Evidence mapPaperPMID 39095444Full record

SynthesisScientific reports2024

Association between polychlorinated biphenyl (PCB) and dioxin with metabolic syndrome (METS): a systematic review and meta-analysis.

Mohd Danial Mohd Efendy Goon, Sarah Zulkifli, Siti Suhana Abdullah Soheimi, Sharaniza Ab Rahim, Normala Abd Latip, Norbaya Hashim, Nirmala Devi Kerisnan, Nasehir Khan E M Yahaya, Alias Mohamed, Siti Hamimah Sheikh Abdul Kadir

Abstract readSystematic ReviewMeta-Analysis
In one paragraph

Synthesis in Scientific reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

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

  1. Pooled it
  2. Review
  3. Review
  4. Article
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  7. Review
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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.

Mohd Danial Mohd Efendy Goon *Institute of Pathology, Laboratory and Forensic Medicine (I-PPerFoRM), Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia.ORCID 0000-0002-5419-8441
Sarah Zulkifli *Institute of Pathology, Laboratory and Forensic Medicine (I-PPerFoRM), Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia.
Siti Suhana Abdullah SoheimiInstitute of Molecular Medicine Biotechnology (IMMB), Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia.ORCID 0000-0001-7190-5526
Sharaniza Ab RahimDepartment of Biochemistry and Molecular Medicine, Faculty of Medicine, Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia.ORCID 0000-0003-4502-3559
Normala Abd LatipIntegrative Pharmacogenomics Institute (iPROMISE), Universiti Teknologi MARA (UiTM), Puncak Alam Campus, Puncak Alam, 40450, Shah Alam, Selangor, Malaysia.ORCID 0000-0003-4957-5369
Norbaya HashimNational Water Research Institute of Malaysia (NAHRIM), Lot 5377, Jalan Putra Permai, 43300, Seri Kembangan, Selangor, Malaysia.
Nirmala Devi KerisnanSewerage Service Department (JPP), Block B, Level 2 and 3, Atmosphere PjH No 2, Jalan Tun Abdul Razak, Precinct 2, 62100, Federal Territory of Putrajaya, Malaysia.
Nasehir Khan E M YahayaNational Water Research Institute of Malaysia (NAHRIM), Lot 5377, Jalan Putra Permai, 43300, Seri Kembangan, Selangor, Malaysia.
Alias MohamedSewerage Service Department (JPP), Block B, Level 2 and 3, Atmosphere PjH No 2, Jalan Tun Abdul Razak, Precinct 2, 62100, Federal Territory of Putrajaya, Malaysia.
Siti Hamimah Sheikh Abdul KadirInstitute of Pathology, Laboratory and Forensic Medicine (I-PPerFoRM), Universiti Teknologi MARA (UiTM), Sungai Buloh Campus, 47000, Sungai Buloh, Selangor, Malaysia. sitih587@uitm.edu.my.ORCID 0000-0002-1671-4839

Funding

Ministry of Natural Resources, Environment and Climate Change 100-TNCPI/GOV 16/6/2 (019/2021)
6 · The paper itself

Abstract

Polychlorinated biphenyls (PCBs) and dioxin are persistent endocrine disrupting chemicals (EDCs) and have been associated with an increased risk of metabolic syndrome (MetS). The aim of this systematic review and meta-analysis was to assess the associations of PCBs and dioxin with MetS and its risk factors, including obesity, hypertriglyceridaemia (HTG), hypertension (HTN) and diabetes mellitus (DM). We searched three electronic databases for epidemiological studies concerning PCBs and dioxin with MetS published up to the end of 2023. Meta-analysis was performed for MetS itself and each of the MetS risks based on a random-effects meta-analysis model, and odds ratios (ORs) with 95% confidence intervals (CIs) were obtained. Publication bias was assessed based on Egger's test. Eleven studies were included from three databases up to 2023. There were 40,528 participants aged 18-89, where 18-100% of them were males, included in our meta-analysis. The meta-analysis results showed a strong association between PCB exposure and DM (OR = 3.593, 95% CI 2.566, 5.031), while most of the risk factors for MetS, including obesity (OR = 1.875, 95% CI 0.883, 3.979), HTN (OR = 1.335, 95% CI 0.902, 1.976) and HTG (OR = 1.611, 95% CI 0.981, 2.643), were weakly associated with PCB. Furthermore, both PCBs (OR = 1.162, 95% CI 0.994, 1.357) and dioxin (OR = 2.742, 95% CI 1.936, 3.883) were found to be weakly and strongly associated with MetS, respectively. Meta-regression analysis showed that DM in the Asian population is associated with PCB exposure, while HTG in the Northern American population is associated with PCB exposure. Our meta-analysis has demonstrated a strong relationship between DM and PCBs, while the relationship between PCBs with MetS and other risk factors is less pronounced. Additionally, MetS is weakly associated with dioxin exposure. To improve primary care outcomes, healthcare providers should consider incorporating the assessment of patients' risk of exposure to PCBs and dioxins into their evaluation procedures for more targeted medical interventions.

Indexed as

DioxinsMetabolic SyndromePolychlorinated BiphenylsAdolescentAdultAgedEnvironmental ExposureFemaleHumansHypertensionMaleMiddle AgedObesityRisk FactorsDioxinsPolychlorinated BiphenylsDiabetes mellitusDioxinHypercholesterolemiaHypertensionMetabolic syndromeObesityPolychlorinated biphenyl

Identifiers

PMID39095444
PMCPMC11297331

What Socratic holds

Textmetadata
LicenceCC BY
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 Socratic graph.