scholarly journals Association between Migraine and the Risk of Stroke: A Bayesian Meta-Analysis

2021 ◽  
Vol 13 (7) ◽  
pp. 3759
Author(s):  
Kim-Ngan Ta-Thi ◽  
Kai-Jen Chuang ◽  
Chyi-Huey Bai
Keyword(s):  
Ischemic Stroke ◽  
Hemorrhagic Stroke ◽  
Stroke Risk ◽  
Meta Analysis ◽  
Credible Interval ◽  
Fixed Effect Model ◽  
Bayesian Approaches ◽  
Effect Model ◽  
Newcastle Ottawa Scale ◽  
Form Quality

There are still inconsistent results about association between migraine and stroke risk in studies. This paper was to review findings on the association between migraine (with or without aura) and stroke risk. We searched articles in the Embase and PubMed up to January 2021. Two independent reviewers extracted basic data from individual studies using a standardized form. Quality of studies was also assessed using the Newcastle–Ottawa Scale. We conducted a meta-analysis, both classical and Bayesian approaches. We identified 17 eligible studies with a sample size more than 2,788,000 participants. In the fixed effect model, the results demonstrated that migraine was positively associated with the risk of total stroke, hemorrhagic stroke, and ischemic stroke. Nevertheless, migraine was associated with only total stroke in the random effects model (risk ratio (RR) 1.31, 95%CI: 1.06–1.62). The probability that migraine increased total stroke risk was 0.978 (RR 1.31; 95% credible interval (CrI): 1.01–1.72). All types of migraine were not associated with ischemic stroke and hemorrhagic stroke. Under three prior distributions, there was no association between migraine and the risk of ischemic stroke or hemorrhagic stroke. Under the non-informative prior and enthusiastic prior, there was a high probability that migraine was associated with total stroke risk.

scholarly journals Does statin increase the risk of intracerebral hemorrhage in stroke survivors? A meta-analysis and trial sequential analysis

2019 ◽  
Vol 12 ◽  
pp. 175628641986483 ◽  
Author(s):  
Ru Jian Jonathan Teoh ◽  
Chi-Jung Huang ◽  
Chi Peng Chan ◽  
Li-Yin Chien ◽  
Chih-Ping Chung ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Intracerebral Hemorrhage ◽  
Statin Therapy ◽  
Sequential Analysis ◽  
Hemorrhagic Stroke ◽  
Stroke Risk ◽  
Meta Analysis ◽  
Trial Sequential Analysis ◽  
Stroke Survivors ◽  
Composite Endpoints

Background: It remains debatable whether statin increases the risk of intracerebral hemorrhage (ICH) in poststroke patients. Methods: We systematically searched PubMed, EMBASE, and CENTRAL for randomized controlled trials. Trial sequential analysis (TSA) was conducted to assess the reliability and conclusiveness of the available evidence in the meta-analysis. To evaluate the overall effectiveness, the net composite endpoints were derived by totaling ischemic stroke, hemorrhagic stroke, transient ischemic attack (TIA), myocardial infarction, and cardiovascular mortality. Results: A total of 17 trials with 11,576 subjects with previous ischemic stroke, TIA, or ICH were included, in which statin therapy increased the risk of hemorrhagic stroke (risk ratio [RR], 1.42; 95% confidence interval [CI], 1.07–1.87), but reduced the risk of ischemic stroke (RR, 0.85; 95% CI, 0.75–0.95). For the net composite endpoints, statin therapy was associated with a 17% risk reduction (95% CI, 12–21%; number needed to treat = 6). With a control event rate 2% and RR increase 40%, the TSA suggested a conclusive signal of an increased risk of hemorrhagic stroke in stroke survivors taking statin. However, with the sensitivity analysis by changing assumptions, the conclusions about hemorrhagic stroke risk were less robust. Conclusions: Statin therapy in poststroke patients increased the risk of hemorrhagic stroke but effectively reduced ischemic stroke risk. Weighing the benefits and potential harms, statin has an overall beneficial effect in patients with previous stroke or TIA. However, more studies are required to investigate the conclusiveness of the increased hemorrhagic stroke risk revealed in our study.

