scholarly journals Predictive Symptoms and Signs of Severe Dengue Disease for Patients with Dengue Fever: A Meta-Analysis

2014 ◽  
Vol 2014 ◽  
pp. 1-10 ◽  
Author(s):  
H. Zhang ◽  
Y. P. Zhou ◽  
H. J. Peng ◽  
X. H. Zhang ◽  
F. Y. Zhou ◽  
...  
Keyword(s):  
Abdominal Pain ◽  
Meta Analysis ◽  
Random Effect ◽  
Armed Forces ◽  
Fixed Effect Model ◽  
Severe Dengue ◽  
Dengue Disease ◽  
Management Board ◽  
Effect Model ◽  
Increased Risk

The aim of the meta-analysis was to provide more solid evidence for the reliability of the new classification. A systematic literature search was performed using PubMed, Armed Forces Pest Management Board Literature Retrieval System, and Google Scholar up to August 2012. A pooled odds ratio (OR) was calculated using either a random-effect or a fixed-effect model. A total of 16 papers were identified. Among the 11 factors studied, five symptoms demonstrated an increased risk for SDD, including bleeding [OR: 13.617; 95% confidence interval (CI): 3.281, 56.508], vomiting/nausea (OR: 1.692; 95% CI: 1.256, 2.280), abdominal pain (OR: 2.278; 95% CI: 1.631, 3.182), skin rashes (OR: 2.031; 95% CI: 1.269, 3.250), and hepatomegaly (OR: 4.751; 95% CI: 1.769, 12.570). Among the four bleeding-related symptoms including hematemesis, melena, gum bleeding, and epistaxis, only hematemesis (OR: 6.174; 95% CI: 2.66, 14.334;P<0.001) and melena (OR: 10.351; 95% CI: 3.065, 34.956;P<0.001) were significantly associated with SDD. No significant associations with SDD were found for gender, lethargy, retroorbital pain, diarrhea, or tourniquet test, whereas headache appeared protective (OR: 0.555; 95% CI: 0.455, 0.676). The meta-analysis suggests that bleeding (hematemesis/melena), vomiting/nausea, abdominal pain, skin rashes, and hepatomegaly may predict the development of SDD in patients with DF, while headache may predict otherwise.

Correlation between methylene tetrahydrofolate reductase (MTHFR) gene rs1801133 C>T polymorphisms and risk of osteoporosis

Pteridines ◽  
2021 ◽  
Vol 32 (1) ◽  
pp. 117-125
Author(s):  
Xiao Chen ◽  
Weiran Zhang ◽  
Jingmin Huang
Keyword(s):  
Clinical Studies ◽  
Meta Analysis ◽  
Recessive Gene ◽  
Fixed Effect Model ◽  
Gene Model ◽  
Methylene Tetrahydrofolate Reductase ◽  
Effect Model ◽  
Increased Risk ◽  
Regression Test ◽  
Methylene Tetrahydrofolate

Abstract Objective To evaluate the correlation between methylene tetrahydrofolate reductase (MTHFR) gene rs1801133 C>T polymorphisms and risk of osteoporosis. Methods We searched the clinical studies related to MTHFR gene rs1801133 C>T polymorphisms and risk of osteoporosis in the electronic databases of PubMed, Web of Science, EMBASE, China National Knowledge Infrastructure (CNKI), Chinese BioMedical Literature Database (CBM) and included the suitable publications in the present meta-analysis according to the inclusion and exclusion criteria. The data of included studies were extracted and pooled by a random or fixed-effect model. The odds ratio (OR) and 95% confidence interval (95% CI) were applied to demonstrate the correlation between MTHFR gene rs1801133 C>T polymorphisms and the risk of osteoporosis. Publication bias was assessed by Begg’s funnel plot and Egger’s line regression test. Results Seven case–control clinical studies were included and a data combination was made. The data was pooled by the fixed effect model because of no obvious statistical heterogeneity. The pooled results indicated that people with the T allele had increased risk of developing osteoporosis under the homologous gene model (TT vs CC) (OR = 2.36, 95% CI: 1.81–3.08, p < 0.05), dominant gene model (TT + CT) vs CC (OR = 1.47, 95% CI: 1.21–1.77, p < 0.05) and recessive gene model TT vs (CC + CT) (OR = 2.16, 95% CI: 1.71–2.74, p < 0.05). Egger’s line regression test indicated no significant publication bias for the present meta-analysis in the above homologous, dominant, and recessive gene models. Conclusion The MTHFR gene rs1801133 C>T polymorphisms are associated with osteoporosis and subjects with the T allele have an increased risk of developing osteoporosis.

scholarly journals The Correlation of Glycemic Index, Glycemic Load, and Carbohydrates with the Risk of Hepatocellular Carcinoma: A Systematic Review and Meta-Analysis

