Evidence map›Paper›PMID 36275078›Full record

ArticleThe Journal of the Canadian Chiropractic Association2022

The utility of bioelectrical impedance analysis in the diagnosis of sarcopenia: a systematic review.

Ben Csiernik, Michael Edgar, Chris DeGraauw, Scott Howitt, Sheilah Hogg-Johnson

Open access · greenAbstract read
In one paragraph

Article in The Journal of the Canadian Chiropractic Association, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

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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 at 2 institutions in 2 countries.

Ben CsiernikCanadian Memorial Chiropractic College.
Michael EdgarCanadian Memorial Chiropractic College.
Chris DeGraauwCanadian Memorial Chiropractic College.
Scott HowittCanadian Memorial Chiropractic College.
Sheilah Hogg-JohnsonCanadian Memorial Chiropractic College.
Canadian Memorial Chiropractic College · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Context: Sarcopenia is a prevalent syndrome that has seen increased awareness in the last twenty years. Objective: To systematically assess and evaluate the utility of bioelectrical impedance analysis (BIA) in the diagnosis of sarcopenia in adults over the age of 60. Methods: An electronic search strategy of databases was conducted, including Cochrane Central Register of Controlled Trials (CENTRAL), MEDLINE, EMBASE, CINAHL, and SportDiscus. Included articles were evaluated using The Quality Appraisal for Reliability Studies (QAREL) checklist. Results: Seven articles (1336 participants) met the inclusion criteria of evaluating the diagnostic ability of BIA. Results indicate that that there is a high degree of heterogeneity in how BIA is used to diagnose sarcopenia. While BIA is an affordable and easy to use measurement tool, it does not consistently demonstrate high levels of diagnostic sensitivity. Conclusion: The current evidence does not consistently support the utility of BIA as an accurate diagnostic tool for sarcopenia in adults over 60. If utilizing BIA, clinicians should select a validated BIA equation for their patient's demographics. Clinicians should also consider the use of functional tests and validated screening questionnaires.

Indexed as

agingbioelectrical impedancedépistagediagnosisdiagnosticexamen systématiqueimpédance bioélectriquesarcopeniasarcopéniescreeningsystematic reviewvieillissement

Identifiers

PMID36275078
PMCPMC9512302
OpenAlexW4307233892

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.