Evidence map›Paper›PMID 39812907›Full record

ArticleInternal and emergency medicine2025

Raw bioelectrical impedance parameters and vector analysis in the screening of low muscle mass and low muscle mass associated with obesity in adult healthy subjects.

Salam Bennouar, Abdelghani Bachir Cherif, Nabil Raaf, Hadda Meroua Hani, Amel Kessira, Samia Abdi

Abstract read
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Article in Internal and emergency medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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

2 citing papers in PubMed.

  1. Indirect estimates of cellular hydration and relative water content and their associations with muscle strength and physical function in older adults: a path analysis from the Pro-Eva study.European review of aging and physical activity : official journal of the European Group for Research into Elderly and Physical Activity · 2026
    Article
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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

6 authors.

Salam BennouarCentral Laboratory of Clinical Biology, Frantz Fanon Hospital, University Hospital Center of Blida, 9000, Blida, Algeria. salambennouar@gmail.com.ORCID 0000-0001-7414-6721
Abdelghani Bachir CherifDepartment of Internal Medicine, University Hospital Center of Blida, 9000, Blida, Algeria.
Nabil RaafUniversity of Algiers, 16000, Algiers, Algeria.
Hadda Meroua HaniUniversity of Blida 1, 9000, Blida, Algeria.
Amel KessiraDepartment of Hemobiology and Blood Transfusion, University Hospital Center of Annaba, 23000, Annaba, Algeria.
Samia AbdiCentral Laboratory of Clinical Biology, Frantz Fanon Hospital, University Hospital Center of Blida, 9000, Blida, Algeria.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The aim was to estimate the prevalence of low muscle mass (LMM) and low muscle mass associated with obesity (LMM-O) in healthy adult, and to verify the performance of raw bioelectrical impedance parameters (BIA) and vector analysis (BIVA) in the screening of this tow conditions. This is a cross-sectional study including 1025 healthy adults. Body composition was assessed by the BIA technique. The appendicular skeletal muscle mass index (ASMMI) and body fat percentage (BF%) were used for the screening of LMM and LMM-O. The raw BIA parameters were: resistance (R), reactance (X

Indexed as

Electric ImpedanceMass ScreeningMuscle, SkeletalObesityAdultBody CompositionBody Mass IndexCross-Sectional StudiesFemaleHealthy VolunteersHumansMaleMiddle AgedROC CurveAnthropometryBioelectrical impedanceBIVALow muscle massLow muscle mass–obesityRX c graph

Identifiers

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Registered trials

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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.