Evidence map›Paper›PMID 41503107›Full record

ArticleMayo Clinic proceedings. Innovations, quality & outcomes2026

Organic Pollutants and Risk of Type 2 Diabetes: A Systematic Review and Meta-analysis.

Yousif M Hydoub, Ricardo Loor-Torres, Abdul Qadeer, Kinaan Farhan, Thaer K Swaid, Hanieh Sadat Tabatabaei Yeganeh, Joelle N Friesen, Shangwe Kiliaki, Iman Fawad, Danielle J Gerberi and 4 more

Abstract read
In one paragraph

Article in Mayo Clinic proceedings. Innovations, quality & outcomes, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–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

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

14 authors.

Yousif M HydoubDepartment of Cardiac Sciences, Sheikh Khalifa Medical City, Abu Dhabi, United Arab Emirates.
Ricardo Loor-TorresKnowledge and Evaluation Research Unit, Division of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN.
Abdul QadeerDivision of Hospital Internal Medicine, Mayo Clinic, AZ.
Kinaan FarhanDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN.
Thaer K SwaidDivision of Internal Medicine, Sheikh Shakhbout Medical City, Abu Dhabi, United Arab Emirates.
Hanieh Sadat Tabatabaei YeganehDivision of Endocrinology, Diabetes, Metabolism, and Nutrition, Mayo Clinic, Rochester, MN.
Joelle N FriesenDepartment of Internal Medicine, Mayo Clinic, Rochester, MN.
Shangwe KiliakiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN.
Iman FawadDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN.
Danielle J GerberiMayo Clinic Libraries, Mayo Clinic, Rochester, MN.
Thirumurugan PrakasamChemistry Program, New York University Abu Dhabi, Saadiyat Island, United Arab Emirates.
Rainer LohmannGraduate School of Oceanography, University of Rhode Island, Narragansett, RI.
M Hassan MuradEvidence-Based Practice Center, Mayo Clinic, Rochester, MN.
Sagar B DuganiDivision of Hospital Internal Medicine, Mayo Clinic, Rochester, MN.

Funding

Rural Patient Risks and Exposures for Diabetes ConTrol (Rural PREDICT)K23MD016230 · NIMHD · MAYO CLINIC ROCHESTER · PI DUGANI, CHANDRASAGAR · 2021 to 2025
$763k
NIMHD NIH HHS K23 MD016230
6 · The paper itself

Abstract

Objective: To evaluate the associations between organic pollutants (OPs) and risk of type 2 diabetes (T2D). Patients and Methods: We searched Medline, Embase, Scopus, Web of Science, and Cochrane Central from inception through March 18, 2024. We included studies reporting the adjusted or unadjusted association between serum concentration of OPs and risk of T2D. We excluded studies on type 1 diabetes, self-reported exposure, and if fewer than 100 T2D cases. We classified OPs using 2 classification methods and reported pooled risk estimates using a random-effects model (odds ratio [95% CI]) and assessed risk of bias at the levels of OPs and their classes. We conducted sex- and concentration-stratified analyses. Results: From 20,531 articles, we included 44 (0.2%) studies of 83 individual and 38 combination OPs in 54,967 participants. All but 1 study had low risk of bias. Ten of 12 OP classes were associated with risk of T2D, polychlorinated dibenzo-p-furans had the highest association (OR, 2.54; 95% CI, 1.94-3.33). Polychlorinated dibenzo-p-dioxins showed a significant association in men (OR, 3.21; 95% CI, 1.81-5.71). Polychlorinated biphenyls (OR, 1.72; 95% CI, 1.55-1.92) and dichlorodiphenyltrichloroethane (DDT) and DDT-like compounds (OR, 1.14; 95% CI, 1.01-1.29) showed a significant association in women. Moreover, 28 (33.7%) individual and 21 (55.3%) combination OPs had a significant association. Polychlorinated biphenyl 157 (OR, 1.93; 95% CI, 1.27-2.92) and organochlorine pesticides (OR, 4.35; 95% CI, 1.90-9.98) had the highest risk of T2D. Conclusion: Several OPs were associated with higher risk of T2D. Future work should evaluate the concentration threshold at which OPs increase risk to inform both T2D screening and OP advisories and regulation.

Identifiers

PMID41503107
PMCPMC12768856

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LicenceCC BY-NC-ND
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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.