scholarly journals Was Antiphospholipid Syndrome a Risk Factor of Stroke? A Systemic Review and Meta-Analysis of Cohort Studies

2021 ◽  
Vol 2021 ◽  
pp. 1-9
Author(s):  
Kai Zhao ◽  
Ping Zhou ◽  
Ling Xu ◽  
Ruili Li ◽  
Jincai Yang ◽  
...  
Keyword(s):  
Risk Factor ◽  
Autoimmune Diseases ◽  
Cohort Studies ◽  
Publication Bias ◽  
Antiphospholipid Syndrome ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Systemic Review ◽  
Effect Model

Antiphospholipid syndrome (APS) is characterized by thrombosis. This systemic review and meta-analysis was to verify the hypothesis that APS might increase the risk of stroke. Studies were identified after literature searching of PubMed, Embase, and Cochrane. Newcastle-Ottawa Quality Assessment Scale Cohort Studies (NOQAS-C) was used to assess the quality of studies. The pooled effect with 95% confidence interval (95% CI) was calculated by random-effect model. I -square ( I 2 ) was used to test heterogeneity. Funnel plot was used to evaluate publication bias. A total of 17 cohort studies with overall high quality were included. There was no publication bias. Pooled hazard ratio of stroke occurrence in APS patients was 1.76 (1.39-2.21) with low heterogenicity and stable result from sensitivity analysis. In the analysis of subgroups, pooled risk ratios of stroke occurrence in patients with only positive antibodies of APS diagnosis were 1.75 (0.99-3.09), which for the APS patients with other autoimmune diseases were 14.70 (7.56-28.56). APS might be a risk factor of stroke, especially in patients with other autoimmune diseases.

scholarly journals Association between metabolic syndrome and venous thromboembolism after total joint arthroplasty: a meta-analysis of cohort studies

2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Yipei Yang ◽  
Ziyue Li ◽  
Haifeng Liang ◽  
Jing Tian
Keyword(s):  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Joint Arthroplasty ◽  
Effect Model ◽  
Increased Risk ◽  
Subgroup Analyses

Abstract Objective Metabolic syndrome (MetS) has been associated with hypercoagulative status. However, previous studies evaluating the association between MetS and incidence of venous thromboembolism (VTE) after total joint arthroplasty (TJA) showed inconsistent results. We performed a meta-analysis to evaluate the influence of MetS on the risk of VTE following TJA. Methods Cohort studies were identified by the search of PubMed, Embase, and the Cochrane’s Library databases. A random-effect model was used if considerable heterogeneity was detected; otherwise, a fixed-effect model was used. Subgroup analyses according to the category of VTE, definition of MetS, category of procedure, and follow-up durations were performed. Results Seven cohort studies with 1,341,457 patients that underwent TJA were included, with 118,060 MetS patients (8.8%) at baseline. With a follow-up duration up to 3 months after surgery, 9788 patients had VTE. Pooled results with a random-effect model showed that MetS was not associated with increased overall VTE after TJA (adjusted risk ratio [RR] = 1.24, 95% confidence interval [CI] 0.89 ~ 1.72, p = 0.20; I2 = 69%). The results were not significantly affected by the diagnostic criteria of MetS, category of the procedure, and follow-up durations. Subgroup analyses showed that MetS was not associated with an increased the risk of pulmonary embolism ([PE], RR 1.06, 95% CI 0.37 ~ 3.02, p = 0.91), but an increased risk of deep vein thrombosis (DVT) after TJA (RR 3.38, 95% CI 1.83 ~ 6.24, p < 0.001). Conclusions Current evidence from observational studies suggests MetS might be associated with an increased risk of DVT but not PE after TJA.

scholarly journals The risk of smoking with stroke in Asia : meta-analysis

2020 ◽  
Vol 14 (1) ◽  
Author(s):  
Fadhilatul Hasnah ◽  
Yuniar Lestari ◽  
Abdiana Abdiana
Keyword(s):  
Ischemic Stroke ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Haemorrhagic Stroke ◽  
Fixed Effect Model ◽  
Stroke Subtype ◽  
Effect Model ◽  
Trim And Fill

