Evidence map›Paper›PMID 33202580›Full record

ArticleJournal of clinical medicine2020

Validity of Bioimpedance Equations to Evaluate Fat-Free Mass and Muscle Mass in Severely Malnourished Anorectic Patients.

Moise Coëffier, Mathilde Gâté, Agnès Rimbert, André Petit, Vanessa Folope, Sébastien Grigioni, Pierre Déchelotte, Najate Achamrah

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

6 citing papers in PubMed, 11 citations in OpenAlex.

  1. Journal of functional morphology and kinesiology · 2026
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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

8 authors at 2 institutions in 1 country.

Moise CoëffierNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.ORCID 0000-0002-7469-2682
Mathilde GâtéNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Agnès RimbertNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
André PetitNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Vanessa FolopeNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Sébastien GrigioniNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Pierre DéchelotteNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Najate AchamrahNutrition Department, Rouen University Hospital Center, 76000 Rouen, France.
Inserm · FRUniversité de Rouen Normandie · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundBioelectrical impedance analysis (BIA) is a simple and rapid technique to measure body composition (BC). Validity of BIA in patients with low body mass index (BMI) remains controversial. We assessed the validity of several BIA equations to evaluate fat-free mass (FFM), fat mass (FM) and muscle mass in patients with anorexia nervosa (AN) by using dual X ray absorptiometry (DXA) as reference.

methodsSixteen BIA equations developed for FFM and appendicular lean mass (ALM) were applied on electrical data measured by BIA in AN patients with BMI <16 kg/m². BIA and DXA were done the same day after overnight fasting. Results were compared with the Bland-Altman method, Pearson correlation and a Lin concordance test.

resultsData from 115 female AN patients (14.6 ± 1.2 kg/m

conclusionIn AN patients with BMI < 16 kg/m², no BIA equation tested was adapted to evaluate BC at the individual level.

Indexed as

anorexia nervosaBioelectrical impedance analysis (BIA)body compositiondual X ray absorptiometry (DXA)predictive equations

Identifiers

PMID33202580
PMCPMC7698304
OpenAlexW3101680981

What OpenQuestion holds

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LicenceCC BY
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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.