2021 ◽  
Author(s):  
Long-Shan Yang ◽  
Guang-Xiao Meng ◽  
Zi-Niu Ding ◽  
Lun-Jie Yan ◽  
Sheng-Yu Yao ◽  
...  
Keyword(s):  
Hepatocellular Carcinoma ◽  
Glycemic Index ◽  
Hepatitis Virus ◽  
Meta Analysis ◽  
Glycemic Load ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Case Control Studies ◽  
Effect Model

Abstract Background Glycemic index (GI), glycemic load (GL), and carbohydrates have been shown to be associated with a variety of cancers, but their correlation with hepatocellular carcinoma (HCC) remains controversial. The purpose of our study was to investigate the correlation of GI, GL and carbohydrate with risk of HCC.Methods Systematic searches were conducted in PubMed, Embase and Web of Science until November 2020. According to the size of heterogeneity, the random effect model or the fixed effect model was performed to calculate the pooled relative risks (RRs) and 95% confidence intervals (CIs) for the correlation of GI, GL, and carbohydrates with the risk of HCC.Results Seven cohort studies involving 1,193,523 participants and 1,004 cases, and 3 case-control studies involving 827 cases and 5,502 controls were eventually included. The pooled results showed no significant correlation of GI (RR=1.11, 95%CI 0.80-1.53, I2= 62.2%), GL (RR=1.09, 95%CI 0.76-1.55, I2 = 66%), and carbohydrate (RR=1.09, 95%CI 0.84-1.32, I2=0%) with the risk of HCC in general population. Subgroup analysis revealed that in hepatitis B virus (HBV) or/and hepatitis C virus (HCV)-positive group, GI was not correlated with the risk of HCC (RR=0.65, 95%CI 0.32-1.32, p=0.475, I2=0.0%), while GL was significantly correlated with the risk of HCC (RR=1.52, 95%CI 1.04-2.23, p=0.016, I2=70.9%). In contrast, in HBV and HCV-negative group, both GI (RR=1.23, 95%CI 0.88-1.70, p=0.222, I2=33.6%) and GL (RR=1.17, 95% CI 0.83-1.64, p=0.648, I2=0%) were not correlated with the risk of HCC. Conclusion A high GL diet is correlated with a higher risk of HCC in people with hepatitis virus. A low GL diet may be recommended for patients with viral hepatitis to reduce the risk of HCC.

scholarly journals 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

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).

scholarly journals Cyp2C19*2 Polymorphism Related to Clopidogrel Resistance in Patients With Coronary Heart Disease, Especially in the Asian Population: A Systematic Review and Meta-Analysis

2020 ◽  
Vol 11 ◽  
Author(s):  
Ying Sun ◽  
Qing Lu ◽  
Xuefei Tao ◽  
Biao Cheng ◽  
Guoxing Yang
Keyword(s):  
Gene Polymorphism ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Asian Population ◽  
Fixed Effect Model ◽  
Clopidogrel Resistance ◽  
Effect Model ◽  
The Relationship ◽  
Allele Model

In recent years, the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance reflected by platelet function assay has been studied extensively, but there is no clear conclusion yet. In order to evaluate the relationship between Cyp2C19*2 gene polymorphism and clopidogrel resistance more accurately, meta-analysis was conducted in this study. The I2 value taking 50% as the limit, the heterogeneity is judged as high or low, and then a random effect model or a fixed effect model is selected for statistical analysis. PubMed, EMBASE, Web of Science, CNKI, and China Wanfang database were searched, and the related literatures from the establishment of the database to May 2020 were collected and analyzed by STATA 15.0 software. A total of 3,073 patients were involved in 12 studies, including 1,174 patients with clopidogrel resistance and 1,899 patients with non-clopidogrel resistance. The results of this study showed that allele model (A vs. G): OR = 2.42 (95%CI: 1.97–2.98); dominant model (AA+GA vs. GG): OR = 2.74 (95%CI: 2.09–3.59); recessive model (AA vs. GA+GG): OR = 4.07 (95%CI: 3.06–5.41); homozygous model (AA vs. GG): OR = 5.70 (95%CI: 4.22–7.71); heterozygote model (GA vs. GG): OR = 2.32 (95%CI: 1.76–3.07), the differences were statistically significant. Also, the analysis of the Ethnicity subgroup indicated that the Asian allele model and the other four gene models were statistically significant. In conclusion, Cyp2C19*2 gene polymorphism is strongly associated with clopidogrel resistance. Allele A, genotype GA, AA, and GG + GA can increase clopidogrel resistance, especially in the Asian population.

