Evidence map›Paper›PMID 36828662›Full record

ArticleBMJ open2023

Association between adiponectin and newly diagnosed type 2 diabetes in population with the clustering of obesity, dyslipidaemia and hypertension: a cross-sectional study.

Xiaosi Hong, Xiaoyun Zhang, Lili You, Feng Li, Hong Lian, Jiahuan Wang, Na Mao, Meng Ren, Yan Li, Chuan Wang and 1 more

Open access · goldAbstract read
In one paragraph

Article in BMJ open, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
6.4field-weighted citation impact, top 3% 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

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Trial
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  13. Foods (Basel, Switzerland) · 2025
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  20. The Plasma Levels of Protein Adiponectin (Diabetes, metabolic syndrome and obesity : targets and therapy · 2024
    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

11 authors at 1 institution in 1 country.

Xiaosi Hong *Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Xiaoyun Zhang *Department of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Lili YouDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.ORCID 0000-0001-6815-5939
Feng LiDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Hong LianDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Jiahuan WangDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.ORCID 0000-0001-9575-0178
Na MaoDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Meng RenDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.ORCID 0000-0001-9935-1449
Yan LiDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China.
Chuan WangDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China skendo@163.com 195544590@qq.com.
Kan SunDepartment of Endocrinology, Sun Yat-Sen Memorial Hospital, Guangzhou, China skendo@163.com 195544590@qq.com.ORCID 0000-0002-3471-7689
Sun Yat-sen University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesAdiponectin is closely related to glucose metabolism and traditional diabetes risk factors (obesity, hypertension and dyslipidaemia). We aimed to explore the association between adiponectin levels and newly diagnosed type 2 diabetes mellitus (T2DM) and pre-diabetes in subgroups classified according to T2DM risk factors.

settingSun Yat-sen Memorial Hospital of Sun Yat-sen University.

participants3680 individuals (1753 men and 1927 women) aged 18-70 years from Guangzhou and Dongguan, China, were enrolled from December 2018 to October 2019. PRIMARY AND SECONDARY OUTCOME MEASURES: T2DM was defined as fasting plasma glucose (FPG)≥7.0 mmol/L or HbA1c≥6.5%, and pre-diabetes was defined as 6.1 mmol/L≤FPG<7.0 mmol/L or 5.7≤HbA1c<6.5%.

resultsWith the increasing number of T2DM risk factors, the proportion of the population with high-quartile adiponectin levels gradually decreased (p<0.001). A low level of adiponectin was significantly associated with diabetes and pre-diabetes in a population with ≥1 T2DM risk factor, whereas its association was not consistently significant in the population with all three T2DM risk factors. For instance, participants were more likely to have diabetes or prediabetes with low levels of adiponectin when they had ≥ one T2DM risk factor (quartile 2 vs. 1: OR 0.71 [95%CI: 0.56-0.89]; P=0.003; quartile 3 vs. 1: OR 0.57 [95%CIs: 0.44-0.72]; P<0.001; and quartile 4 vs. 1: OR 0.52 [95%CIs: 0.40-0.67]; P<0.001).

conclusionAdiponectin was negatively associated with diabetes and pre-diabetes in a population with few T2DM risk factors, while their relationship gradually attenuated with the accumulation of T2DM risk factors, especially in a population with coexisting diseases such as obesity, hypertension and dyslipidaemia.

Indexed as

Diabetes Mellitus, Type 2DyslipidemiasHypertensionPrediabetic StateAdiponectinBlood GlucoseCluster AnalysisCross-Sectional StudiesFemaleGlycated HemoglobinHumansMaleObesityAdiponectinBlood GlucoseGlycated HemoglobinDiabetes & endocrinologyDIABETES & ENDOCRINOLOGYGeneral diabetesLipid disorders

Identifiers

PMID36828662
PMCPMC9972409
OpenAlexW4321769286

What OpenQuestion holds

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LicenceCC BY-NC
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Registered trials

None linked

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.