scholarly journals Meta-analysis: Fixed-effect model

2020 ◽  
Vol 157 (1) ◽  
pp. 134-137
Author(s):  
Loukia M. Spineli ◽  
Nikolaos Pandis
Keyword(s):  
Meta Analysis ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model

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.

scholarly journals Effects of hydrokinesitherapy on balance and walking ability in stroke survivors: a systematic review and meta-analysis of randomized controlled studies

2019 ◽  
Vol 16 (1) ◽  
Author(s):  
Guanli Xie ◽  
Tao Wang ◽  
Bo Jiang ◽  
Yan Su ◽  
Xiaoxia Tang ◽  
...  
Keyword(s):  
Meta Analysis ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Sufficient Evidence ◽  
Cochrane Library ◽  
Stroke Survivors ◽  
Walking Ability ◽  
Balance Function ◽  
Effect Model ◽  
Positive Effect

Abstract Background Balance and walking impairment are common dysfunctions after stroke. Emerging data has demonstrated that hydrokinesitherapy may have a positive influence on improvement of balance and walking ability. However, there is no firm evidence to support these results. Therefore, the aim of this review is to evaluate the effects of hydrokinesitherapy in stroke survivors systematically. Methods Medline, EMBASE, Cochrane Central Register of Controlled Trials (CENTRAL) in the Cochrane Library, CINAHL and SPORTDiscus were systemic searched from their inception to Septemter 30, 2018. RevMan 5.3 software was used to perform data synthesis. The fixed-effect model or random-effect model was employed according to the results of heterogeneity test. The mean differences (MD) or standardized mean difference (SMD) was used to evaluate the pooled effect of hydrokinesitherapy on balance function, walking ability and activty of daily life (ADL). Results A total of 13 studies were included involving 381 stroke survivors. Meta-analysis results indicated that hydrokinesitherapy could improve balance ability based on three test: Berg balance scale (BBS: MD = 3.84, 95% confidence interval (95% CI) 2.84 to 4.86, P < 0.001), Time Up To Go Test (TUGT: MD = − 1.22, 95% CI − 2.25 to − 0.18, P = 0.02, fixed-effect model), Functional Reach Test (FRT: MD = 2.41, 95% CI 1.49 to 3.33, P < 0.001). Additionally, we found a weakly positive effect on walking speed (SMD = 0.75, 95% CI 0.26 to 1.25, P = 0.003) and walking ability test (SMD = 0.36, 95% CI 0.04 to 0.68, P = 0.03). There was no significant difference between experimental group and control group in terms of ADL. Short conclusion Hydrokinesitherapy can improve balance function and had a weakly positive effect on walking ability in stroke survivors. We did not find sufficient evidence to indicate that hydrokinesitherapy could improve the ADL of stroke survivors. However, due to the methodological shortcoming and small number of included studies, caution is needed when interpreting these results. Due to imprecision and publication bias, the quality of the evidence was downgraded to “low-quality” for the primary outcomes of balance and walking ability. Trial registration CRD42018110787.

Expression of microRNA-210 and the prognosis in glioma patients: a meta-analysis

2020 ◽  
Vol 14 (9) ◽  
pp. 795-805
Author(s):  
Xuezhi Hu ◽  
Pengfei Yan ◽  
Jun Feng ◽  
Fangcheng Zhang
Keyword(s):  
Overall Survival ◽  
Predictive Power ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Hazard Ratio ◽  
Fixed Effect ◽  
Poor Survival ◽  
Effect Model ◽  
Subgroup Analyses ◽  
Meta Analyses

Aim: To evaluate the predictive power of tumor microRNA-210 (miR-210) on overall survival (OS) in glioma patients. Materials & methods: Studies were identified through searching PubMed, Embase and China National Knowledge Internet electronic databases. Meta-analyses were performed with a random- or fixed-effect model according to the heterogeneity. Results: Six studies were included. Results showed that increased miR-210 expression in tumor independently predicted poor OS in glioma patients (hazard ratio [HR]: 1.38; p = 0.001). Subgroup analyses showed that the prognostic efficacy of tumor miR-210 levels for OS was stronger in overall patients with glioma (HR: 2.22; p < 0.001) than in those with glioblastoma (HR: 1.13; p = 0.01). Conclusion: Expression of miR-210 may predict poor survival in patients with glioma.

scholarly journals Churras y merinas. Metanálisis (I).

2018 ◽  
Vol 10 (10) ◽  
pp. 5
Author(s):  
Manuel Molina
Keyword(s):  
Statistical Methods ◽  
Random Effects ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Random Effects Model ◽  
Effect Model ◽  
Global Result

El metanálisis es una técnica que permite obtener un resultado resumen a partir de varios estudios individuales. Esto solo puede hacer tras comprobar que los estudios se parecen lo suficiente como para poder combinarse, lo cual se hará con métodos estadísticos específicos, siendo los más usados el modelo de efecto fijo y el modelo de efectos aleatorios. ABSTRACT Meta-analysis is a technique that allows obtaining a global result from several individual studies. This can only be done after checking that the studies are similar enough to be combined, which will be done with specific statistical methods, the most used being the fixed effect model and the random effects model.

