Snoring Is Associated With Increased Risk of Stroke: A Cumulative Meta-Analysis

Background: Several studies have suggested that snoring is associated with an increased risk of stroke; however, the results are inconsistent. We aim to conduct a systematic review and meta-analysis of observational studies assessing the association between snoring and the risk of stroke in adults.Methods: We searched PubMed for relevant studies. A random-effect model was adopted to summary relative risks (RRs), and forest plots from a cumulative meta-analysis method were used for a better presentation of how the pooled RRs changed as updated evidence accumulated.Results: The literature search yielded 16 articles that met our inclusion criteria, and a total of 3,598 stroke patients and 145,901 participants were finally included in our analysis. A consistent trend toward association was found after the initial discovery, and the summary analysis indicated that snoring is associated with a 46% (RR, 1.46; 95%CI, 1.29–1.63; p < 0.001) increased risk of stroke.Conclusions: Snoring is associated with a significantly increased risk for stroke, up to 46%. The importance of the current study lies in that we provide an imputes to take a more active approach against the increased risk of stroke in snorers.

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ASSOCIATION OF IL-8 -251T>A (RS4073) POLYMORPHISM WITH SUSCEPTIBILITY TO GASTRIC CANCER: A SYSTEMATIC REVIEW AND META-ANALYSIS BASED ON 33 CASE-CONTROL STUDIES

Arquivos de Gastroenterologia ◽

10.1590/s0004-2803.202000000-16 ◽

2020 ◽

Vol 57 (1) ◽

pp. 91-99

Author(s):

Mansour MOGHIMI ◽

Seyed Alireza DASTGHEIB ◽

Naeimeh HEIRANIZADEH ◽

Mohammad ZARE ◽

Elnaz SHEIKHPOUR ◽

...

Keyword(s):

Gastric Cancer ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Case Control ◽

Case Control Studies ◽

Effect Model ◽

Increased Risk ◽

Mixed Populations ◽

Stratified Analysis

ABSTRACT BACKGROUND: The role of -251A>T polymorphism in the anti-inflammatory cytokine interleukin-8 (IL-8) gene in gastric cancer was intensively evaluated, but the results of these studies were inconsistent. OBJECTIVE: Therefore, we performed a meta-analysis to provide a comprehensive data on the association of IL-8 -251T>A polymorphism with gastric cancer. METHODS: All eligible studies were identified in PubMed, Web of Science, EMBASE, Wanfang and CNKI databases before September 01, 2019. The pooled odds ratios (ORs) with 95% confidence intervals (CIs) were derived from a fixed effect or random effect model. RESULTS: A total of 33 case-control studies with 6,192 cases and 9,567 controls were selected. Overall, pooled data showed that IL-8 -251T>A polymorphism was significantly associated with an increased risk of gastric cancer under all five genetic models, i.e., allele (A vs T: OR=1.189, 95% CI 1.027-1.378, P=0.021), homozygote (AA vs TT: OR=1.307, 95% CI 1.111-1.536, P=0.001), heterozygote (AT vs TT: OR=1.188, 95% CI 1.061-1.330, P=0.003), dominant (AA+AT vs TT: OR=1.337, 95% CI 1.115-1.602, P=0.002) and recessive (AA vs AT+TT: OR=1.241, 95% CI 1.045-1.474, P=0.014). The stratified analysis by ethnicity revealed an increased risk of gastric cancer in Asians and mixed populations, but not in Caucasians. Moreover, stratified by country found a significant association in Chinese, Korean and Brazilian, but not among Japanese. CONCLUSION: This meta-analysis suggests that the IL-8 -251T>A polymorphism is associated with an increased risk of gastric cancer, especially by ethnicity (Asian and mixed populations) and country (Chinese, Korean and Brazilian).

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Abdominal obesity and gastroesophageal cancer risk: systematic review and meta-analysis of prospective studies

Bioscience Reports ◽

10.1042/bsr20160474 ◽

2017 ◽

Vol 37 (3) ◽

Cited By ~ 21

Author(s):

Xuan Du ◽

Khemayanto Hidayat ◽

Bi-Min Shi

Keyword(s):

Esophageal Cancer ◽

Abdominal Obesity ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Final Analysis ◽

