Evidence map›Paper›PMID 33790605›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Optimal Cut-Off Values of Visceral Fat Area for Predicting Metabolic Syndrome Among Type 2 Diabetes Patients in Ningbo, China.

Xi Yang, Yi Lin, Guo-Dong Xu, Yan-Shu Chen, Ye Zhou, Jing Sun, Li Li

Registry-linked trialAbstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03811470 (China Diabetes Registry - a Prospective Cohort Study of Patients With Diabetes in National Metabolic Management Centers in China), which is not on this 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.

NCT03811470 recruitingnot on this map

China Diabetes Registry - a Prospective Cohort Study of Patients With Diabetes in National Metabolic Management Centers in China

Typeobservational_patient_registrySponsorGuang NingRan2017 to 2039Enrolled1,000,000ConditionsType 2 Diabetes Mellitus, Type1 Diabetes Mellitus, Monogenetic Diabetes, Pancreatogenic DiabetesArmsStandard diabetes management model in each MMC center
3 · Its place in the literature

Who cites it

9 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Lower Visceral Fat Area in Patients with Type 2 Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
  8. Article
  9. Association Between Dietary Salt and Plasma Glucose, Insulin and Hemoglobin ADiabetes, metabolic syndrome and obesity : targets and therapy · 2021
    Article
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

7 authors.

Xi Yang *Department of Nutrition, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China.ORCID 0000-0002-0116-7326
Yi Lin *Center for Health Economics, School of Economics, Faculty of Humanities and Social Sciences, University of Nottingham, Ningbo, Zhejiang Province, People's Republic of China.ORCID 0000-0003-4417-9455
Guo-Dong XuDepartment of Medical Records Statistics, Ningbo Medical Center Lihuili Hospital, Ningbo, Zhejiang Province, People's Republic of China.ORCID 0000-0002-6464-6164
Yan-Shu ChenDepartment of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China.ORCID 0000-0001-7339-6921
Ye ZhouDepartment of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China.ORCID 0000-0002-1576-069X
Jing SunMenzies Health Institute Queensland and School of Medicine, Griffith University, Gold Coast, Queensland, Australia.ORCID 0000-0002-0097-2438
Li LiDepartment of Endocrinology and Metabolism, Ningbo First Hospital, Ningbo, Zhejiang Province, People's Republic of China.ORCID 0000-0001-6301-3544

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveTo examine the optimal cut-off values of visceral fat area (VFA) for predicting metabolic syndrome (MetS) among type 2 diabetes (T2D) patients in Ningbo China.

methodsA total of 1017 subjects were selected from T2D patients who accepted standardized management by the National Standardized Metabolic Disease Management Center at Ningbo First Hospital from March 2018 to January 2020. Demography and medical information were collected through questionnaires. Regional adiposity was examined by a visceral fat analyzer using the dual bioelectrical impedance method.

resultsOverall, 769 (75.6%) T2D patients were defined to have MetS. Patients with MetS had higher anthropometric values and biomarkers, compared to those without MetS. VFA was significantly correlated with risk factors of MetS. Further logistic regression models showed that VFA was significantly associated with MetS in men (OR=1.02) and in women (OR=1.03) (P<0.001 for both genders) after controlling for related factors. Receiver-operating characteristic curve analysis demonstrated that the optimal cut-off values of VFA were 84.7 cm

conclusionVFA was associated with MetS and could be an independent predictor of MetS in T2D patients. CLINICAL

trial registrationwww.ClinicalTrials.gov, number: NCT03811470.

Indexed as

abdominal obesitymetabolic syndrometype 2 diabetesvisceral fat area

Identifiers

PMID33790605
PMCPMC8006810

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Registered trials

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.