Effect of fennel on primary dysmenorrhea: a systematic review and meta-analysis

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Hadis Shahrahmani ◽  
Masumeh Ghazanfarpour ◽  
Nasim Shahrahmani ◽  
Fatemeh Abdi ◽  
Robert D. E. Sewell ◽  
...  
Keyword(s):  
Systematic Review ◽  
Mefenamic Acid ◽  
Web Of Science ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Cochrane Library ◽  
Cochrane Central Register ◽  
Primary Dysmenorrhea ◽  
Effect Model

Abstract Background One of the most common complaints for women is dysmenorrhea. Several studies investigated the treatment effects of medicinal plants on primary dysmenorrhea. Objectives This systematic review and meta-analysis investigates the effect of Foeniculum vulgare (Fennel) on pain in primary dysmenorrhea in comparison to non-steroidal anti-inflammatory drugs such as mefenamic acid. Methods PubMed, EMBASE, EBSCO Web of Science, Scopus, Cochrane library, Cochrane Central Register of Controlled Trials (CENTRAL), Science Direct, ProQuest, ISI Web of Science, Google Scholar, Magiran, SID, Iran Medex, and Irandoc were searched up to January 2019. Quality assessment of clinical trials was conducted using Jadad scoring system. Totally, 12 studies were entered in the meta-analysis. I 2 was calculated to determine heterogeneity. Fixed effects and/or random effects models were applied. Results Meta-analysis of these trials showed that F. vulgare intake decreased significantly the intensity of dysmenorrhea compared to the placebo (SMD −0.632; CI: −0.827 to −0.436; p<0.001; heterogeneity p=0.807; I 2=0%; fixed effect model; seven articles). However, the effect of Mefenamic acid with F. vulgare was not different from each other (SMD=−0.214; CI: −0.446 to 0.017; p=0.07; heterogeneity p=0.58; I 2=0%; fixed effect model; six trials). Conclusion The F. vulgare alleviates dysmenorrhea. Regarding the same effect of F. vulgare with NSAIDs, it is highly recommend to the women suffered from dysmenorrhea specifically the ones who have high tendency toward herbal medicine.

scholarly journals Meta-analysis of SNP-environment interaction with heterogeneity for overlapping data

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Qinqin Jin ◽  
Gang Shi
Keyword(s):  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Type I ◽  
Environment Interaction ◽  
Genome Wide Association Studies ◽  
Overlapping Data ◽  
Effect Model

AbstractMeta-analysis is a popular method used in genome-wide association studies, by which the results of multiple studies are combined to identify associations. This process generates heterogeneity. Recently, we proposed a random effect model meta-regression method (MR) to study the effect of single nucleotide polymorphism (SNP)-environment interactions. This method takes heterogeneity into account and produces high power. We also proposed a fixed effect model overlapping MR in which the overlapping data is taken into account. In the present study, a random effect model overlapping MR that simultaneously considers heterogeneity and overlapping data is proposed. This method is based on the random effect model MR and the fixed effect model overlapping MR. A new way of solving the logarithm of the determinant of covariance matrices in likelihood functions is also provided. Tests for the likelihood ratio statistic of the SNP-environment interaction effect and the SNP and SNP-environment joint effects are given. In our simulations, null distributions and type I error rates were proposed to verify the suitability of our method, and powers were applied to evaluate the superiority of our method. Our findings indicate that this method is effective in cases of overlapping data with a high heterogeneity.

scholarly journals Relation Between Cigarette Smoking and Sarcopenia: Meta-Analysis

2015 ◽  
pp. 419-426 ◽  
Author(s):  
M. STEFFL ◽  
R. W. BOHANNON ◽  
M. PETR ◽  
E. KOHLIKOVA ◽  
I. HOLMEROVA
Keyword(s):  
Risk Factor ◽  
Cigarette Smoking ◽  
Meta Analysis ◽  
Random Effect ◽  
Random Effect Model ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Effect Model ◽  
The Individual ◽  
The Relationship

