SynthesisNutrition journal2016
Association between serum selenium level and type 2 diabetes mellitus: a non-linear dose-response meta-analysis of observational studies.
Synthesis in Nutrition journal, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 72 papers, 8 of them syntheses that pooled 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.
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.
Who cites it
72 citing papers in PubMed, 8 syntheses or guidelines pooled it.
- The association of selenium exposure with the odds of metabolic syndrome: a dose-response meta-analysis.BMC endocrine disorders · 2025Pooled it
- Shining a Light on Selenium: a Meta-analysis of Supplementation in Multiple Sclerosis.Biological trace element research · 2024Pooled it
- Association of Selenium Levels with Gestational Diabetes Mellitus: An Updated Systematic Review and Meta-Analysis.Nutrients · 2022Pooled it
- The role of selenium in depression: a systematic review and meta-analysis of human observational and interventional studies.Scientific reports · 2022Pooled it
- Associations of the Dietary Iron, Copper, and Selenium Level With Metabolic Syndrome: A Meta-Analysis of Observational Studies.Frontiers in nutrition · 2021Pooled it
- Association between Serum Selenium Level and the Presence of Diabetes Mellitus: A Meta-Analysis of Observational Studies.Diabetes & metabolism journal · 2019Pooled it
- Selenium exposure and the risk of type 2 diabetes: a systematic review and meta-analysis.European journal of epidemiology · 2018Pooled it
- Serum selenium level and gestational diabetes mellitus: a systematic review and meta-analysis.Nutrition journal · 2016Pooled it
- Serum Levels of 18 Trace Elements and Type 2 Diabetes Mellitus: A Propensity Score-Matched Case-Control Study in Northwest Chinese Adults.Nutrients · 2026Article
- Relationship between dietary selenium intake and hyperlipidemia: a population-based study from NHANES (2011-2018).Irish journal of medical science · 2026Article
- Trace Elements in the Pancreas: From Physiological Homeostasis to the Pathogenesis of Diabetes, Pancreatitis, and Cancer-A Review.Life (Basel, Switzerland) · 2026Review
- Inflammation Mediates the Associations Between Selenium Status and Glucose Metabolism in Chinese Females Over 45 Years Old: a National Cross-Sectional Study.Biological trace element research · 2026Article
- Optimization of the extraction process andPeerJ · 2026Article
- Heavy metals and mortality in cardiovascular-kidney-metabolic syndrome: Insights from the NHANES cohort.Medicine · 2025Article
- Exploring optimal serum selenium range for heart failure prevention: A U-shaped association and mediation by hepatic steatosis in US adults.The Journal of international medical research · 2025Article
- Trace elements and risk of diabetes-related vascular complications: results from the EPIC-Potsdam cohort study.Cardiovascular diabetology · 2025Article
- Selenium Nutritional Status Assessment in Chinese Adult Females: Results from the China Nutrition and Health Surveillance in 2015.Nutrients · 2025Article
- Unraveling the Link: Mendelian Randomization Reveals Causal Relationship Between Selenium and Metabolic Syndrome.Biological trace element research · 2025Article
- Article
- Selenium Nanoparticles: Biomedical Application Advances and New Stomatology Pathways.International journal of nanomedicine · 2025Review
12 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe association between serum selenium levels and type 2 diabetes mellitus (T2DM) is controversial. We performed a systematic review and non-linear dose-response meta-analysis of observational studies to investigate the association in the present study.
methodsA comprehensive literature search was conducted using MEDLINE and EMBASE databases. A pooled odds ratio (OR) and related 95 % confidence interval (95 % CI) for T2DM between the highest and lowest serum selenium categories, and a non-linear dose-response relationship between selenium and T2DM were estimated.
resultsA total of five studies (of 13,460 participants) were identified as meeting the inclusion criteria. The pooled OR indicated that there was a significantly higher prevalence of T2DM in the highest category of blood selenium compared with the lowest (OR = 1.63, 95 % CI: 1.04-2.56, P = 0.033). Moreover, a significant non-linear dose-response relationship was observed between serum selenium levels and T2DM (P < 0.001). Serum selenium levels were positively associated with T2DM in populations with relatively low serum selenium levels (<97.5 μg/l) and those with high serum selenium levels (>132.5 μg/l).
conclusionsThe positive association between serum selenium levels and T2DM existed in populations with relatively low levels and high levels of serum selenium, indicating a likely U-shaped non-linear dose-response relationship between serum selenium and T2DM.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.