Evidence map›Paper›PMID 39725814›Full record

ReviewAging clinical and experimental research2024

Comparison of bioelectrical impedance analysis and dual-energy X-ray absorptiometry for the diagnosis of sarcopenia in the older adults with metabolic syndrome: equipment-specific equation development.

Younji Kim, Jaewon Beom, Sang Yoon Lee, Hak Chul Jang, Keewon Kim, Miji Kim, Ga Yang Shim, Chang Won Won, Jae-Young Lim

Abstract readComparative StudyMulticenter StudyReview
In one paragraph

Review in Aging clinical and experimental research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 2 pooled it
–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

7 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Pooled it
  3. Trial
  4. Article
  5. Article
  6. Review
  7. 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

9 authors.

Younji KimDepartment of Rehabilitation Medicine, School of Medicine, Ewha Woman's University Seoul Hospital, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0003-4242-2642
Jaewon BeomDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea.ORCID http://orcid.org/0000-0001-7984-9661
Sang Yoon LeeDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, SMG-SNU Boramae Medical Center, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-2906-3094
Hak Chul JangDepartment of Internal Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, Seongnam, Republic of Korea.ORCID http://orcid.org/0000-0002-4188-6536
Keewon KimDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Hospital, Jongno-gu, Seongnam, Republic of Korea.ORCID http://orcid.org/0000-0001-6597-578X
Miji KimDepartment of Biomedical Science and Technology, College of Medicine, East-West Medical Research Institute, Kyung Hee University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-0852-8825
Ga Yang ShimDepartment of Physical Medicine & Rehabilitation, College of Medicine, Kyung Hee University, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-0475-311X
Chang Won WonDepartment of Family Medicine, College of Medicine, Kyung Hee University, Kyung Hee University Medical Center, Seoul, Republic of Korea.ORCID http://orcid.org/0000-0002-6429-4461
Jae-Young LimDepartment of Rehabilitation Medicine, Seoul National University College of Medicine, Seoul National University Bundang Hospital, 82, Gumi-ro 173beon-gil, Bundang-gu, Seongnam-si, Gyeonggi-do, 13620, Republic of Korea. drlim1@snu.ac.kr.ORCID http://orcid.org/0000-0002-9454-0344

Funding

Ministry of Health and Welfare RS-2020-KH095863
6 · The paper itself

Abstract

objectiveMetabolic syndrome (MetS) and sarcopenia together pose significant health risks, increasing frailty, falls, and fractures in older adults. This study compared muscle mass measurements obtained using two different dual-energy X-ray absorptiometry (DXA) machines and bioelectrical impedance analysis (BIA), and evaluated the accuracy of these measurements in these older adults.

methodsIn this prospective multicenter cohort study, patients aged ≥ 65 years with MetS had their muscle mass assessed using both BIA and DXA. Two DXA devices, Hologic Horizon and GE Lunar Prodigy, were used as clinical standards for sarcopenia diagnosis. Statistical analyses generated equations for transforming BIA results to match those from DXA, enhancing comparability.

resultsParticipants had a mean age of 73.2 ± 5.3 years. The mean appendicular skeletal muscle mass (ASM) measured by BIA and DXA was 19.7 ± 3.1 kg (BIA) and 18.1 ± 2.9 kg (DXA) for males, and 13.7 ± 2.2 kg (BIA) and 12.6 ± 1.8 kg (DXA) for females. Device-specific equations were developed to estimate DXA-measured ASM based on BIA results. These equations are presented for all participants and for each DXA device, highlighting significant differences in prediction models between the two DXA machines.

conclusionThe study developed device-specific equations for sarcopenia diagnosis in older adults with MetS, highlighting substantial differences between Hologic and GE Lunar devices. While BIA may offer a more accessible alternative to DXA, the variation in prediction formulas underscores the need for standardized equipment to ensure consistency in sarcopenia diagnosis.

Indexed as

Absorptiometry, PhotonElectric ImpedanceMetabolic SyndromeSarcopeniaAgedAged, 80 and overBody CompositionFemaleHumansMaleMuscle, SkeletalProspective StudiesBioelectrical impedanceDiagnostic equipmentDual-energy X-ray absorptiometryMetabolic syndromeSarcopenia

Identifiers

PMID39725814
PMCPMC11671549

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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.