Evidence map›Paper›PMID 42888407›Full record

SynthesisBMC endocrine disorders2026

Association of copper exposure with metabolic syndrome: a dose-response meta-analysis.

Chou-Yi Hsu, Mohammed Hashim Mohammed, Sarah F Al-Taie, Jasur Rizaev, Meka Sreedhar Rao, Irwanjot Kaur, Neeraj Bainsal, Samir Sahoo, Aseel Smerat, Hamzeh Alizadeh

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In one paragraph

Synthesis in BMC endocrine disorders, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0cells of the map it votes in
0citing papers in PubMed
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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

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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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Chou-Yi HsuDepartment of Pharmacy, Chia Nan University of Pharmacy and Science, Tainan, 71710, Taiwan.
Mohammed Hashim MohammedMedical Laboratory Techniques Department, College of Health and Medical Technology, Al-maarif University, Anbar, Iraq.
Sarah F Al-TaieCollege of Science, Department of Biotechnology, University of Baghdad, Baghdad, Iraq.
Jasur RizaevDepartment of Public Health and Healthcare Management, Rector, Samarkand State Medical University, Samarkand, Uzbekistan.
Meka Sreedhar RaoFaculty of Ayurveda, Gokul Global University, Sidhpur, Gujarat, India.
Irwanjot KaurCentre for Research Impact and Outcome, Chitkara University, Rajpura, Punjab, India.
Neeraj BainsalUniversity Institute of Pharma Sciences, Chandigarh University, Mohali, Punjab, India.
Samir SahooDepartment of General Medicine, IMS and SUM Hospital, Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, Odisha, 751003, India.
Aseel SmeratFaculty of Educational Sciences, Al-Ahliyya Amman University, Amman, Jordan.
Hamzeh AlizadehGenetics Research Center, Department of Genetics and Breeding, The University of Guilan, Rasht, Iran. hamaliguilan@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundMetabolic syndrome (MetS) represents a cluster of interconnected metabolic derangements with a growing global prevalence. The association of copper (Cu) exposure with the odds of MetS remains unclear. This dose-response meta-analysis aimed to examine the relationship between urinary and serum Cu concentrations and MetS.

methodsWe searched Cochrane library, Web of Science, PubMed, and Scopus from inception to 4 February 2026. Studies providing association estimates for the relationship between serum or urinary Cu and MetS were included. Pooled effect sizes were presented as odds ratios (ORs) with 95% confidence intervals (CIs), calculated with the use of random-effects models.

resultsTwenty-three studies with 69,121 participants and 9,964 MetS cases were included. Higher serum Cu concentrations were significantly linked to elevated odds of MetS (OR = 1.17, 95% CI = 1.02-1.35), with considerable heterogeneity (I² = 79.6%, P < 0.001). Dose-response analysis revealed no significant linear association; however, a significant non-linear relationship was identified, with the odds of MetS increasing more markedly at serum Cu concentrations above approximately 1,100 µg/L (P = 0.047). Higher urinary Cu concentrations were also significantly associated with greater odds of MetS (OR = 1.41, 95% CI: 1.03-1.95; I² = 83.1%). The associations for both serum and urinary Cu were attenuated after adjustment for lifestyle-related factors and BMI.

conclusionsElevated serum and urinary Cu concentrations were significantly linked to an elevated odds of MetS, with evidence of a non-linear dose-response association. Lifestyle factors may confound this association. CLINICAL TRIAL NUMBER: Not applicable.

Indexed as

CopperEnvironmental ExposureMetabolic SyndromeDose-Response Relationship, DrugHumansCopperCopperDose-responseMeta-analysisMetabolic syndrome

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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.