Evidence mapPaperPMID 33737823Full record

ArticleDiabetes, metabolic syndrome and obesity : targets and therapy2021

Adipose Tissue Insulin Resistance is Closely Associated with Metabolic Syndrome in Northern Chinese Populations.

Kun Zhang, Hui Pan, Linjie Wang, Hongbo Yang, Huijuan Zhu, Fengying Gong

Abstract 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. Cited by 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
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

23 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Relationship between aerobic fitness and adipose tissue insulin resistance.American journal of physiology. Endocrinology and metabolism · 2026
    Pooled it
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  18. Catechins and Proanthocyanidins Involvement in Metabolic Syndrome.International journal of molecular sciences · 2023
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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

6 authors.

Kun ZhangKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Hui PanKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Linjie WangKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Hongbo YangKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Huijuan ZhuKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.
Fengying GongKey Laboratory of Endocrinology of National Health Commission, Department of Endocrinology, Peking Union Medical College Hospital, Chinese Academy of Medical Science and Peking Union Medical College, Beijing, People's Republic of China.ORCID 0000-0002-6361-3811

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAdipose tissue insulin resistance is a common feature of obesity-related metabolic diseases. However, the relationship between adipose tissue insulin resistance and metabolic syndrome (MS) has not been fully elucidated. Here, we explored the relationship between the adipose tissue insulin resistance index (Adipo-IR) (fasting insulin × free fatty acids) and MS and the predictive power of Adipo-IR for MS in northern Chinese populations.

methodsA total of 312 subjects, 186 subjects with MS, 80 nonmetabolic syndrome (NMS) subjects with central obesity, and 46 normal controls were recruited. The general clinical information, biochemical measurements, and oral glucose tolerance tests were evaluated. Serum adiponectin levels were determined using enzyme linked immunosorbent assay (ELISA).

resultsAdipo-IR was 2.32-fold higher in NMS subjects and 2.62-fold higher in MS subjects than in normal controls in male subjects; in female subjects, it was 1.75-fold and 3.58-fold higher, respectively (

conclusionAdipo-IR provides a simple method to study adipose tissue insulin sensitivity. Adipo-IR is associated with MS and is an important predictor of MS.

Indexed as

Adipo-IRadipose tissue insulin resistancemetabolic syndromeobesity

Identifiers

PMID33737823
PMCPMC7965693

What Socratic holds

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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 Socratic graph.