Evidence map›Paper›PMID 32581564›Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2020

Optimal Cut-Offs of Body Mass Index and Waist Circumference to Identify Obesity in Chinese Type 2 Diabetic Patients.

Qinying Zhao, Xiangjun Chen, Jinshan Wu, Lilin Gong, Jinbo Hu, Shumin Yang, Qifu Li, Zhihong Wang

Abstract read
In one paragraph

Article in Diabetes, metabolic syndrome and obesity : targets and therapy, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

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4citing papers in PubMed
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1 · What the graph read from it

What it found

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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.

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3 · Its place in the literature

Who cites it

4 citing papers in PubMed.

  1. Article
  2. Article
  3. Review
  4. Lower Visceral Fat Area in Patients with Type 2 Diabetic Peripheral Neuropathy.Diabetes, metabolic syndrome and obesity : targets and therapy · 2022
    Article
4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Qinying Zhao *Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Xiangjun Chen *Department of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Jinshan WuDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Lilin GongDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Jinbo HuDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Shumin YangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Qifu LiDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.
Zhihong WangDepartment of Endocrinology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, People's Republic of China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe prevalence of general obesity (commonly defined by body mass index (BMI) in kg/m PATIENTS AND

methodsBMI and WC were obtained from 1539 type 2 diabetic patients. Body fat percentage and visceral fat area measured by dual-energy x-ray absorptiometry were set as the gold standard to identify general and abdominal obesity. We assessed the diagnostic power of traditional cut-offs for BMI and WC to define obesity, and analyzed receive operating characteristic (ROC) curves to obtain the optimal cut-offs to identify obesity in Chinese type 2 diabetic patients.

resultsIn Chinese type 2 diabetic patients, the optimal BMI was 25 kg/m

conclusionFor the Chinese patients with type 2 diabetes, the optimal cut-offs for BMI or WC to identify general or abdominal obesity need to be reconsidered.

Indexed as

body mass indexdiagnostic testdual-energy X-ray absorptiometrytype 2 diabeteswaist circumference

Identifiers

PMID32581564
PMCPMC7278219

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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.