Evidence map›Paper›PMID 36996063›Full record

Trial reportPloS one2023

Preliminary study on the application of bioimpedance analysis to measure the psoas major muscle in older adults.

Lee-Ping Chu, Kuen-Tsann Chen, Hsueh-Kuan Lu, Chung-Liang Lai, Hsing-Ching Huang, Kuen-Chang Hsieh

Open access · goldAbstract readRandomized Controlled Trial
In one paragraph

Trial report in PloS one, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.2field-weighted citation impact, top 50% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. Article
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 4 institutions in 1 country.

Lee-Ping ChuDepartment of Applied Math, National Chung Hsing University, Taichung, Taiwan.ORCID 0000-0002-4500-9936
Kuen-Tsann ChenDepartment of Applied Math, National Chung Hsing University, Taichung, Taiwan.
Hsueh-Kuan LuGeneral Education Center, National Taiwan University of Sport, Taichung, Taiwan.
Chung-Liang LaiDepartment of Physical Medicine and Rehabilitation, Puzi Hospital, Ministry of Health and Welfare, Chiayi, Taiwan.
Hsing-Ching HuangDepartment of Physical Medicine and Rehabilitation, Taichung Hospital, Ministry of Health and Welfare, Taichung, Taiwan.
Kuen-Chang HsiehDepartment of Research and Development, Starbia Meditek Co., Ltd, Taichung, Taiwan.ORCID 0000-0002-5330-9365
National Chung Hsing University · TWAsia University · TWMinistry of Health and Welfare · TWNational Taiwan University of Sport · TW

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

For the assessment of sarcopenia or other geriatric frailty syndromes, psoas major area may be one of the primary indicators. Aim to develop and cross-validate the psoas cross-sectional area estimation equation of L3-L4 of the elderly over 60 years old by bioelectrical impedance analysis (BIA). Ninety-two older adults with normal mobility were enrolled (47 females, 45 males), and were randomly divided into a modeling group (MG, n = 62) and validation group (VG, n = 30). Computed tomography (CT) was used to measure the psoas major area at the' L3-L4 lumbar vertebrae height as a predictor. Estimated variables were height (h), whole body impedance (Zwhole), whole body impedance index (h2/Zwhole, WBI), age, gender (female = 0, male = 1), and body weight (weight) by standing BIA. Relevant variables were estimated using stepwise regression analysis. Model performance was confirmed by cross-validation. BIA estimation equation for PMM obtained from the MG was: (PMMBIA = 0.183 h2/Z- 0.223 age + 4.443 gender + 5.727, r2 = 0.702, n = 62, SEE = 2.432 cm2, p < 0.001). The correlation coefficient r obtained by incorporating the VG data into the PMM equation was 0.846, and the LOA ranged from -4.55 to 4.75 cm2. PMMBIA and PMMCT both correlate highly with MG or VG with small LOA. The fast and convenient standing BIA for measuring PMM may be a promising method that is worth developing.

Indexed as

Body CompositionSarcopeniaAgedBody WeightChild, PreschoolElectric ImpedanceFemaleHumansMaleMiddle AgedPsoas MusclesRegression Analysis

Identifiers

PMID36996063
PMCPMC10062543
OpenAlexW4361267243

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.