Cigarette smoking is a risk factor for many diseases. It could be associated with sarcopenia. The aim of this meta-analysis was to determine whether smoking is an isolated risk factor for sarcopenia. We searched PubMed, Web of Science, EBSCO, and Science Direct for articles addressing the relationship between cigarette smoking and sarcopenia. A total of 12 studies containing information on 22,515 participants were included in this meta-analysis. Odds ratio (OR) was calculated for each study group and for all studies together. An OR was also calculated separately for each sex. We used a fixed-effect model in overall estimation and in males, because results of small studies were significantly different from the results of large studies in those cases and in females where the estimation showed only moderate heterogeneity we used a random-effect model. According to proposes of the Cochrane Handbook for Systematic Reviews. The resulting OR in the fixed-effect model was 1.12 (95 % CI 1.03-1.21), OR for each sex was in the fixed-effect model 1.20 (95 % CI 1.06-1.35) in males and in the random-effect model 1.21 (95 % CI 0.92-1.59) in females. The results of this meta-analysis indicate that cigarette smoking as an isolated factor may contribute to the development of sarcopenia. However, the results of the individual studies were largely inconsistent due to different approaches of measuring the main variables which affected the results.

scholarly journals Analgesic Effect of Pre-Emptive Gabapentin on Knee Surgery: A Systematic Review and Meta-Analysis

2017 ◽  
Vol 102 (11-12) ◽  
pp. 552-559
Author(s):  
Eun Jin Ahn ◽  
Jeong Wook Lee ◽  
Hey Ran Choi ◽  
Kyoung Woo Kim ◽  
Si Ra Bang ◽  
...  
Keyword(s):  
Postoperative Pain ◽  
Pain Score ◽  
Regional Anesthesia ◽  
Meta Analysis ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Pain Scores ◽  
Postoperative Pain Score ◽  
Effect Model ◽  
Subgroup Analyses

We aimed to evaluate the effectiveness of preemptive oral gabapentin on postoperative analgesia after knee surgery. Gabapentin is widely known to reduce postoperative pain scores and opioid requirements following a variety of surgeries. We searched MEDLINE (January 1, 1976 to April 30, 2014), EMBASE (January 1, 1985 to April 30, 2014), the Cochrane Library (January 1, 1987 to April 30, 2014), and KoreaMed (June 1, 1958 to April 30, 2014). A total of 225 patients in 4 studies were included in the study. The overall pooled results from meta-analysis demonstrated that compared with placebo, pre-emptive analgesia could significantly reduce the postoperative pain score [mean difference (MD) −6.29; 95% confidence interval (CI) −10.17 to −2.42; P = 0.001; random-effect model]. The subgroup analyses found that gabapentin significantly reduced the postoperative pain score in patients who underwent general anesthesia (MD, −17.82; 95% CI, −21.82 to −13.81; P = 0.47; fixed-effect model). The subgroup analyses could not clarify the effectiveness of gabapentin on reducing postoperative pain in patients who underwent regional anesthesia (MD, 2.43; 95% CI, −1.14 to 6.00; P = 0.78; fixed-effect model). Pre-emptive gabapentin reduced early postoperative pain scores. However, it was unclear whether gabapentin reduces postoperative pain score in the setting of regional anesthesia or multimodal analgesic regimen.

scholarly journals Co-infection of SARS-CoV-2 with influenza among COVID-19 cases: A-meta analysis

2021 ◽  
Author(s):  
Reza Alizadeh-Navaei ◽  
Monireh Golpur ◽  
Reza Valadan ◽  
Masoumeh Rezaei ◽  
Moammadreza Haghshenas ◽  
...  
Keyword(s):  
Influenza Virus ◽  
Influenza A ◽  
Meta Analysis ◽  
Public Health Problem ◽  
Fixed Effect Model ◽  
Fixed Effect ◽  
Influenza B ◽  
Effect Model ◽  
Pooled Prevalence ◽  
Chi Squared

Abstract Background The severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), that causes coronavirus disease 2019 (COVID-19) is a public health problem and may have co-infection with other pathogens such as influenza virus.Objective This study aims to assess the co-infection of SARS-CoV-2 with influenza among COVID-19 cases.Material and methods The all relevant studies were collected from international databases. For improving the quality of the present literature, the all studies were evaluated by two reviewers in order to confirm all of the studies have inclusion criteria. Finally, all articles with sufficient quality scores were included in meta-analysis. Assessment of heterogeneity among the studies of primary studies was performed using the statistic chi‐squared test (Cochran's Q) and I2 index. In this results, random or fixed effect model were used for determination of heterogeneity test. All statistical analyses were performed using Comprehensive Meta-Analysis (CMA), V.2 software.Results This meta- analysis included 9 primary studies investigating the co-infection of SARS-CoV-2 with influenza among COVID-19 cases. Pooled prevalence (95% confidence interval) of co-infection is shown that the prevalence of influenza A is higher than influenza B. 2.3(0.5-9.3) vs 0.1 (0.4-3.3). Using the fixed effect model the frequency of fever was (80.6% [95% CI 76.1–84.40, p < 0.153]) and it is shown that fever is the most prevalent symptom in patients.Conclusion Patients admitted to hospital with COVID-19 also infected with influenza virus. Thus, the current research provides a better understanding about the control and treatment of co-infection with SARS-CoV-2 and the influenza virus.

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