Evidence map›Paper›PMID 35851677›Full record

ArticleBiological trace element research2023

Blood Lead Level Is Associated with Visceral Adipose Dysfunction in Patients with Type 2 Diabetes.

Chi Chen, Bin Wang, Haojie Zhang, Yuying Wang, Shiyan Yu, Shuo Zhou, Yi Chen, Fangzhen Xia, Hualing Zhai, Ningjian Wang and 1 more

Abstract read
PubMed Publisher
In one paragraph

Article in Biological trace element research, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.6field-weighted citation impact, top 35% 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

4 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. DNA Methylation ofEnvironment & health (Washington, D.C.) · 2026
    Article
  3. Article
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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

11 authors at 3 institutions in 1 country.

Chi Chen *Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China.
Bin Wang *Institute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China.
Haojie ZhangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China.
Yuying WangInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China.
Shiyan YuInstitute of Precision Medicine, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China.
Shuo ZhouDepartment of Anesthesiology, Shenzhen People's Hospital (The Second Clinical Medical College, Jinan University, The First Affiliated Hospital, Southern University of Science and Technology), Shenzhen, China.
Yi ChenInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China.
Fangzhen XiaInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China.
Hualing ZhaiInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China. zhaihualing@126.com.
Ningjian WangDepartment of Endocrinology and Metabolism, Huangpu Branch, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China. wnj486@126.com.
Yingli LuInstitute and Department of Endocrinology and Metabolism, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, 639, Zhizaoju Road, Shanghai, 200011, China. luyingli2008@126.com.
Shanghai Jiao Tong University · CNShanghai Ninth People's Hospital · CNJinan University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We aimed to explore whether an elevated blood lead level (BLL) is associated with visceral adipose dysfunction in patients with type 2 diabetes mellitus (T2DM). Four thousand one hundred and fourteen diabetic participants were enrolled from seven communities in Shanghai in 2018 in the cross-sectional METAL study. BLL was measured by graphite furnace atomic absorption spectrometry. Visceral adiposity index (VAI) and lipid accumulation product (LAP)were calculated by simple anthropometric and biochemical parameters. We found that medians (IQR) of BLL were 26.0 μg/L (18.0-37.0) for men and 25.0 μg/L (18.0-35.0) for women, respectively. In men, each doubling of BLL was associated with a 2.0% higher VAI (95% CI, 0.6 to 3.5%) and 1.8% higher LAP (95% CI, 0.2 to 3.3%) after full adjustment. Using the lowest BLL quartile as the referent group, significant positive trends were observed for BLL with VAI and LAP. In women, each doubling of BLL was associated with a 1.9% higher LAP (95% CI, 0.6 to 3.1%). Additionally, there was a marginally significant positive association between BLL and VAI, either using log2-transformed concentrations as continuous variables or categorized in quartiles. In conclusion, lead exposure is associated with visceral adipose dysfunction in patients with T2DM. Further prospective studies are warranted to confirm our findings.

Indexed as

Diabetes Mellitus, Type 2AdiposityBody Mass IndexChinaCross-Sectional StudiesFemaleHumansLeadMaleObesity, AbdominalLeadEpidemiologyLeadType 2 diabetes mellitusVisceral adipose dysfunction

Identifiers

PMID35851677
OpenAlexW4285730910

What OpenQuestion holds

Textmetadata
Read underepoch 390

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.