Evidence map›Paper›PMID 38273013›Full record

ArticleScientific reports2024

Cutoffs of different body measurement indexes of central obesity in patients with type 2 diabetes.

Ai Luo, Zheng Tang, XiaoJia Xu, Chao Li, Die Zhou, Dong Xiao, Yongjie Lu, Rutao Liang, Guifen Guan, Wangen Li and 1 more

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

5 citing papers in PubMed, 5 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

11 authors at 3 institutions in 1 country.

Ai Luo *Department of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
Zheng Tang *Guangdong Medical University, Zhanjiang, 524000, China.
XiaoJia XuDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
Chao LiGuangdong Medical University, Zhanjiang, 524000, China.
Die ZhouDepartment of Laboratory, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
Dong XiaoDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
Yongjie LuSchool of Public Health, Guangzhou Medical University, Guangzhou, 510220, China.
Rutao LiangGuangdong Medical University, Zhanjiang, 524000, China.
Guifen GuanDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China.
Wangen LiDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China. liwg660@126.com.
Zhuoqing HuDepartment of Endocrinology, The Second Affiliated Hospital of Guangzhou Medical University, Guangzhou, 510220, China. hzq7744@163.com.
Guangzhou Medical University · CNSecond Affiliated Hospital of Guangzhou Medical University · CNGuangdong Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Few research discuss whether the body measurement indexs of obesity in general populations is applicable to patients with type 2 diabetes. We explore the optimal cutoffs of visceral fat area (VFA) and subcutaneous fat area (SFA) in the diagnosis of central obesity and the cutoffs of corresponding waist circumference (WC) and body mass index (BMI) in patients with Type 2 Diabetes (T2D). Cross-sectional cohort study. 1057 patients with T2D (550 males and 507 females) aged 18 or above that satisfied the criteria were included. The definition and diagnostic criteria of Metabolic syndrome (Mets) were analyzed according to the 2020 Chinese Diabetes Society (CDS) Guideline. The VFA and SFA were measured by bioelectrical impedance analysis (BIA). The optimal VFA and SFA cutoffs and corresponding WC and BMI when two or more nonadipose components of MetS (without central obesity) were met were analyzed by ROC curve. Among all of the T2D patients, the optimal VFA cutoff for identifying two or more nonadipose components of MetS was 73.30 cm

Indexed as

Diabetes Mellitus, Type 2Metabolic SyndromeBody Mass IndexCross-Sectional StudiesFemaleHumansIntra-Abdominal FatMaleObesityObesity, AbdominalRisk FactorsWaist Circumference

Identifiers

PMID38273013
PMCPMC10811333
OpenAlexW4391228944

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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.