Evidence map›Paper›PMID 24350301›Full record

ArticleJournal of diabetes research2013

Correlation of abdominal fat distribution with different types of diabetes in a Chinese population.

Anhui Zhu, Bin Cui, Haodan Dang, Dan Yao, Haitao Yu, Hongmin Jia, Zhijun Hu, Xiaojin Zhang

Abstract read
In one paragraph

Article in Journal of diabetes research, 2013. 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
–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.

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.

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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

8 authors.

Anhui ZhuDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Bin CuiDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Haodan DangDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Dan YaoDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Haitao YuDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Hongmin JiaDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Zhijun HuDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.
Xiaojin ZhangDepartment of Radiology, Aerospace Central Hospital, 15 Yu'quan Road, Haidian District, Beijing 100049, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To investigate abdominal fat distribution in Chinese subjects with diabetes and its correlation with different types of diabetes. A total of 176 diabetic subjects were enrolled, 92 with type 1 and 84 with type 2, with a mean age of 27.41 and 49.3 yrs. No subject has history of severe diseases. Multi-slice CT was used to measure total abdominal adipose (TA) and visceral adipose (VA) tissues. Subcutaneous adipose (SA) tissue was obtained by subtracting VA from TA. There were differences between subjects with T1DM and T2DM for TA, VA, SA, VA/SA, body mass index (BMI), triglyceride (TG) and high density lipoprotein, but not total Cholesterol or low density lipoprotein. There were positive correlations between TA, VA, SA, VA/SA and T1DM and T2DM (P < 0.05 and r > 0.86). In subjects with T1DM, VA was negatively correlated with HDL, positively with BMI and age, and SA was positively correlated with BMI and sex (P < 0.05 and r > 0.86 for all). In subjects with T2DM, VA was positively correlated to BMI, TG and age, and SA was positively correlated to TG and sex (P < 0.05 and r > 0.86 for all). Abdominal fat content was positively correlated to diabetes in Chinese, which differs in different types of diabetes.

Indexed as

Body Fat DistributionAbdominal FatAdolescentAdultAsian PeopleCase-Control StudiesDiabetes Mellitus, Type 1Diabetes Mellitus, Type 2FemaleHumansMaleMiddle AgedTomography, X-Ray ComputedYoung Adult

Identifiers

PMID24350301
PMCPMC3856146

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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.