Gastric Cardia Adenocarcinoma ◽

Gastroesophageal Cancer ◽

Relative Risks ◽

Increased Risk

To systematically and quantitatively review the relation of abdominal obesity, as measured by waist circumference (WC) and waist to hip ratio (WHR), to total gastroesophageal cancer, gastric cancer (GC), and esophageal cancer. PubMed and Web of Science databases were searched for studies assessing the association between abdominal obesity and gastroesophageal cancer (GC and/or esophageal cancer) up to August 2016. A random-effect model was used to calculate the summary relative risks (RRs) and 95% confidence intervals (CIs). Seven prospective cohort studies – one publication included two separate cohorts – from six publications were included in the final analysis. A total of 2130 gastroesophageal cancer cases diagnosed amongst 913182 participants. Higher WC and WHR were significantly associated with increased risk of total gastroesophageal cancer (WC: RR 1.68, 95% CI: 1.38, 2.04; WHR: RR 1.49, 95% CI: 1.19, 1.88), GC (WC: RR 1.48, 95% CI: 1.24, 1.78; WHR: 1.33, 95% CI: 1.04, 1.70), and esophageal cancer (WC: RR 2.06, 95% CI: 1.30, 3.24; WHR: RR 1.99, 95% CI: 1.05, 3.75).Findings from our subgroup analyses showed non-significant positive associations between gastric non-cardia adenocarcinoma (GNCA) and both measures of abdominal adiposity, while gastric cardia adenocarcinoma (GCA) was positively associated with WC but not with WHR. On analysis restricted to studies that adjusted for body mass index (BMI), WC was positively associated with GC and esophageal cancer, whereas WHR was positively associated with risk of GC only. Although limited, the findings from our meta-analysis suggest the potential role of abdominal obesity in the etiology of gastric and esophageal cancers.

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

Journal of Orthopaedic Surgery and Research ◽

10.1186/s13018-020-02097-4 ◽

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.

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Head Injury and Parkinson Disease: Updated Evidence from Meta-Analysis Studies

10.21203/rs.3.rs-31754/v1 ◽

2020 ◽

Author(s):

yanhu ji ◽

Junjun Xue ◽

Yuhuan Ling ◽

Chunhan Shen ◽

Niannian Li ◽

...

Keyword(s):

Head Injury ◽

Web Of Science ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

The Unconscious ◽

Analysis Study ◽

Effect Model ◽

Increased Risk ◽

Unconscious State

Abstract Background Published studies on head injury and Parkinson's risk(PD) were inconsistent. We performed a meta-analysis study to explore the association.Methods We retrieved articles published in English from PubMed, Web of Science, Scopus and ScienceDirect between January 1, 1990 and December 31, 2019. The pooled effect of head injury and PD risk was calculated by a random effect model.Results In the meta-analysis, there were 21 studies, including 214763 individuals and 39209 PD patients. The pooled OR estimates(ORs) showed an increased risk of PD was correlated with head injury(OR = 1.46, 95% CI 1.29–1.66). Considering the unconscious state, head injury with LOC showed significant association with PD(OR = 1.49, 95%CI 1.28–1.74). However, head injury without LOC had no significant association with PD (OR = 0.57, 95% CI 0.29–1.12). Sensitivity analysis showed that, when any one study was excluded, the results did not change significantly.Conclusions Our research shows that head injury was associated with PD risk.This study provides a basis and reference for further study on head injury and PD.

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Association between Anemia and Risk of Parkinson Disease

Behavioural Neurology ◽

10.1155/2021/8360627 ◽

2021 ◽

Vol 2021 ◽

pp. 1-8

Author(s):

Yao-Chin Wang ◽

Abel Po-Hao Huang ◽

Sheng-Po Yuan ◽

Chu-Ya Huang ◽

Chieh-Chen Wu ◽

...

Keyword(s):

Systematic Review ◽

Parkinson Disease ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Epidemiological Studies ◽

Effect Model ◽

Increased Risk ◽

Male Patients ◽

Risk Ratios

Background and Objective. People with anemia have higher rates of developing Parkinson disease (PD) than the general population. Previous epidemiological studies have invested the risk of PD in patients with anemia. However, the findings are still inconclusive. Therefore, we did a systematic review with meta-analysis to clarify the association between anemia and risk of PD. Methods. We systematically searched articles on electronic databases such as PubMed, Embase, Scopus, and Google Scholar between January 1, 2000 and July 30, 2020. Articles were independently evaluated by two authors. We included observational studies (case-control and cohort) and calculated the risk ratios (RRs) for associated with anemia and PD. Heterogeneity among the studies was assessed using the Q and I 2 statistic. We utilized the random-effect model to calculate the overall RR with 95% CI. Results. A total of 342 articles were identified in the initial searches, and 7 full-text articles were evaluated for eligibility. Three articles were further excluded for prespecified reasons including insufficient data and duplications, and 4 articles were included in our systematic review and meta-analysis. A random effect model meta-analysis of all 4 studies showed no increased risk of PD in patients with anemia ( N = 4 , R R adjusted = 1.17 (95% CI: 0.94-1.45, p = 0.15 ). However, heterogeneity among the studies was significant ( I 2 = 92.60 , p = < 0.0001 ). The pooled relative risk of PD in female patients with anemia was higher ( N = 3 , R R adjusted = 1.14 (95% CI: 0.83-1.57, p = 0.40 ) as compared to male patients with anemia ( N = 3 , R R adjusted = 1.09 (95% CI: 0.83-1.42, p = 0.51 ). Conclusion. This is the first meta-analysis that shows that anemia is associated with higher risk of PD when compared with patients without anemia. However, more studies are warranted to evaluate the risk of PD among patients with anemia.