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 Impact of Influenza Vaccination on All-Cause Mortality and Hospitalization for Pneumonia in Adults and the Elderly with Diabetes: A Meta-Analysis of Observational Studies

Vaccines ◽  
2020 ◽  
Vol 8 (2) ◽  
pp. 263
Author(s):  
Angela Bechini ◽  
Alessandra Ninci ◽  
Marco Del Riccio ◽  
Ilaria Biondi ◽  
Jacopo Bianchi ◽  
...  
Keyword(s):  
Influenza Vaccination ◽  
Meta Analysis ◽  
The Elderly ◽  
Fixed Effect Model ◽  
Diabetic Patients ◽  
Virus Infections ◽  
Effect Model ◽  
Newcastle Ottawa Scale ◽  
Grade Methodology

Diabetes is a chronic condition that can be worsened by complications such as seasonal influenza virus infections. The aim of the present meta-analysis is the systematic retrieval and analysis of all available evidence on the effects of an influenza vaccine on diabetic patients. We conducted a systematic review and meta-analysis by searching MEDLINE, Embase and the Cochrane databases from inception until April 2019. We included all types of studies reporting on the effectiveness of influenza vaccination in adult and elderly patients with type 1 and type 2 diabetes. The Newcastle-Ottawa scale was used to assess risk of bias, the GRADE methodology was used to assess the evidence for each outcome. A total of 2261 studies were identified, of those, 6 studies completely fulfilled the inclusion criteria. In the 6 studies included in the analysis, influenza vaccination was associated with a lower mortality rate (Mantel Haenszel Odds Ratio (MH-OR), 95% CI: 0.54 (0.40; 0.74), p < 0.001). Patients who received influenza vaccination showed a lower risk of hospitalization for pneumonia (MH-OR, 95% CI: 0.89; (0.80; 0.98), p = 0.18). A sensitivity analysis using fixed effect model confirmed the results (MH-OR, 95% CI: 0.91; (0.87; 0.96); p = 0.001). The results of this meta-analysis are clinically relevant and support the recommendation for all persons with diabetes to receive influenza vaccination.

scholarly journals Coffee consumption and the risk of cerebrovascular disease: a meta-analysis of prospective cohort studies

BMC Neurology ◽  
2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Lung Chan ◽  
Chien-Tai Hong ◽  
Chyi-Huey Bai
Keyword(s):  
Ischemic Stroke ◽  
Cohort Studies ◽  
Prospective Cohort ◽  
Hemorrhagic Stroke ◽  
Stroke Risk ◽  
Meta Analysis ◽  
Coffee Consumption ◽  
Healthy People ◽  
Prospective Cohort Studies

Abstract Background Stroke is a crucial health threat to adults worldwide. Despite extensive knowledge of risk-factor mitigation, no primary prevention exists for healthy people. Coffee is a widely consumed beverage globally. Health benefit of coffee for several neurological diseases has been identified; however, the association between stroke risk and coffee consumption in healthy people has not been determined. We investigated the effect of coffee on stroke risk by conducting a meta-analysis of prospective cohort studies. Methods Electronic databases, namely PubMed, BioMed Central, Medline, and Google Scholar, were searched using terms related to stroke and coffee. Articles that described clear diagnostic criteria for stroke and details on coffee consumption were included. The reference lists of relevant articles were reviewed to identify eligible studies not shortlisted using these terms. Enrolled studies were grouped into three outcome categories: overall stroke, hemorrhagic stroke, and ischemic stroke. Results Seven studies were included and all of them were large-scale, long-term, follow-up cohort studies of a healthy population. Upon comparing the least-coffee-consuming groups from each study, the meta-analysis revealed a reduction in the risk of overall stroke during follow-up (hazard ratio [HR] for overall stroke = 0.922, 95% confidence interval [CI] = 0.855–0.994, P = 0.035). In studies with a clear definition of hemorrhagic and ischemic stroke, coffee consumption reduced the risk of ischemic stroke more robustly than that of hemorrhagic stroke (hemorrhagic, HR = 0.895, 95% CI = 0.824–0.972, P = .008; ischemic, HR = 0.834, 95% CI = 0.739–0.876, P < .001). No obvious dose-dependent or U-shaped effect was observed. Conclusions Coffee consumption reduces the risk of overall stroke, especially ischemic stroke. Further investigation is required to identify beneficial components in coffee, including caffeine and phenolic acids, to develop preventive medication for stroke.

scholarly journals Hemorrhagic and ischemic stroke in patients with coronavirus disease 2019: incidence, risk factors, and pathogenesis - a systematic review and meta-analysis

