scholarly journals Zinc, Copper, and Iron in Oral Submucous Fibrosis: A Meta-Analysis

2018 ◽  
Vol 2018 ◽  
pp. 1-14 ◽  
Author(s):  
Prageet K. Sachdev ◽  
Jeanne Freeland-Graves ◽  
S. Natasha Beretvas ◽  
Namrata Sanjeevi
Keyword(s):  
Effect Size ◽  
Variance Estimation ◽  
Meta Analysis ◽  
Oral Submucous Fibrosis ◽  
Estimation Method ◽  
Cochrane Library ◽  
Diagnosis And Prognosis ◽  
Potentially Malignant ◽  
Submucous Fibrosis ◽  
Robust Variance Estimation

Oral submucous fibrosis (OSF) is a potentially malignant disorder which causes fibrosis and inflammation of the oral mucosa. Studies have reported altered levels of trace elements in oral submucous fibrosis subjects, but findings have been inconsistent. The objective of this research is to perform a meta-analysis to summarize studies that report zinc (Zn), copper (Cu), and iron (Fe) in patients, with and without OSF. A literature search of Embase, PubMed, Cochrane Library, and Web of Science electronic databases was conducted for studies up to January 2017. A total of 34 reports met the inclusion criteria. The standardized mean difference was utilized as the effect size. The robust variance estimation method was chosen to handle dependency of multiple related outcomes in meta-analysis. There was a significant increase in the levels of Cu (effect size = 1.17, p value < 0.05, 95% confidence interval (CI): 0.164–2.171) and a significant decrease in levels of Zn (effect size = −1.95, p value < 0.05, 95% CI: −3.524 to −0.367) and Fe (effect size = −2.77, p value < 0.01, 95% CI: −4.126 to −1.406) in OSF patients. The estimation of Zn, Cu, and Fe levels may serve as additional biomarkers in the diagnosis and prognosis of OSF along with the clinical features.

scholarly journals An assessment of statistical methods for non-independent data in ecological meta-analyses: Comment

2021 ◽  
Author(s):  
Shinichi Nakagawa ◽  
Alistair M Senior ◽  
Wolfgang Viechtbauer ◽  
Daniel W.A. Noble
Keyword(s):  
Random Effects ◽  
Effect Size ◽  
Variance Estimation ◽  
Meta Analysis ◽  
Estimation Method ◽  
Random Effects Model ◽  
Step Method ◽  
Robust Variance ◽  
Robust Variance Estimation ◽  
Meta Analyses

Recently, Song et al. (2020) conducted a simulation study using different methods to deal with non-independence resulting from effect sizes originating from the same paper – a common occurrence in ecological meta-analyses. The main methods that were of interest in their simulations were: 1) a standard random-effects model used in combination with a weighted average effect size for each paper (i.e., a two-step method), 2) a standard random-effects model after randomly choosing one effect size per paper, 3) a multilevel (hierarchical) meta-analysis model, modelling paper identity as a random factor, and 4) a meta-analysis making use of a robust variance estimation method. Based on their simulation results, they recommend that meta-analysts should either use the two-step method, which involves taking a weighted paper mean followed by analysis with a random-effects model, or the robust variance estimation method.

scholarly journals Multi-level meta-analysis of single-case experimental designs using robust variance estimation

2021 ◽  
Author(s):  
Man Chen ◽  
James E Pustejovsky
Keyword(s):  
Effect Size ◽  
Variance Estimation ◽  
Single Case ◽  
Meta Analysis ◽  
Data Series ◽  
Robust Variance ◽  
Auto Correlation ◽  
Robust Variance Estimation ◽  
Multi Level ◽  
Size Estimates

Single-case experimental designs (SCEDs) are used to study the effects of interventions on the behavior of individual cases, by making comparisons between repeated measurements of an outcome under different conditions. In research areas where SCEDs are prevalent, there is a need for methods to synthesize results across multiple studies. One approach to synthesis uses a multi-level meta-analysis (MLMA) model to describe the distribution of effect sizes across studies and across cases within studies. However, MLMA relies on having accurate sampling variances of effect size estimates for each case, which may not be possible due to auto-correlation in the raw data series. One possible solution is to combine MLMA with robust variance estimation (RVE), which provides valid assessments of uncertainty even if the sampling variances of effect size estimates are inaccurate. Another possible solution is to forgo MLMA and use simpler, ordinary least squares (OLS) methods, with RVE. This study evaluates the performance of effect size estimators and methods of synthesizing SCEDs in the presence of auto-correlation, for several different effect size metrics, via a Monte Carlo simulation designed to emulate the features of real data series. Results demonstrate that the MLMA model with RVE performs properly in terms of bias, accuracy, and confidence interval coverage for estimating overall average log response ratios. The OLS estimator corrected with RVE performs the best in estimating overall average Tau effect sizes. None of the available methods perform adequately for meta-analysis of within-case standardized mean differences.