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Effect of Hydroxychloroquine on QTc in Patients Diagnosed with COVID-19: A Systematic Review and Meta-Analysis

Journal of Cardiovascular Development and Disease ◽

10.3390/jcdd8050055 ◽

2021 ◽

Vol 8 (5) ◽

pp. 55

Author(s):

Angelos Arfaras-Melainis ◽

Andreas Tzoumas ◽

Damianos G. Kokkinidis ◽

Maria Salgado Guerrero ◽

Dimitrios Varrias ◽

...

Keyword(s):

Systematic Review ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Hospitalized Patients ◽

Qtc Interval ◽

Inclusion Criteria ◽

Qtc Prolongation ◽

Effect Model

Background: Hydroxychloroquine or chloroquine with or without the concomitant use of azithromycin have been widely used to treat patients with SARS-CoV-2 infection, based on early in vitro studies, despite their potential to prolong the QTc interval of patients. Objective: This is a systematic review and metanalysis designed to assess the effect of hydroxychloroquine with or without the addition of azithromycin on the QTc of hospitalized patients with COVID-19. Materials and methods: PubMed, Scopus, Cochrane and MedRxiv databases were reviewed. A random effect model meta-analysis was used, and I-square was used to assess the heterogeneity. The prespecified endpoints were ΔQTc, QTc prolongation > 500 ms and ΔQTc > 60 ms. Results: A total of 18 studies and 7179 patients met the inclusion criteria and were included in this systematic review and meta-analysis. The use of hydroxychloroquine with or without the addition of azithromycin was associated with increased QTc when used as part of the management of patients with SARS-CoV-2 infection. The combination therapy with hydroxychloroquine plus azithromycin was also associated with statistically significant increases in QTc. Moreover, the use of hydroxychloroquine alone, azithromycin alone, or the combination of the two was associated with increased numbers of patients that developed QTc prolongation > 500 ms. Conclusion: This systematic review and metanalysis revealed that the use of hydroxychloroquine alone or in conjunction with azithromycin was linked to an increase in the QTc interval of hospitalized patients with SARS-CoV-2 infection that received these agents.

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Cardiac Arrhythmias and COVID-19 – a Meta-analysis of Recent Reports

10.21203/rs.3.rs-37700/v1 ◽

2020 ◽

Author(s):

Husam M. I. Salah ◽

Jawahar L. Mehta

Keyword(s):

Cardiac Arrhythmias ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Case Series ◽

Severe Illness ◽

Inclusion Criteria ◽

Effect Model ◽

Study Population ◽

Novel Coronavirus

Abstract Introduction: The 2019 novel coronavirus disease (COVID-19) is a current pandemic. Cardiovascular manifestations of COVID-19 have been described in many studies; however, no studies have examined the prevalence and characterizations of cardiac arrhythmias among patients with COVID-19 infection. The aim of this meta-analysis was to examine the prevalence of cardiac arrhythmias among patients with COVID-19 infection.Method: PubMed, Google Scholar, and ResearchGate databases were searched for relevant articles from inception until June 14, 2020. Inclusion criteria were: 1) Cohort studies or case series studies; 2) Study population included individuals with confirmed COVID-19 infection; 3) Arrhythmic events were reported in the study. All other studies were excluded. MedCalc software was used to analyze the pooled data. The random-effect model was utilized to obtain the prevalence of arrhythmia among the included patients and its 95% confidence interval. Cohran's Q and I2 index were used for heterogeneity measurements. The main planned outcome was the prevalence of arrhythmia among patients with COVID-19 infection.Results: Thirteen studies with a total of 2861 patients met our inclusion criteria. The prevalence of arrhythmia among patients with COVID-19 infection was 8.1% (95% CI [6.10, 10.37]). 82.8% of the patients who had arrhythmia has severe illness (95% CI [70.916, 92.124]).Conclusion: The prevalence of arrhythmias among patients with COVID-19 infection is 8.1%, which is much higher than in the general population (2.35%).

