Evidence map›Paper›PMID 33668451›Full record

ArticleJournal of clinical medicine2021

Changes in Body Composition Are Associated with Metabolic Changes and the Risk of Metabolic Syndrome.

Yun Hwan Oh, Seulggie Choi, Gyeongsil Lee, Joung Sik Son, Kyae Hyung Kim, Sang Min Park

Open access · goldAbstract read
In one paragraph

Article in Journal of clinical medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
32citing papers in PubMed, 1 pooled it
4.8field-weighted citation impact, top 4% 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

32 citing papers in PubMed, 1 synthesis or guideline pooled it, 55 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

6 authors at 3 institutions in 1 country.

Yun Hwan OhDepartment of Family Medicine, Jeju National University Hospital, Jeju 63241, Korea.
Seulggie ChoiDepartment of Biomedical Sciences, Graduate School, Seoul National University, Seoul 03080, Korea.
Gyeongsil LeeDepartment of Family Medicine, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0003-1910-9658
Joung Sik SonDepartment of Family Medicine, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0003-2460-3378
Kyae Hyung KimDepartment of Family Medicine, Seoul National University Hospital, Seoul 03080, Korea.ORCID 0000-0001-9954-6422
Sang Min ParkDepartment of Biomedical Sciences, Graduate School, Seoul National University, Seoul 03080, Korea.
Seoul National University Hospital · KRSeoul National University · KRJeju National University Hospital · KR

Funding

MD-Phd/Medical Scientist Training Program through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare .
6 · The paper itself

Abstract

In a cohort of 190,599 participants from The National Health Insurance Service-National Health Screening (NHIS-HEALS) study, we investigated the association of changes in the predicted body composition and metabolic profiles with the risk of metabolic syndrome (MetS) in the general population, which was hitherto incompletely elucidated. At baseline and follow-up examinations, the body composition, including lean body mass (LBM), body fat mass (BFM), and appendicular skeletal mass (ASM), were estimated using a prediction equation, and the risk of MetS was analyzed according to relative body composition changes. An increase in relative LBM and ASM decreased the risk of MetS in men and women (adjusted odds ratio (aOR), 0.78 and 0.80; 95% confidence interval (CI), 0.77-0.79 and 0.79-0.81, respectively; all

Indexed as

appendicular skeletal massbody compositionlean body massmetabolic syndrome

Identifiers

PMID33668451
PMCPMC7918782
OpenAlexW3131537058

What OpenQuestion holds

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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.