scholarly journals Repetitive transcranial magnetic stimulation treatment for peripartum depression: systematic review & meta-analysis

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Hyune June Lee ◽  
Sung Min Kim ◽  
Ji Yean Kwon
Keyword(s):  
Systematic Review ◽  
Transcranial Magnetic Stimulation ◽  
Side Effects ◽  
Electroconvulsive Therapy ◽  
Effect Size ◽  
Magnetic Stimulation ◽  
Repetitive Transcranial Magnetic Stimulation ◽  
Meta Analysis ◽  
Cochrane Library ◽  
Peripartum Depression

Abstract Background Peripartum depression is a common disorder with very high potential hazards for both the patients and their babies. The typical treatment options include antidepressants and electroconvulsive therapy. However, these treatments do not ensure the safety of the fetus. Recently, repetitive transcranial magnetic stimulation has emerged as a promising treatment for neuropathies as well as depression. Nevertheless, many studies excluded pregnant women. This systematic review was conducted to confirm whether repetitive transcranial magnetic stimulation was a suitable treatment option for peripartum depression. Methods We performed a systematic review that followed the PRISMA guidelines. We searched for studies in the MEDLINE, PsycINFO, EMBASE, and Cochrane library databases published until the end of September 2020. Eleven studies were selected for the systematic review, and five studies were selected for quantitative synthesis. Data analysis was conducted using Comprehensive Meta-Analysis 3 software. The effect size was analyzed using the standardized mean difference, and the 95% confidence interval (CI) was determined by the generic inverse variance estimation method. Results The therapeutic effect size of repetitive transcranial magnetic stimulation for peripartum depression was 1.394 (95% CI: 0.944–1.843), and the sensitivity analysis effect size was 1.074 (95% CI: 0.689–1.459), indicating a significant effect. The side effect size of repetitive transcranial magnetic stimulation for peripartum depression was 0.346 (95% CI: 0.214–0.506), a meaningful result. There were no severe side effects to the mothers or fetuses. Conclusions From various perspectives, repetitive transcranial magnetic stimulation can be considered an alternative treatment to treat peripartum depression to avoid exposure of fetuses to drugs and the severe side effects of electroconvulsive therapy. Further research is required to increase confidence in the results.

scholarly journals Targeting lncRNA H19/miR-29b/COL1A1 Axis Impedes Myofibroblast Activities of Precancerous Oral Submucous Fibrosis

2021 ◽  
Vol 22 (4) ◽  
pp. 2216
Author(s):  
Cheng-Chia Yu ◽  
Yi-Wen Liao ◽  
Pei-Ling Hsieh ◽  
Yu-Chao Chang
Keyword(s):  
Type I Collagen ◽  
Transforming Growth Factor ◽  
Smooth Muscle Actin ◽  
Oral Submucous Fibrosis ◽  
Ectopic Expression ◽  
Collagen Gel ◽  
Type I ◽  
Migration Ability ◽  
Potentially Malignant ◽  
Submucous Fibrosis

Oral submucous fibrosis (OSF) is known as a potentially malignant disorder, which may result from chemical irritation due to areca nuts (such as arecoline). Emerging evidence suggests that fibrogenesis and carcinogenesis are regulated by the interaction of long noncoding RNAs (lncRNAs) and microRNAs. Among these regulators, profibrotic lncRNA H19 has been found to be overexpressed in several fibrosis diseases. Here, we examined the expression of H19 in OSF specimens and its functional role in fibrotic buccal mucosal fibroblasts (fBMFs). Our results indicate that the aberrantly overexpressed H19 contributed to higher myofibroblast activities, such as collagen gel contractility and migration ability. We also demonstrated that H19 interacted with miR-29b, which suppressed the direct binding of miR-29b to the 3′-untranslated region of type I collagen (COL1A1). We showed that ectopic expression of miR-29b ameliorated various myofibroblast phenotypes and the expression of α-smooth muscle actin (α-SMA), COL1A1, and fibronectin (FN1) in fBMFs. In OSF tissues, we found that the expression of miR-29b was downregulated and there was a negative correlation between miR-29b and these fibrosis markers. Lastly, we demonstrate that arecoline stimulated the upregulation of H19 through the transforming growth factor (TGF)-β pathway. Altogether, this study suggests that increased TGF-β secretion following areca nut chewing may induce the upregulation of H19, which serves as a natural sponge for miR-29b and impedes its antifibrotic effects.

