A meta-analysis to evaluate the prevalence of maxillofacial trauma caused by various etiologies among children and adolescents.

AIMS: Children and adolescents who are affected by trauma may have complications that are more serious and dangerous. Herein, a meta-analysis to evaluate the prevalence of maxillofacial trauma caused by various etiologies according to the geographic regions of the world among children and adolescents was conducted. MATERIALS AND METHODS: A comprehensive search was performed in four databases of PubMed/MEDLINE, Web of Science, Cochrane Library, and Scopus from January 1, 2006 until July 7, 2021. To evaluate the quality of included articles, an adapted version of the Newcastle-Ottawa scale was used. The prevalence of maxillofacial trauma was estimated by event rates and 95% confidence intervals in relation to etiology and geographic region of study population. RESULTS: Through search in the databases and the electronic sources, 3071 records were identified, and 58 studies were eligible for inclusion in the meta-analysis. A total of 264,433 maxillofacial trauma cases were reported by all included studies. Globally, the overall prevalence of maxillofacial trauma was highest due to Road Traffic Crashes (RTC) (33.8%) followed by falls (20.7%), violence (9.9%), and sports (8.1%) in children/adolescents. The highest prevalence of maxillofacial trauma were observed in African population (48.3%) while trauma due to falls was most prevalent in Asian population (44.1%). Maxillofacial trauma due to violence (27.6%) and sports (13.3%) were highest in North Americans. CONCLUSION: The findings demonstrate that RTC was the most prevalent etiology of maxillofacial trauma in the world. The prevalent causes of maxillofacial trauma differed between the regions of study population.

Association between the CYP1A1 MspI polymorphism and risk of head and neck cancer: a meta-analysis.

The studies recommended the relationship between lots of polymorphisms with the head and neck cancers (HNCs) risk. Herein, we reported the association between the CYP1A1 MspI polymorphism and the risk of HNC in an updated meta-analysis. The PubMed/MEDLINE, Web of Science, Cochrane Library, and Scopus databases were searched until March 31, 2021, without any restrictions. Odds ratios (ORs) and 95% confidence intervals (CIs) were applied to assess a relationship between CYP1A1 MspI polymorphism and the HNC risk based on five applied genetic models by RevMan 5.3 software. Other analyses (sensitivity analysis, meta-regression, and bias analysis) were performed by CMA 2.0 software. Trial sequential analysis (TSA) was done by TSA software (version 0.9.5.10 beta). Among the databases and other sources, 501 recorded were identified that at last, 29 studies were obtained for the analysis. The pooled ORs were 1.28 (95%CI 1.09, 1.51; P = 0.003), 1.68 (95%CI 1.16, 2.45; P = 0.007), 1.24 (95%CI 1.03, 1.50; P = 0.02), 1.26 (95%CI 1.07, 1.48; P = 0.005), and 1.66 (95%CI 1.27, 2.16; P = 0.0002) for allelic, homozygous, heterozygous, recessive, and dominant models, respectively. Therefore, the m2 allele and m1/m2 and m2/m2 genotypes had significantly increased risks in HNC patients. With regards to stable results and enough samples, the findings of the present meta-analysis recommended that there was an association between CYP1A1 MspI polymorphism and the HNC risk.

Association between Interleukin-1 Polymorphisms and Susceptibility to Dental Peri-Implant Disease: A Meta-Analysis.

BACKGROUND AND OBJECTIVE: Interleukins (ILs), as important biochemical mediators, control the host response to inflammation and are associated with bone resorption. In the present meta-analysis, we investigated the association between IL-1 polymorphisms and susceptibility to dental peri-implant disease (PID). MATERIALS AND METHODS: We searched Web of Science, Cochrane Library, Scopus, and PubMed/Medline databases for studies published until 9 September2021, without any restrictions. We calculated the crude OR and 95% confidence intervals (CI) to estimate the associations between IL-1 polymorphisms and PID risk in the five genetic models. We further performed the subgroup analysis, sensitivity analysis, meta-regression, trial sequential analysis, and calculated the publication bias. RESULTS: Out of 212 retrieved records, sixteen articles were used in the meta-analysis. There was no association between IL-1A (-889), IL-1B (-511), IL-1B (+3953), and IL-1RN (VNTR) polymorphisms and the risk of dental PIDs, but there was an increased risk of IL-1B (+3954) in the patients with PIDs. In addition, an association of the composite genotype of IL-1A (-889)/IL-1B (+3953) was observed with the risk of PIDs, but not for the composite genotype of IL-1A (-889)/IL-1B (+3954). The publication year, the ethnicity, sample size, and the outcome were significantly influenced pooled estimates of some genetic models. Trial sequential analysis showed the lack of sufficient sample sizes in the studies. Conclusions: Among IL-1 polymorphisms evaluated in the meta-analysis, the composite genotype of IL-1A (-889)/IL-1B (+3953) and IL-1B (+3954) were the only polymorphisms associated with the risk of PID. The T allele and CT genotype of IL-1B (+3954) polymorphism were also associated with an elevated risk of PID.

Association of N-acetyltransferases 1 and 2 Polymorphisms with Susceptibility to Head and Neck Cancers-A Meta-Analysis, Meta-Regression, and Trial Sequential Analysis.

Background and objective:N-acetyltransferases 1 and 2 (NAT1 and NAT2) genes have polymorphisms in accordance with slow and rapid acetylator phenotypes with a role in the development of head and neck cancers (HNCs). Herein, we aimed to evaluate the association of NAT1 and NAT2 polymorphisms with susceptibility to HNCs in an updated meta-analysis. Materials and methods: A search was comprehensively performed in four databases (Web of Science, Scopus, PubMed/Medline, and Cochrane Library until 8 July 2021). The effect sizes, odds ratio (OR) along with 95% confidence interval (CI) were computed. Trial sequential analysis (TSA), publication bias and sensitivity analysis were conducted. Results: Twenty-eight articles including eight studies reporting NAT1 polymorphism and twenty-five studies reporting NAT2 polymorphism were involved in the meta-analysis. The results showed that individuals with slow acetylators of NAT2 polymorphism are at higher risk for HNC OR: 1.22 (95% CI: 1.02, 1.46; p = 0.03). On subgroup analysis, ethnicity, control source, and genotyping methods were found to be significant factors in the association of NAT2 polymorphism with the HNC risk. TSA identified that the amount of information was not large enough and that more studies are needed to establish associations. Conclusions: Slow acetylators in NAT2 polymorphism were related to a high risk of HNC. However, there was no relationship between NAT1 polymorphism and the risk of HNC.