This study uses a systematic method of review and meta-analysis to look at the risk of smoking with stroke in Asia. Further analysis based on the stroke subtype (ischemic stroke and haemorrhagic stroke was also carried out. Literature search was carried out in the PubMed, EBSCO and Google Scholar databases. Q tests were performed to determine the heterogeneity of included studies. Funnel plot, Egger regression test and trim and fill methods were used to identified publication bias and with the transformation of the model between the fixed effect model and the random effect model for sensitivity analysis A total of 12 articles were included consisting of 9 studies with case control design studies and 3 studies with cohort designs. The meta-analysis results showed that people who smoke have risks pooled OR 2.04 times (95% CI 1.57-2.65) for having a stroke Analysis of the type of stroke, smokers had 2.3 times the risk of having an ischemic stroke or 2.77 times for having a haemorrhagic stroke. Eggers test showed no influence of publication bias on the meta-analysis of smoking with stroke to. From this meta-analysis, it can be concluded that smoking increasing risk for stroke. This study found the risk of smokers to have a haemorrhagic stroke is higher than ischemic stroke.

scholarly journals Regional and chronological differences in prevalences of olfactory and gustatory dysfunction in coronavirus disease (COVID-19): a systemic review and meta-analysis

2020 ◽  
Author(s):  
Jeong-Whun Kim ◽  
Seung Cheol Han ◽  
Hyung Dong Jo ◽  
Sung-Woo Cho ◽  
Jin Youp Kim
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Olfactory Dysfunction ◽  
Systemic Review ◽  
Effect Model ◽  
Geographical Regions ◽  
Significant Difference ◽  
Subgroup Analyses

Abstract Olfactory and gustatory dysfunction are frequently reported in patients with coronavirus disease (COVID-19). However, the reported prevalence of olfactory and/or gustatory dysfunction varies widely, and the reason for the inter-study differences is unclear. Hence, in this meta-analysis, we performed subgroup analyses to investigate the factors that contribute to the inter-study variability in the prevalence of olfactory and gustatory dysfunction. Out of 943 citations, we included 55 eligible studies with 13,527 patients with COVID-19 for a systematic review. The overall pooled prevalences of olfactory and gustatory dysfunction were 51.4% and 47.5%, respectively, in the random-effect model. In subgroup analyses, the prevalences of olfactory and gustatory dysfunction were significantly different among four geographical regions (both P < 0.001, respectively). Although the prevalences of olfactory and gustatory dysfunction did not significantly differ according to the time of enrollment, the subgroup analyses including only studies from the same geographical region (Europe) revealed a significant difference in olfactory dysfunction according to the time of enrollment. The regional and chronological differences in the prevalences of olfactory and gustatory dysfunctions partly explain the wide inter-study variability.

scholarly journals Association between selenium intake and the risk of pancreatic cancer: a meta-analysis of observational studies

2016 ◽  
Vol 36 (5) ◽  
Author(s):  
Lei Wang ◽  
Jianfeng Wang ◽  
Xudong Liu ◽  
Qian Liu ◽  
Guozhuan Zhang ◽  
...  
Keyword(s):  
Pancreatic Cancer ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Epidemiological Studies ◽  
Case Control Studies ◽  
Selenium Intake ◽  
Effect Model ◽  
Summary Relative Risk

Quantification of the association between the intake of selenium and risk of pancreatic cancer is still conflicting. Thus, we conducted a meta-analysis to summarize the evidence from epidemiological studies of selenium intake with the risk of pancreatic cancer. Pertinent studies were identified by a search of PubMed and Web of Knowledge to July 2016. The random-effect model was used. Sensitivity analysis and publication bias were conducted. Data from six studies including 1424 pancreatic cancer cases were used in this meta-analysis. Pooled results suggested that highest selenium intake amount compared with lowest amount was significantly associated with the risk of pancreatic cancer [summary relative risk (RR)=0.659, 95% confidence interval (CI)=0.489–0.889, I2=47.6%]. The associations were significant both in case–control studies [RR=0.618, 95%CI=0.399–0.956, I2=59.1%] and Americas [RR=0.570, 95%CI=0.357–0.909, I2=65.6%]. No publication bias was found. Our analysis suggested that the higher intake of selenium might reduce the risk of pancreatic cancer.