scholarly journals Potential Therapeutic Effects of Curcumin on Glycemic and Lipid Profile in Uncomplicated Type 2 Diabetes—A Meta-Analysis of Randomized Controlled Trial

Nutrients ◽  
2021 ◽  
Vol 13 (2) ◽  
pp. 404
Author(s):  
Emma Altobelli ◽  
Paolo Matteo Angeletti ◽  
Ciro Marziliano ◽  
Marianna Mastrodomenico ◽  
Anna Rita Giuliani ◽  
...  
Keyword(s):  
Type 2 Diabetes ◽  
Lipid Profile ◽  
Effect Size ◽  
Meta Analysis ◽  
Statistical Significance ◽  
Glycosylated Hemoglobin ◽  
Cochrane Library ◽  
Therapeutic Effects ◽  
Model Assessment

Diabetes mellitus is an important issue for public health, and it is growing in the world. In recent years, there has been a growing research interest on efficacy evidence of the curcumin use in the regulation of glycemia and lipidaemia. The molecular structure of curcumins allows to intercept reactive oxygen species (ROI) that are particularly harmful in chronic inflammation and tumorigenesis models. The aim of our study performed a systematic review and meta-analysis to evaluate the effect of curcumin on glycemic and lipid profile in subjects with uncomplicated type 2 diabetes. The papers included in the meta-analysis were sought in the MEDLINE, EMBASE, Scopus, Clinicaltrials.gov, Web of Science, and Cochrane Library databases as of October 2020. The sizes were pooled across studies in order to obtain an overall effect size. A random effects model was used to account for different sources of variation among studies. Cohen’s d, with 95% confidence interval (CI) was used as a measure of the effect size. Heterogeneity was assessed while using Q statistics. The ANOVA-Q test was used to value the differences among groups. Publication bias was analyzed and represented by a funnel plot. Curcumin treatment does not show a statistically significant reduction between treated and untreated patients. On the other hand, glycosylated hemoglobin, homeostasis model assessment (HOMA), and low-density lipoprotein (LDL) showed a statistically significant reduction in subjects that were treated with curcumin, respectively (p = 0.008, p < 0.001, p = 0.021). When considering HBA1c, the meta-regressions only showed statistical significance for gender (p = 0.034). Our meta-analysis seems to confirm the benefits on glucose metabolism, with results that appear to be more solid than those of lipid metabolism. However, further studies are needed in order to test the efficacy and safety of curcumin in uncomplicated type 2 diabetes.

Listening Ears or Reading Eyes: A Meta-Analysis of Reading and Listening Comprehension Comparisons

2021 ◽  
pp. 003465432110608
Author(s):  
Virginia Clinton-Lisell
Keyword(s):  
Listening Comprehension ◽  
Variance Estimation ◽  
Meta Analysis ◽  
Age Groups ◽  
Robust Variance ◽  
Reading Condition ◽  
P 16 ◽  
Robust Variance Estimation ◽  
Literal Comprehension

In this study, a meta-analysis of reading and listening comprehension comparisons across age groups was conducted. Based on robust variance estimation (46 studies; N = 4,687), the overall difference between reading and listening comprehension was not reliably different (g = 0.07, p = .23). Reading was beneficial over listening when the reading condition was self-paced (g = 0.13, p = .049) rather than experimenter-paced (g = −0.32, p = .16). Reading also had a benefit when inferential and general comprehension rather than literal comprehension was assessed (g = 0.36, p = .02; g = .15, p = .05; g = −0.01, p = .93, respectively). There was some indication that reading and listening were more similar in languages with transparent orthographies than opaque orthographies (g = 0.001, p = .99; g = 0.10, p = .19, respectively). The findings may be used to inform theories of comprehension about modality influences in that both lower-level skill and affordances vary comparisons of reading and listening comprehension. Moreover, the findings may guide choices of modality; however, both audio and written options are needed for accessible instruction.

scholarly journals Influence of Mindfulness and Relaxation on Treatment of Essential Hypertension: Meta-Analysis

2021 ◽  
Vol 2021 ◽  
pp. 1-7
Author(s):  
Fushun Zhang ◽  
Yuanyuan Zhang ◽  
Nan Jiang ◽  
Qiao Zhai ◽  
Juanjuan Hu ◽  
...  
Keyword(s):  
Blood Pressure ◽  
Essential Hypertension ◽  
Systolic Blood Pressure ◽  
Publication Bias ◽  
Effect Size ◽  
Meta Analysis ◽  
Biomedical Literature ◽  
Cochrane Library ◽  
Control Group ◽  
Effect Model