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 History and Spread of Viruses (COVID-19) and Associated Demographic and Clinical Parameters – A systematic review and meta-analysis

2021 ◽  
Vol 33 (1) ◽  
pp. 9-24
Author(s):  
Swambhavi Awasthi ◽  
Sunil Sharma ◽  
Saurav Attri ◽  
Sakshi Malik Attri ◽  
Rajesh Sharawat ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Primary Objective ◽  
Asymptomatic Patients ◽  
Effect Model ◽  
Co Morbidity ◽  
The Common ◽  
Meta Analyses

COVID-19 made a huge impact on the world due to its rapid transmission and no treatments being available for it. The virus affected more people and spread to various countries than what was predicted when COVID-19 initially began spreading. There have been numerous pandemics and epidemics in the 21st century yet COVID-19 has affected more people and spread widely. The primary objective of the study was to explore history, spread and associated parameters of existing viruses especially COVID-19. Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guideline was followed for a systematic search to identify eligible published articles. Clinical data, regarding COVID-19 patients, was obtained from previously published articles. The main cause of COVID-19 spreading rapidly was noted to be due to a high percentage of asymptomatic patients, transmission being air-borne, and the lack of knowledge and preventative measures being implemented when the virus began spreading. The common co-morbidity that found in patients was Diabetes Mellitus, Hypertension, and Coronary Heart Disease. The common symptoms, found through the Meta-analysis, that the patients faced included cough (55.4%), fever (68.4%), fatigue (20.3%), and shortness of breath (18.1%). The proportion of asymptotic positive cases was measured 58.3% (95%CI: 24.7% – 87.9%) while mortality proportion was found to be 6.7% (fixed-effect model) and 13.4% (random-effect model). The Meta-analysis indicated that a higher percentage of males were affected by COVID-19 than females and more patients are found to be asymptomatic. Moreover, the mortality rate of patients that have had COVID-19 was found to be low. 

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

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.

scholarly journals A systematic review and meta-analysis of the efficacy and safety of remdesivir in COVID-19 patients

2021 ◽  
Vol 4 (1) ◽  
pp. 298-303
Author(s):  
Sumanta Saha ◽  
Sujata Saha
Keyword(s):  
Systematic Review ◽  
Meta Analysis ◽  
Random Effect ◽  
Fixed Effect Model ◽  
Evidence Based ◽  
Efficacy And Safety ◽  
Randomized Controlled ◽  
Effect Model ◽  
Pubmed Database ◽  
The Us

Background: This systematic review compares the efficacy and safety of remdesivir between its recipient and non-recipient COVID-19 patients from the recently published randomized controlled trials (RCT).  Methods: For eligible trials comparing the above outcomes, a literature search took place in the PubMed database. The reviewed trials data were abstracted and critically appraised using the Cochrane tool. Then, a random-effect meta-analysis followed to compare the risk between the compared interventions in risk ratio (RR). By plying the I2 and Chi2 statistics, the heterogeneity estimation happened. A sensitivity analysis iterated the preliminary meta-analysis using a fixed-effect model. Results: Two eligible RCTs included in this review sourced data from about 833 COVID-19 patients from 115 hospitals in Asia, Europe, and the US. The risk of bias was primarily low. Random-effect meta-analysis suggested a clinical improvement (RR: 1.09; 95% CI: 1.02, 1.16; P=0.02; I2: 0%) and decrease in the risk of any serious side effects (RR: 0.64; 95% CI: 0.43, 0.94; P<0.001; I2: 0%) in the remdesivir treated COVID-19 patients. The rest of the outcomes did not vary between the juxtaposed interventions. Conclusion: Evidence-based on early RCTs suggest that remdesivir is a clinically useful and safe drug to treat COVID-19 patients.

scholarly journals A Bayesian Model-Averaged Meta-Analysis of the Power Pose Effect with Informed and Default Priors: The Case of Felt Power

2017 ◽  
Author(s):  
Quentin Frederik Gronau ◽  
Sara van Erp ◽  
Daniel W. Heck ◽  
Joseph Cesario ◽  
Kai Jonas ◽  
...  
Keyword(s):  
Bayesian Model ◽  
Bayesian Model Averaging ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Model Averaging ◽  
Fixed Effect Model ◽  
Body Postures ◽  
Effect Model ◽  
Meta Analyses

Carney, Cuddy, and Yap (2010) found that --compared to participants who adopted constrictive body postures-- participants who adopted expansive body postures reported feeling more powerful, showed an increase in testosterone and a decrease in cortisol, and displayed anincreased tolerance for risk. However, these power pose effects have recently come under considerable scrutiny. Here we present a Bayesian meta-analysis of six preregistered studies from this special issue, focusing on the effect of power posing on felt power. Our analysisimproves on standard classical meta-analyses in several ways. First and foremost, we considered only preregistered studies, eliminating concerns about publication bias. Second, the Bayesian approach enables us to quantify evidence for both the alternative and the null hypothesis. Third, we use Bayesian model-averaging to account for the uncertainty with respect to the choice for a fixed-effect model or a random-effect model. Fourth, based on a literature review we obtained an empirically informed prior distribution for the between-studyheterogeneity of effect sizes. This empirically informed prior can serve as a default choice not only for the investigation of the power pose effect, but for effects in the field of psychology more generally. For effect size, we considered a default and an informed prior. Our meta-analysis yields very strong evidence for an effect of power posing on felt power. However, when the analysis is restricted to participants unfamiliar with the effect, the meta-analysis yields evidence that is only moderate.

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.

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