Correlation Between Thyroid Nodules and Metabolic Syndrome: A Systematic Review and Meta-Analysis.
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ABSTRACT: Objective
Thyroid nodules (TNs) are a common thyroid disorder that can be caused by many factors. Several studies have investigated the relationship between TNs and metabolic syndrome (MetS), but the role of sex and age remains controversial. The purpose of this paper was to analyze published data from all relevant studies to reliably estimate the relationship between TNs and MetS.Methods
Thirteen articles were included in this study; articles were identified by searching for publications until July 2021 in PubMed, EMBASE, the Cochrane Library and the Web of Science. The outcomes are presented as the summary odds ratio (OR) and 95% confidence interval (CI) and the pooled prevalence and 95% CI.Results
The TNs prevalence was significantly higher in MetS patients than in controls (OR 1.88, 95% CI 1.42-2.50, P < 0.0001) and was independent of sex (male: OR 1.53, 95% CI 1.20-1.94, P = 0.0006; female: OR 1.90, 95% CI 1.54-2.33, P < 0.00001; combined: OR 2.06, 95% CI 1.31-3.25, P = 0.002) and age (< 40 years old: OR 1.62, 95% CI 1.39-1.89, P < 0.0001; 40~50 years old: OR 2.14, 95% CI 1.49-3.08, P < 0.0001;50~60 years old: OR 1.50, 95% CI 1.08-2.07, P = 0. 01; 60 years old: OR 1.70, 95% CI 1.36-2.14, P < 0.00001); the pooled TNs prevalence in MetS patients was 45% (95% CI 36-54%). However, it has not yet been considered that MetS is related to TNs in people with iodine deficiency (OR 3.14, 95% CI 0.92-10.73, P = 0.07).Conclusion
The meta-analysis results showed a strong correlation between TNs and MetS. Both male and female patients with MetS had an increased TNs prevalence. In addition, the prevalence was independent of age. However, MetS is not considered to be associated with TNs in iodine-deficient populations.
SUBMITTER: Zhang C
PROVIDER: S-EPMC8481784 | biostudies-literature |
REPOSITORIES: biostudies-literature
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Project description:IntroductionAn emerging public health issue is brought on by the worldwide increase of thyroid nodules (TNs). The goal of the current study is to determine the global prevalence of TNs among the general population.MethodsWe screened articles published from January 2000 to May 2022. TN prevalence was calculated with the DerSimonian-Laird random effects model with arcsine transformation.ResultsA total of 20,358 entries were found in our research, and 102 of them met our inclusion criteria. A total of 9,276,178 individuals have been diagnosed as TNs; the overall prevalence was 24.83% (95% CI 21.44-28.55), regardless of the diagnostic techniques. TNs have become more prevalent during 2012-2022 (29.29%) compared with 2000-2011 (21.53%, p = 0.02). In addition, we discovered that women (36.51%) were more likely to have TNs than men (23.47%, p < 0.01). Interestingly, we found that obesity was correlated with the prevalence of TNs. Additionally, age-specific-stratified TN prevalence was found in our results.DiscussionThis meta-analysis shows that, regardless of country development and economic status, TNs are spreading more widely over the world. Our findings showed a strong correlation between rising TN prevalence and older age, female sex, and elevated weight. To stop the TN epidemic from spreading over the world, increased awareness, the understanding of the disease, and quick action are required.
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Project description:BackgroundMOTS-c is known as mitochondrial open reading frame (ORF) of the twelve S c, produced by a small ORF-encoded peptides (SEPs) in mitochondrial 12S rRNA region. There is growing evidence that MOTS-c has a strong relationship with the expression of inflammation- and metabolism-associated genes and metabolic homeostasis, and even offering some protection against insulin resistance (IR). However, studies have reported inconsistent correlations between different population characteristics and MOTS-c levels. This meta-analysis aims to elucidate MOTS-c levels in physiological and pathological states, and its correlation with metabolic features in various physiological states.MethodsWe conducted a systematic review and meta-analysis to synthesize the evidence of changes in blood MOTS-c concentration, and any association between MOTS-c and population characteristic. The Web of Science, PubMed, EMBASE, CNKI, WANGFANG and VIP databases were searched from inception to April 2023. The statistical analysis was summarized using the standardized mean difference (SMD) and 95% confidence interval (95% CIs). Pearson correlation coefficient was used to analyze the correlation and generate forest plots through a random-effects model. Additional analyses as sensitivity and subgroup analyses were performed to identify the origins of heterogeneity. Publication bias was retrieved by means of a funnel-plot analysis and Egger's test. All related statistical analyses were performed using Revman 5.3 and Stata 15 statistical software.ResultThere are 6 case-control studies and 1 cross-sectional study (11 groups) including 602 participants in our current meta-analysis. Overall analysis results showed plasma MOTS-c concentration in diabetes and obesity patients was significantly reduced (SMD = - 0.37; 95% CI- 0.53 to - 0.20; P < 0.05). After subgroup analysis, the present analysis has yielded opposite results for MOTS-c changes in obesity (SMD = 0.51; 95% CI 0.21 to 0.81; P < 0.05) and type 2 diabetes mellitus (T2DM) (SMD = - 0.89; 95% CI - 1.12 to - 0.65; P < 0.05) individuals. Moreover, the correlation analysis was performed to identify that MOTS-c levels were significantly positively correlated with TC (r = 0.29, 95% CI 0.20 to 0.38) and LDL-c (r = 0.30, 95% CI 0.22 to 0.39). The subgroup analysis results showed that MOTS-c decreased significantly in patients with diabetes (SMD = - 0.89; 95% CI- 1.12 to - 0.65; P < 0.05). In contrast, the analysis result for obesity persons (BMI > 28 kg/ m2) was statistically significant after overweight people (BMI = 24-28 kg/ m2) were excluded (SMD = 0.51; 95% CI 0.21 to 0.81; P < 0.05), which is completely different from that of diabetes. Publication bias was insignificant (Egger's test: P = 0.722).ConclusionCirculating MOTS-c level was significantly reduced in diabetic individuals but was increased significantly in obesity patients. The application of monitoring the circulating levels variability of MOTS-c in routine screening for obesity and diabetes is prospects and should be taken into consideration as an important index for the early prediction and prevention of metabolic syndrome in the future. PROSPERO registration number CRD42021248167.
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