Association of FOXP3 Polymorphisms with Susceptibility to Multiple Sclerosis: A Meta-Analysis on Genetic Association Studies

2020 ◽  
Vol 17 (2) ◽  
pp. 94-103
Author(s):  
Nazanin Mousavi ◽  
Seyyed Amir Yasin Ahmadi ◽  
Zahra Mahmoudi ◽  
Reza Nekouian ◽  
Bijan Ansari-moghaddam ◽  
...  
Keyword(s):  
Multiple Sclerosis ◽  
Risk Factor ◽  
Genetic Association ◽  
Association Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Genetic Association Studies ◽  
Genotype Frequencies ◽  
Effect Model

Objectives: OXP3 is a gene related to regulatory T cells existing on chromosome X. This meta-analysis, based on genetic association studies, was conducted to investigate the association of FOXP3 polymorphisms with susceptibility to multiple sclerosis (MS). Methods: All genetic association studies covering both FOXP3 and multiple sclerosis terms were searched in PubMed, Web of Science and Google Scholar. The information of genotype frequencies was summarized and results were synthesized through odds ratio (OR). Heterogeneity and publication bias were investigated using I2 scale and Begg's funnel plot, respectively. Results: For rs3761548 -3279 C/A polymorphism, AA/AY genotypes were a risk factor in comparison to CC/CY genotypes (P =0.022; OR =1.752; 95% confidence interval [CI] =1.084-2.830; random). AC genotype was a risk factor in comparison to CC/CY genotypes (P =0.004; OR =1.537; 95% CI =1.145-2.062; random) and homozygote genotypes (P =0.016; OR =1.216; 95% CI =1.038-1.426; fixed). For rs2232365 -924 G/A polymorphism, 2 significant associations were found according to a fixed effect model; of course, they did not remain significant in the random effect model. Conclusion: According to the collected populations, susceptibility to and protection from MS are associated with rs3761548 -3279 C/A upstream polymorphism. However, it should be regarded that this association is ethnicity dependent with low effect size.

scholarly journals Delirium risk of dexmedetomidine and midazolam in patients treated with postoperative mechanical ventilation: A meta-analysis

Open Medicine ◽  
2017 ◽  
Vol 12 (1) ◽  
pp. 252-256 ◽  
Author(s):  
Wang Peng ◽  
Shan Shimin ◽  
Wang Hongli ◽  
Zhang Yanli ◽  
Zhang Ying
Keyword(s):  
Mechanical Ventilation ◽  
Publication Bias ◽  
Postoperative Delirium ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Funnel Plot ◽  
Effect Model ◽  
Regression Test ◽  
Postoperative Mechanical Ventilation

AbstractObjectiveTo evaluate by meta-analysis the effects of dexmedetomidine versus midazolam on postoperative delirium in patients that received postoperative mechanical ventilation.MethodsThe electronic databases of PubMed, Web of Science, EMbase, CNKI, CBM, Cochrane library and WanFang were searched by two reviewers. All the clinical studies related to dexmedetomidine versus midazolam on postoperative delirium were screened and collected in this meta-analysis. The combined postoperative delirium risk between dexmedetomidine and midazolam groups was pooled by random effect model. The publication bias was assessed by Begg’s funnel plot and Egger’s line regression test.ResultsA total of six studies including 386 subjects (202 in the dexmedetomidine group and 184 in the midazolam group) were finally included in this meta-analysis. All six studies reported adequate sequence generation. Three studies used blindness methods and 2 publications were free of selective reporting. However, only 1 publication reported allocation concealment. Because of significant heterogeneity across the studies (I2=61.7%, p<0.05), the data were pooled by random effect model. Pooled data showed the postoperative delirium risk in the dexmedetomidine group was significantly lower than that of the midazolam group (RR=0.20 (095%CI:0.09~0.47, p<0.05)).The Begg’s funnel plot showed obvious asymmetry at the bottom and Egger’s line regression test also indicated significant publication bias (t=-6.51, p<0.05).ConclusionCompared with midazolam, patients that received dexmedetomidine for postoperative mechanical ventilation sedation had less risk of developing delirium.

scholarly journals Metabolic syndrome and the incidence of lung cancer: a meta-analysis of cohort studies

2020 ◽  
Vol 12 (1) ◽  
Author(s):  
Li Qiao ◽  
Deliang Ma ◽  
Hui Lv ◽  
Ding Shi ◽  
Min Fei ◽  
...  
Keyword(s):  
Lung Cancer ◽  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Smoking Status ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Current Evidence ◽  
Effect Model ◽  
Meta Analyses

