients followed in a Nutrition Unit from 2010 to 2016. Body composition was assessed under standardized conditions in the morning, after a fasting period of 12 h, by DXA (Lunar Prodigy Advance) and BIA (Bodystat QuadScan 4000, Manufacturer's equation). Bland-Altman test was performed for each class of BMI (kg/m2) and fat mass and fat free mass values were compared using Kruskal-Wallis test. Pearson correlations were also performed and the concordance coefficient of Lin was calculated.

resultsWhatever the BMI, BIA and DXA methods reported higher concordance for values of FM than FFM. Body composition values were very closed for patients with BMI between 16 and 18,5 (difference < 1kg). For BMI > 18,5 and BMI < 40, BIA overestimated fat free mass from 3,38 to 8,28 kg, and underestimated fat mass from 2,51 to 5,67 kg compared with DXA method. For BMI ≥ 40, differences vary with BMI. For BMI < 16, BIA underestimated fat free mass by 2,25 kg, and overestimated fat mass by 2,57 kg. However, limits of agreement were very large either for FM and FFM values, irrespective of BMI.

conclusionThe small bias, particularly in patients with BMI between 16 and 18, suggests that BIA and DXA methods are interchangeable at a population level. However, concordance between BIA and DXA methods at the individual level is lacking, irrespective of BMI.

Indexed as

Absorptiometry, PhotonBody CompositionElectric ImpedanceAdultBody Mass IndexFemaleHumansMaleMiddle AgedRetrospective Studies

Identifiers

PMID30001381
PMCPMC6042744

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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.