Evidence map›Paper›PMID 32245824›Full record

ArticleBMJ open diabetes research & care2020

Relationship of obesity to adipose tissue insulin resistance.

Jiajia Jiang, Xueli Cai, Yuesong Pan, Xiaoyan Du, Huiping Zhu, Xinghua Yang, Deqiang Zheng, Herbert Gaisano, Tiemin Wei, Yan He

Open access · goldAbstract read
In one paragraph

Article in BMJ open diabetes research & care, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed
3.1field-weighted citation impact, top 8% 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

44 citing papers in PubMed, 66 citations in OpenAlex.

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  9. Diagnosis-dependent metabolic reprogramming of follicular fluid.Reproductive biology and endocrinology : RB&E · 2026
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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

10 authors at 4 institutions in 2 countries.

Jiajia Jiang *Department of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Xueli Cai *Department of Neurology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.
Yuesong PanDepartment of Neurology, Beijing Tiantan Hospital, Beijing, China yanhe1220@126.com yuesongpan@ncrcnd.org.cn.ORCID 0000-0003-3082-6789
Xiaoyan DuDepartment of Laboratory Animal, School of Basic Medical Sciences, Capital Medical University, Beijing, China.
Huiping ZhuDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Xinghua YangDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Deqiang ZhengDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China.
Herbert GaisanoDepartments of Medicine and Physiology, University of Toronto, Toronto, Ontario, Canada.
Tiemin WeiDepartment of Neurology, Lishui Central Hospital and Fifth Affiliated Hospital of Wenzhou Medical College, Lishui, Zhejiang, China.
Yan HeDepartment of Epidemiology and Biostatistics, School of Public Health, Capital Medical University, Beijing, China yanhe1220@126.com yuesongpan@ncrcnd.org.cn.ORCID 0000-0002-8586-075X
Capital Medical University · CNLishui Central Hospital · CNBeijing Tian Tan Hospital · CNUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimsThis study aimed to examine the association of different anatomical forms of obesity with adipose tissue insulin resistance and to assess the diagnostic value and contribution of obesity to adipose tissue insulin resistance.

methodsThis cross-sectional study included a total of 499 subjects aged 50 years or over. Multivariate regression analysis was conducted to clarify the association of different forms of obesity with adipose tissue insulin resistance (calculated as fasting insulin level×fasting free fatty acids level). Receiver operating characteristic cure analyses were used to assess the diagnostic value of each anthropometric indicator for adipose tissue insulin resistance. Attributable risk per cent and population attributable risk per cent were calculated to assess the contribution of obesity to adipose tissue insulin resistance.

resultsAfter adjustment for potential confounders, we showed that anthropometric indicators were all positively associated with adipose tissue insulin resistance. In males, waist circumference (WC) was the strongest associated factor (OR, 3.43 (95% CI 2.03 to 5.82)) and indicator (area under the curve (AUC): 0.79) of adipose tissue insulin resistance among those indicators. Here, abdominal obesity (WC≥90 cm) accounted for 64.9% of adipose tissue insulin resistance in the abdominal obese males. Accordingly, body mass index (BMI) was the strongest associated factor (OR,3.08 (95% CI 2.04 to 4.66)) and indicator (AUC: 0.78) of adipose tissue insulin resistance in females. Here, general obesity of BMI≥25 kg/m

conclusionsMaintaining WC in males and BMI in females to a normal range could be an important strategy to significantly reduce the occurrence of adipose tissue insulin resistance and the subsequent metabolic diseases.

Indexed as

Diabetes Mellitus, Type 2Insulin ResistanceAdipose TissueCross-Sectional StudiesFemaleHumansMaleObesityBMIinsulin resistanceobesitywaist circumference

Identifiers

PMID32245824
PMCPMC7254100
OpenAlexW3015083349

What OpenQuestion holds

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LicenceCC BY-NC
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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.