F1000Research ◽  
2021 ◽  
Vol 10 ◽  
pp. 34
Author(s):  
Syahrul Syahrul ◽  
Helnida Anggun Maliga ◽  
Muhammad Ilmawan ◽  
Marhami Fahriani ◽  
Sukamto S. Mamada ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Mortality Rate ◽  
Hemorrhagic Stroke ◽  
Meta Analysis ◽  
Mortality Rates ◽  
Stroke Incidence ◽  
Pooled Prevalence ◽  
Incidence Risk ◽  
Study Characteristics ◽  
Newcastle Ottawa Scale

Background: In this study, we aimed to determine the global prevalence, chronological order of symptom appearance, and mortality rates with regard to hemorrhagic and ischemic stroke in patients with coronavirus disease 2019 (COVID-19) and to discuss possible pathogeneses of hemorrhagic and ischemic stroke in individuals with the disease. Methods: We searched the PubMed, Scopus, and Web of Science databases for relevant articles published up to November 8, 2020. Data regarding study characteristics, hemorrhagic stroke, ischemic stroke, and COVID-19 were retrieved in accordance with the PRISMA guidelines. The Newcastle-Ottawa scale was used to assess the quality of the eligible studies. The pooled prevalence and mortality rate of hemorrhagic and ischemic stroke were calculated. Results: The pooled estimate of prevalence of hemorrhagic stroke was 0.46% (95% CI 0.40%–0.53%; I2=89.81%) among 67,155 COVID-19 patients and that of ischemic stroke was 1.11% (95% CI 1.03%–1.22%; I2=94.07%) among 58,104 COVID-19 patients. Ischemic stroke was more predominant (incidence: 71.58%) than hemorrhagic stroke (incidence: 28.42%) in COVID-19 patients who experienced a stroke. In COVID-19 patients who experienced a stroke, hospital admission with respiratory symptoms was more commonly reported than that with neurological symptoms (20.83% for hemorrhagic stroke and 5.51% for ischemic stroke versus 6.94% for hemorrhagic stroke and 5.33% for ischemic stroke, respectively). The pooled mortality rate of COVID-19 patients who experienced a hemorrhagic and ischemic stroke was 44.72% (95% CI 36.73%–52.98%) and 36.23% (95% CI 30.63%–42.24%), respectively. Conclusions: Although the occurrence of hemorrhagic and ischemic stroke is low, the mortality rates of both stroke types in patients with COVID-19 are concerning, and therefore, despite several potential pathogeneses that have been proposed, studies aimed at definitively elucidating the mechanisms of hemorrhagic and ischemic stroke in individuals with COVID-19 are warranted. PROSPERO registration: CRD42020224470 (04/12/20)

Platelet glycoprotein gene Ia C807T, HPA-3, and Ibα VNTR polymorphisms are associated with increased ischemic stroke risk: Evidence from a comprehensive meta-analysis

2016 ◽  
Vol 12 (1) ◽  
pp. 46-70 ◽  
Author(s):  
Hua Liu ◽  
Yi Wang ◽  
Jian Zheng ◽  
Guangming Li ◽  
Tao Chen ◽  
...  
Keyword(s):  
Ischemic Stroke ◽  
Stroke Risk ◽  
Meta Analysis ◽  
Variable Number Tandem Repeat ◽  
Variable Number ◽  
Increased Risk ◽  
Scale Scores ◽  
Newcastle Ottawa Scale ◽  
Ischemic Stroke Risk ◽  
Ottawa Scale

