Evidence map›Paper›PMID 34758864›Full record

ArticleDiabetology & metabolic syndrome2021

The association between fat-to-muscle ratio and metabolic disorders in type 2 diabetes.

Dixing Liu, Jiana Zhong, Yuting Ruan, Zhen Zhang, Jia Sun, Hong Chen

Open access · goldAbstract read
In one paragraph

Article in Diabetology & metabolic syndrome, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

24 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

6 authors at 1 institution in 1 country.

Dixing LiuDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, 253 industrial avenue, Guangzhou, 510282, Guangdong, China.
Jiana ZhongDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, 253 industrial avenue, Guangzhou, 510282, Guangdong, China.
Yuting RuanDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, 253 industrial avenue, Guangzhou, 510282, Guangdong, China.
Zhen ZhangDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, 253 industrial avenue, Guangzhou, 510282, Guangdong, China.
Jia SunDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, 253 industrial avenue, Guangzhou, 510282, Guangdong, China. sunjia@smu.edu.cn.
Hong ChenDepartment of Endocrinology, Zhujiang Hospital, Southern Medical University, 253 industrial avenue, Guangzhou, 510282, Guangdong, China. chenhong123@smu.edu.cn.ORCID http://orcid.org/0000-0002-6317-9955
Zhujiang Hospital · CN

Funding

basic and applied basic research foundation of guangdong province 2019A1515110658guangdong medical science and technology research foundation 20181031141744728guangzhou science and technology program project, china 201803040012national natural science foundation of china 81770835the key-area research and development program of guangdong, china 2019B020230001
6 · The paper itself

Abstract

backgroundAltered body composition is known to be related to abnormal metabolism. The aim of this study was to determine the association between the fat-to-muscle ratio (FMR) and metabolic disorders in type 2 diabetes (T2DM) population.

methodIn total, 361 T2DM participants aged ≥ 18 years were included in our research. A bioelectrical impedance analyzer was applied to measure fat mass and muscle mass. FMR was calculated as body fat mass (kg) divided by muscle mass (kg). The performance of FMR to assess metabolic disorders in T2DM was conducted using ROC curves. The independent association between FMR and metabolic syndrome (MS) was tested by logistic regression analysis.

resultsThe FMR was significantly higher in patients with MS than in those without MS (p < 0.001). The optimal FMR cutoff point for identifying MS was higher in females than in males (0.465 vs. 0.296, respectively). In addition, the areas under the ROC curve (AUCs) for the evaluation of MS by FMR, fat mass, muscle mass, BMI and waist circumference were further compared, indicating that the AUC of FMR (0.843) was the largest among the five variables in females, but the AUC of waist circumference (0.837) was still the largest among other variables in males. Based on the derived FMR cutoff point, patients with a high FMR exhibited more cardiometabolic risk indicators (all p < 0.05). Using a low FMR as a reference, the relative risk of a high FMR for MS was 2.861 (95% CI 1.111-7.368, p = 0.029) in males and 9.518 (95% CI 2.615-34.638, p = 0.001) in females following adjustment for confounding factors.

conclusionsThe fat-to-muscle ratio is independently and positively associated with metabolic disorders in T2DM. FMR may serve as an optimal method for screening T2DM patients coupled with a high risk of abnormal metabolism, especially in females, providing a new perspective for the prevention and treatment of cardiovascular complications in Chinese type 2 diabetes.

Indexed as

Body compositionFat-to-muscle ratioMetabolic disordersType 2 diabetes mellitus

Identifiers

PMID34758864
PMCPMC8579541
OpenAlexW3213519028

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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.