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

Neuroepidemiology ◽

10.1159/000369814 ◽

2015 ◽

Vol 44 (1) ◽

pp. 39-44 ◽

Cited By ~ 20

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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What Intervention Techniques Are Effective in Changing Positive Affective Variables and Physical Activity? A Systematic Review and Meta-Analysis

Frontiers in Psychology ◽

10.3389/fpsyg.2021.628993 ◽

2021 ◽

Vol 12 ◽

Author(s):

Cheng Chen ◽

Emily Finne ◽

Alexandra Kopp ◽

Darko Jekauc

Keyword(s):

Physical Activity ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Identification Problem ◽

Inclusion Criteria ◽

Positive Effects ◽

Effect Model ◽

Analytic Review ◽

Affective Variables

A recent meta-analysis has demonstrated that positive affective variables (PAVs) partially mediate physical activity (PA) interventions. However, the effectiveness of each intervention technique on PAVs and PA is still unknown. Thus, this meta-analytic review included two primary objectives: (1) to summarize intervention effects on PA and PAVs; (2) to examine each behavior change technique's effectiveness in modifying PAVs and PA. Following PRISMA protocols, we had searched five electronic databases by April 1, 2020. The random-effect model in the Comprehensive Meta-Analysis Version 3 was adopted to perform these meta-analytic analyses. The search identified 1,742 articles, and 37 studies (49 datasets) met our inclusion criteria. Finally, inferential statistics yielded that: the utilization of “teach to use prompts/cues,” “facilitate social comparison,” and “provide information on consequences of behavior in general” had positive effects on PA or PAVs outcomes; the utilization of “barrier identification/problem solving” and “plan social support/social change” negatively affected on PA or PAVs outcomes. However, there was considerable heterogeneity in the findings. Nonetheless, this paper has considerable implications for guiding future comparative intervention studies to achieve more reliable outcomes.

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Association Between MTHFD1 1958G > A Variant and non-Syndromic Cleft lip and Palate: An Updated Meta-Analysis

The Cleft Palate-Craniofacial Journal ◽

10.1177/10556656211046486 ◽

2021 ◽

pp. 105566562110464

Author(s):

Manas R. Purohit ◽

Lakkakula Saikrishna ◽

Henu Verma ◽

L.V.K.S. Bhaskar ◽

Syed A. Hussain

Keyword(s):

Cleft Lip ◽

Cleft Lip And Palate ◽

Meta Analysis ◽

Random Effect ◽

Random Effect Model ◽

Congenital Deformities ◽

Effect Model ◽

Increased Risk ◽

Funnel Plots

Introduction Non-syndromic cleft lip and palate (NSCLP) is one of the most common and challenging congenital deformities worldwide. Previous research has linked the methylenetetrahydrofolate dehydrogenase1 (MTHFD1) gene to orofacial cleft (OFC) susceptibility via a complex metabolism. Studies analyzing the MTHFD1 1958G > A variant and NSCLP are contradictory. This study aims to evaluate the association between the MTHFD1 1958G > A variant and NSCLP by meta-analysis. Methods PubMed, Web of Science, MEDLINE, and Google Scholar databases were searched to retrieve the eligible studies. A fixed- or random-effect model was used to calculate pooled odds ratio (OR) and 95% confidence interval (CI). All analyses were calculated by Metagenyo software. To detect heterogeneity, the Cochrane Q and I2 statistics were used. The publication bias was estimated using funnel plots and Egger’s test. Results Our study suggested that the MTHFD1 1958G > A variant allele “A” does not appear to increase the risk of NSCLP (A vs G random effect model: Overall P = .501, OR = 1.07, CI = 0.88–1.31; Asians P = .245, OR = 1.29, CI = 0.84–1.97; Caucasians P = .658, OR = 0.95, CI = 0.76–1.19). Similarly, mutant genotypes also did not exhibit increased risk for NSCLP in the overall populations as well in subgroup analysis by ethnicity (AA + AG vs GG: Overall P = .684, OR = 1.06, CI = 0.80–1.39; Asians P = .240, OR = 1.47, CI = 0.77–2.78; Caucasians P = .923, OR = 0.99, CI = 0.85–1.16). Conclusions Our data suggest no association between the MTHFD1 1958G > A variant and NSCLP. Additional well-designed studies are needed to better understand the role of MTHFD1 polymorphisms in the etiopathogenesis of NSCLP.

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