Evidence map›Paper›PMID 38883602›Full record

ArticleFrontiers in endocrinology2024

Bioelectrical impedance parameters add incremental value to waist-to-hip ratio for prediction of metabolic dysfunction associated steatotic liver disease in youth with overweight and obesity.

Kyungchul Song, Eun Gyung Seol, Hyejin Yang, Soyoung Jeon, Hyun Joo Shin, Hyun Wook Chae, Eun-Kyung Kim, Yu-Jin Kwon, Ji-Won Lee

Abstract read
In one paragraph

Article in Frontiers in endocrinology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Article
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  3. Review
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  6. Review
  7. Identification of pediatric MASLD using insulin resistance indices.JHEP reports : innovation in hepatology · 2025
    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

9 authors.

Kyungchul SongDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eun Gyung SeolDepartment of Pediatrics, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Hyejin YangBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Soyoung JeonBiostatistics Collaboration Unit, Yonsei University College of Medicine, Seoul, Republic of Korea.
Hyun Joo ShinDepartment of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Hyun Wook ChaeDepartment of Pediatrics, Yonsei University College of Medicine, Seoul, Republic of Korea.
Eun-Kyung KimDepartment of Radiology, Research Institute of Radiological Science and Center for Clinical Imaging Data Science, Yongin Severance Hospital, Yonsei University College of Medicine, Yongin-si, Republic of Korea.
Yu-Jin KwonDepartment of Family Medicine, Yonsei University College of Medicine, Yongin Severance Hospital, Yongin-si, Republic of Korea.
Ji-Won LeeDepartment of Family Medicine, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Metabolic dysfunction-associated steatotic liver disease (MASLD) presents a growing health concern in pediatric populations due to its association with obesity and metabolic syndrome. Bioelectrical impedance analysis (BIA) offers a non-invasive and potentially effective alternative for identifying MASLD risk in youth with overweight or obesity. Therefore, this study aimed to assess the utility of BIA for screening for MASLD in the youth. Method: This retrospective, cross-sectional study included 206 children and adolescents aged <20 years who were overweight and obese. The correlations between anthropometric measurements and BIA parameters and alanine aminotransferase (ALT) levels were assessed using Pearson's correlation analysis. Logistic regression analysis was performed to examine the associations between these parameters and ALT level elevation and MASLD score. Receiver operating characteristic (ROC) curves were generated to assess the predictive ability of the parameters for MASLD. Results: Pearson's correlation analysis revealed that waist-to-hip ratio (WHR), percentage body fat (PBF), and BIA parameters combined with anthropometric measurements were correlated with ALT level. Logistic regression revealed that WHR, skeletal muscle mass/WHR, PBF-WHR, fat-free mass/WHR, and appendicular skeletal muscle mass/WHR were correlated with ALT level elevation after adjusting for age, sex, and puberty. WHR, PBF-WHR, and visceral fat area (VFA)-WHR were positively correlated with the MASLD score in the total population after adjusting for age, sex, and puberty. PBF-WHR and VFA-WHR were correlated with the MASLD score even in youth with a normal ALT level. The cutoff points and area under the ROC curves were 34.6 and 0.69 for PBF-WHR, respectively, and 86.6 and 0.79 for VFA-WHR, respectively. Discussion: This study highlights the utility of combining BIA parameters and WHR in identifying the risk of MASLD in overweight and obese youth, even in those with a normal ALT level. BIA-based screening offers a less burdensome and more efficient alternative to conventional MASLD screening methods, facilitating early detection and intervention in youth at risk of MASLD.

Indexed as

Electric ImpedanceOverweightWaist-Hip RatioAdolescentBody CompositionBody Mass IndexChildCross-Sectional StudiesFatty LiverFemaleHumansMaleMetabolic SyndromePediatric ObesityPrognosisRetrospective Studiesadolescentbioelectric impedancechildmetabolic dysfunction associated steatotic liver diseaseobesity

Identifiers

PMID38883602
PMCPMC11177119

What Socratic holds

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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 Socratic graph.