Abstract Background Metabolic syndrome (MetS) has been related to the pathogenesis of variety categories of cancers. This meta-analysis aimed to determine the association between MetS and the incidence of lung cancer. Methods Relevant cohort studies were identified by search of PubMed, Embase, and Cochrane’s Library databases. Cochrane’s Q test and I2 statistic were used to analyze the heterogeneity. Random-effect model which incorporates the potential heterogeneity was used for the meta-analysis. Results Five cohort studies with 188,970 participants were included. A total of 1,295 lung cancer cases occurred during follow-up. Meta-analyses showed that neither MetS defined by the revised NCEP-ATP III criteria (hazard ratio [HR]: 0.94, 95% confidence interval [CI]: 0.84 to 1.05, p = 0.25; I2 = 0) nor the IDF criteria (HR: 0.82, 95% CI: 0.61 to 1.11, p = 0.20; I2 = 0) was associated with an affected risk of lung cancer. Subgroup analyses showed consistent results in women and in men, in studies performed in Asian and non-Asian countries, and in prospective and retrospective cohorts (p all > 0.05). Meta-analysis limited to studies with the adjustment of smoking status also showed similar results (HR: 0.91, 95% CI: 0.80 to 1.05, p = 0.21; I2 = 0). No publication bias was detected based on the Egger regression test (p = 0.32). Conclusions Current evidence from cohort studies does not support that MetS is an independent risk factor for the incidence of lung cancer.

scholarly journals Association between metabolic syndrome and the incidence of gastric cancer: a meta-analysis of cohort studies

2019 ◽  
Vol 11 (1) ◽  
Author(s):  
Zhibin Li ◽  
Hongfeng Han ◽  
Yuan Chang
Keyword(s):  
Gastric Cancer ◽  
Metabolic Syndrome ◽  
Cohort Studies ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
International Diabetes Federation ◽  
Current Evidence ◽  
Effect Model ◽  
Subgroup Analyses

Abstract Background Previous studies investigating the association between metabolic syndrome (MetS) and incidence of gastric cancer (GC) showed inconsistent results. The aim of the study was to evaluate the influence of MetS on GC risk in a meta-analysis. Methods Cohort studies that evaluating the association between MetS and GC were identified via systematic search of PubMed, Embase, Web of Science, and Scopus databases. Pooled analyses were performed via a random-effect model or a fixed effect model according to the heterogeneity among the studies. Predefined subgroup analyses were performed to evaluate whether gender or ethnic group of the patients affected the results. Results Overall, eight cohort studies with 8,745,671 participants were included, and 37,245 GC cases occurred during follow-up. Results showed that MetS defined by the revised National Cholesterol Education Program’s Adults Treatment Panel III criteria was not associated with a significantly affected GC risk (adjusted risk ratio [RR]: 1.03, p = 0.59; I2 = 79%). Subgroup analyses showed that MetS was not associated with a significantly affected risk of GC in male or female patients, and in Asians or Caucasians. Moreover, meta-analysis of four datasets showed that MetS defined by the International Diabetes Federation criteria was also not associated with a significant affected risk of GC (adjusted RR: 0.80, p = 0.05; I2 = 0%). Conclusions These results indicated that current evidence from epidemiological studies does not support that patients with MetS are at higher risk for the development of GC.

Association between Vitamin C Intake and Glioma Risk: Evidence from a Meta-Analysis

2015 ◽  
Vol 44 (1) ◽  
pp. 39-44 ◽  
Author(s):  
Siru Zhou ◽  
Xiaoya Wang ◽  
Ya Tan ◽  
Lingli Qiu ◽  
Huan Fang ◽  
...  
Keyword(s):  
Vitamin C ◽  
Publication Bias ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Case Control ◽  
Case Control Studies ◽  
Relative Risks ◽  
Effect Model ◽  
Glioma Risk

Background: The field of quantifying the association between the intake of vitamin C and risk of glioma still has conflicts. Thus, we performed a comprehensive meta-analysis to test the hypothesis that a high intake of vitamin C may be a protective effect on glioma risk. Methods: Pertinent studies were identified by a search in PubMed and Web of Knowledge up to June 2014. The random-effect model was used to combine study-specific results. Publication bias was estimated using Begg' funnel plot and Egger's regression asymmetry test. Results: Thirteen articles with 15 studies (2 cohort study and 13 case-control studies) involving 3,409 glioma cases about vitamin C intake and glioma risk were used in this meta-analysis. The combined relative risks (RRs) of glioma associated with vitamin C intake was 0.86 (95% CIs = 0.75-0.99). Overall, significant protective associations were also found in the American population (RRs = 0.85, 95% CIs = 0.73-0.98) and case-control studies (RRs = 0.80, 95% CIs = 0.69-0.93). No publication bias was found. Conclusions: Our analysis indicated that vitamin C intake might decrease the risk of glioma, especially among the Americans.

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