Evidence map›Paper›PMID 26700167›Full record

ArticlePloS one2015

Ultrasound-Derived Abdominal Muscle Thickness Better Detects Metabolic Syndrome Risk in Obese Patients than Skeletal Muscle Index Measured by Dual-Energy X-Ray Absorptiometry.

Ayumi Ido, Yuki Nakayama, Kojiro Ishii, Motoyuki Iemitsu, Koji Sato, Masahiro Fujimoto, Toshiyuki Kurihara, Takafumi Hamaoka, Noriko Satoh-Asahara, Kiyoshi Sanada

Open access · goldAbstract readComparative Study
In one paragraph

Article in PloS one, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

13 citing papers in PubMed, 31 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

10 authors at 4 institutions in 1 country.

Ayumi IdoCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Yuki NakayamaCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Kojiro IshiiFaculty of Health and Sports Science, Doshisha University, Kyoto, Japan.
Motoyuki IemitsuCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Koji SatoCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Masahiro FujimotoCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Toshiyuki KuriharaCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Takafumi HamaokaDepartment of Sports Medicine for Health Promotion, Tokyo Medical University, Tokyo Japan.
Noriko Satoh-AsaharaDivision of Diabetic Research, Clinical Research Institute, National Hospital Organization Kyoto Medical Center, Kyoto, Japan.
Kiyoshi SanadaCollege of Sport and Health Science, Ritsumeikan University, Shiga, Japan.
Ritsumeikan University · JPDoshisha University · JPKyoto Medical Center · JPTokyo Medical University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Sarcopenia has never been diagnosed based on site-specific muscle loss, and little is known about the relationship between site-specific muscle loss and metabolic syndrome (MetS) risk factors. To this end, this cross-sectional study aimed to investigate the relationship between site-specific muscle size and MetS risk factors. Subjects were 38 obese men and women aged 40-82 years. Total body fat and lean body mass were assessed by whole-body dual-energy X-ray absorptiometry (DXA) scan. Muscle thickness (MTH) was measured using B-mode ultrasound scanning in six body regions. Subjects were classified into general obesity (GO) and sarcopenic obesity (SO) groups using the threshold values of one standard deviation below the sex-specific means of either MTH or skeletal muscle index (SMI) measured by DXA. MetS risk score was acquired by standardizing and summing the following continuously distributed variables: visceral fat area, mean blood pressure, HbA1c, and serum triglyceride / high density lipoprotein cholesterol, to obtain the Z-score. Multiple regression analysis revealed that the MetS risk score was independently associated with abdominal MTH in all subjects, but not with MTH in other muscle regions, including the thigh. Although HbA1c and the number of MetS risk factors in the SO group were significantly higher than those in the GO group, there were no significant differences between GO and SO groups as defined by SMI. Ultrasound-derived abdominal MTH would allow a better assessment of sarcopenia in obese patients and can be used as an alternative to the conventionally-used SMI measured by DXA.

Indexed as

Abdominal MusclesAbsorptiometry, PhotonAdultAgedAged, 80 and overArterial PressureFemaleHumansMaleMetabolic SyndromeMiddle AgedObesityRegression AnalysisRisk FactorsUltrasonography

Identifiers

PMID26700167
PMCPMC4689364
OpenAlexW2213719944

What OpenQuestion holds

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LicenceCC BY
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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.