Background/aims Platelet glycoproteins play a crucial role in the initial stage of thrombus formation and may contribute to the pathophysiology of atherosclerosis. Polymorphisms in glycoprotein genes alter the function of the protein, possibly leading to increased risk of ischemic stroke. However, previous genetic association studies that examined the relationship between glycoprotein genes polymorphisms and ischemic stroke have yielded inconsistent results. This study aimed to evaluate the association between glycoprotein genes and ischemic stroke by the application of meta-analysis. Methods Relevant studies were identified by an extensive search through databases. The quality of included studies was assessed independently using the Newcastle–Ottawa Scale. Allele and genotype frequencies for each included study were extracted. The odds ratio (OR) with 95% confidence interval (95%CI) was calculated using a random-effects or fixed-effects model. Q statistic was used to evaluate homogeneity, and a meta-regression model was used to explore the study-level variables and to describe the heterogeneity in included studies. Egger’s test and funnel plot were used to assess publication bias. Results A total of 60 studies (9 polymorphisms) were included and identified in the current meta-analysis. The Newcastle–Ottawa Scale scores ranged from 7 to 9 except for two studies with Newcastle–Ottawa Scale scores of 6. The T allele or TT genotype of the glycoprotein Ia C807T polymorphism were associated with an increased susceptibility to ischemic stroke in combined population (807T allele: OR, 95%CI: 1.24, 1.03–1.50, p = 0.02) or Asian populations (807T allele: OR, 95%CI: 1.31, 1.10–1.54, p = 0.002 and 807TT genotype: OR, 95%CI: 1.53, 1.13–2.08, p = 0.006, respectively), and the Ser allele of HPA-3 was associated with increased risk of ischemic stroke in combined population or in Asians (OR, 95%CI: 1.21, 1.04–1.40, p = 0.01 or 1.54, 1.18–2.01, p = 0.001). Of note, the Ser/Ser genotype was more common in Asians (OR, 95%CI: 2.09, 1.40–3.13, p < 0.001). For glycoprotein Ibα variable number tandem repeat, only B allele showed a mild significant association with ischemic stroke risk in combined population or in Caucasians (OR, 95%CI: 2.17, 1.04–4.55, p = 0.04 or 1.79, 1.02–3.13, p = 0.04). There was no significant association between HPA-1, HPA-2, HPA-4, HPA-5, glycoprotein Ibα-5 T/C as well as Ia G873A polymorphisms and increased risk of ischemic stroke. Conclusions We found that glycoprotein Ia C807T T allele or the TT genotype, the Ser-allele of HPA-3 and B allele of glycoprotein Ibα variable number tandem repeat polymorphisms were associated with increased risk for ischemic stroke. Future studies with larger sample sizes will be necessary to confirm the results. In addition, analyses of ischemic stroke subtypes and gene–gene and gene–environment interactions are warranted.

Vitamin D Receptor Gene Polymorphisms and the Risk of Metabolic Syndrome (MetS): A Meta-Analysis

2020 ◽  
Vol 20 ◽  
Author(s):  
Hamidreza Totonchi ◽  
Ramazan Rezaei ◽  
Shokoofe Noori ◽  
Negar Azarpira ◽  
Pooneh Mokarram ◽  
...  
Keyword(s):  
Metabolic Syndrome ◽  
Vitamin D ◽  
Vitamin D Receptor ◽  
Protective Factor ◽  
Meta Analysis ◽  
Receptor Gene ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Vdr Gene ◽  
Effect Model

Introduction: Several studies have assessed the association between the vitamin D receptor (VDR) polymorphism and risk of metabolic syndrome (MetS). However, the results were inconsistent and inconclusive. Therefore, we conducted a meta-analysis to clarify the exact association between the vitamin D receptor (VDR) polymorphisms and the risk of MetS. Methods: All accessible studies reporting the association between the FokI (rs2228570) or / and TaqI (rs731236) or/and BsmI (rs1544410) or/and ApaI (rs7975232 polymorphisms of the Vitamin D Receptor and susceptibility to MetS published prior to February 2019 were systematically searched in Web of Science, Scopus, and PubMed. After that, Odds ratios (ORs) and their corresponding 95% confidence intervals (CIs) were estimated to evaluate the strength of the association in five genetic models. Results: A total of 9 articles based on four gene variations, and comprising 3348 participants with 1779 metabolic syndrome patients were included. The overall results suggested a significant association between BsmI (rs1544410) polymorphism and MetS susceptibility in recessive model (OR, 0.72, 95% CI, 0.55-0.95, fixed effect model), allelic model (OR, 0.83, 95% CI, 0.72-0.95, fixed effect model), and bb vs BB (OR, 0.65, 95% CI, 0.46-0.93, fixed effect). However, no significant association was identified between TaqI (rs731236) polymorphism, ApaI (rs7975232) polymorphism, and FokI (rs2228570) polymorphism and MetS. Conclusion: This meta-analysis suggested an association between the BsmI (rs1544410) polymorphism and MetS. Indeed, BsmI (rs1544410) acts as a protective factor in the MetS. As a result, the VDR gene could be regarded as a promising pharmacological and physiological target in prevention or treatment of the MetS.

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.

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