Evidence map›Paper›PMID 33077901›Full record

Observational studySpinal cord2021

Comparison of segmental lean tissue mass in individuals with spinal cord injury measured by dual energy X-ray absorptiometry and predicted by bioimpedance spectroscopy.

Katherine J Desneves, Maya G Panisset, Mary P Galea, Nicole Kiss, Robin M Daly, Leigh C Ward

Abstract readObservational Study
PubMed Publisher
In one paragraph

Observational study in Spinal cord, 2021. 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
1.2field-weighted citation impact, top 21% 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, 12 citations in OpenAlex.

  1. Article
  2. Observational
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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 at 3 institutions in 1 country.

Katherine J DesnevesDepartment of Nutrition and Dietetics, Austin Health, Heidelberg, VIC, Australia. kdesneves@deakin.edu.au.ORCID http://orcid.org/0000-0001-9224-3728
Maya G PanissetDepartment of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0002-8353-4061
Mary P GaleaDepartment of Medicine, Royal Melbourne Hospital, The University of Melbourne, Parkville, VIC, Australia.ORCID http://orcid.org/0000-0003-0045-7978
Nicole KissInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Robin M DalyInstitute for Physical Activity and Nutrition (IPAN), Deakin University, Geelong, VIC, Australia.
Leigh C WardSchool of Chemistry and Molecular Biosciences, The University of Queensland, St Lucia, QLD, Australia.ORCID http://orcid.org/0000-0003-2378-279X
Deakin University · AUThe Royal Melbourne Hospital · AUThe University of Queensland · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

STUDY

designObservational.

objectivesTo compare two methods for predicting segmental (arms, legs, trunk) lean tissue mass (LTM: non-bone fat-free mass) from bioimpedance spectroscopy (BIS) against LTM measured from dual energy X-ray absorptiometry (DXA) in individuals with acute spinal cord injury (SCI).

settingAustin Health Victorian Spinal Cord Service, Victoria, Australia.

methodsFourteen participants (two female), within 8 weeks of traumatic SCI had BIS measured following an overnight fast and within 24 h of DXA scanning. Total body fat-free mass (FFM, body weight minus fat mass) and segmental LTM were predicted from BIS using manufacturer's proprietary software and a previously established SCI-specific prediction method. Appendicular LTM (ALM) was calculated from the sum of the LTM of the arms and legs. Agreement and strength of relationships with DXA for predicted LTM measures using both approaches were assessed using Lin's concordance coefficient and limits of agreement analysis (LOA).

resultsThe BIS proprietary method performed better than the SCI-specific prediction method in predicting DXA LTM, demonstrating substantial concordance for total body FFM (rc = 0.80), ALM (rc = 0.78), arm (rc = 0.76) and leg LTM (rc = 0.65) and a smaller bias and LOA for ALM (+0.8 vs. -3.4 kg; LOA -4.9-6.4 vs. -11.9-5.1 kg), arm (+0.02 vs. -0.3 kg; LOA -1.1-1.1 kg vs. -2.2-1.6 kg) and leg (+0.4 vs. -1.4 kg; LOA -2.0-2.8 vs. -5.6-2.8) LTM.

conclusionsBIS can be used to accurately predict total body FFM, segmental LTM and ALM in individuals with acute SCI.

Indexed as

Body CompositionSpinal Cord InjuriesAbsorptiometry, PhotonElectric ImpedanceFemaleHumansMaleSpectrum AnalysisVictoria

Identifiers

PMID33077901
OpenAlexW3092919636

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.