Background. Some studies published previously have shown a strong correlation between hypertension and psychological nature including impulsion emotion or mindfulness and relaxation temperament, among which mindfulness and relaxation temperament might have a benign influence on blood pressure, ameliorating the hypertension. However, the conclusion was not confirmed. Objective. The meta-analysis was performed to investigate the influence of mindfulness and relaxation on essential hypertension interventions and confirm the effects. Methods. Systematic searches were conducted in common English and Chinese electronic databases (i.e., PubMed/MEDLINE, EMBASE, Web of Science, CINAHL, PsycINFO, Cochrane Library, and Chinese Biomedical Literature Database) from 1980 to 2020. A meta-analysis including 5 studies was performed using Rev Man 5.4.1 software to estimate the influence of mindfulness and relaxation on blood pressure, ameliorating the hypertension. Publication bias and heterogeneity of samples were tested using a funnel plot. Studies were analyzed using either a random-effect model or a fixed-effect model. Results. All the 5 studies investigated the influence of mindfulness and relaxation on diastolic and systolic blood pressure, with total 205 participants in the control group and 204 in the intervention group. The random-effects model (REM) was used to calculate the pooled effect for mindfulness and relaxation on diastolic blood pressure (I2 = 0%, t2 = 0.000, P = 0.41 ). The random pooled effect size (MD) was 0.30 (95% CI = −0.81–1.42, P = 0.59 ). REM was used to calculate the pooled effect for mindfulness and relaxation on systolic blood pressure (I2 = 49%, t2 = 3.05, P = 0.10 ). The random pooled effect size (MD) was −1.05 (95% CI = −3.29–1.18, P = 0.36 ). The results of this meta-analysis were influenced by publication bias to some degree. Conclusion. All the results showed less influence of mindfulness and relaxation might act on diastolic or systolic blood pressure, when mindfulness and relaxation are used to intervene in treating CVD and hypertension.

scholarly journals Evaluation of Fibrotic Changes in OSMF:A Retrospective Study Using Special Stains and Polarizing Microscopy

2017 ◽  
Vol 6 (2) ◽  
pp. 1518
Author(s):  
Parvez Ikram ◽  
Nadeem Jeddy
Keyword(s):  
Connective Tissue ◽  
Large Scale ◽  
Oral Submucous Fibrosis ◽  
Muscle Layer ◽  
Inclusion Criteria ◽  
Polarizing Microscopy ◽  
Potentially Malignant ◽  
Tissue Changes ◽  
Submucous Fibrosis ◽  
Picrosirius Red

<p><strong>Background:</strong> Oral submucous fibrosis (OSMF), a potentially malignant oral disorder has the highest rate of malignant transformation of about 7-13%. The connective tissue changes that occur in this disease are characteristic and are stained with special stains.</p><p><strong>Objective:</strong> The study was done to compare common and special stains under light microscopy and polarizing microscopy to evaluate the levels of fibrosis in oral submucous fibrosis and assess the type of collagen present in the stromal area.</p><p><strong>Materials and Methods:</strong> Fifty tissue blocks were selected from the archives and were prepared and stained with H&amp;E, Masson's trichrome, Van Gieson and Picrosirius red and studied under light microscope and polarizing microscope respectively.</p><p><strong>Results:</strong> H and E stained slides were useful in diagnosing the lesion but was not able to highlight the level of fibrosis. Masson's trichrome and Van Gieson stained slides showed the depth of the lesion which extended even to the deeper muscle layer. The type of collagen present was definitively seen by the birefringence in polarizing microscopic study. Interobserver variation was less and all the values regarding the effectiveness of the special stains in detecting the level of fibrosis were statistically significant.</p><p><strong>Conclusion:</strong> Special stains can be used routinely in laboratories to demonstrate connective tissue lesions especially in cases of OSMF. Depth of the lesion and the area of involvement help in treatment planning to be delivered. Large scale studies with more categories and inclusion criteria are required along with the special stains to assess the other alterations in OSMF.</p>

Meta-analysis: Effectiveness of Comprehensive Geriatric Care for Elderly Following Hip Fracture Surgery

2019 ◽  
Vol 42 (4) ◽  
pp. 293-305 ◽  
Author(s):  
Shu-Ni Lin ◽  
Shu-Fen Su ◽  
Wen-Ting Yeh
Keyword(s):  
Hospital Stay ◽  
Hip Fractures ◽  
Effect Size ◽  
Daily Living ◽  
Meta Analysis ◽  
Geriatric Care ◽  
Cochrane Library ◽  
Institutional Setting ◽  
Mortality Effect ◽  
Comprehensive Geriatric Care

Hip fractures may increase mortality and decrease mobility in elderly patients. Effectiveness of comprehensive geriatric care (CGC) has not been verified. A systematic review and a meta-analysis were conducted by searching full-text databases (1988–2018) of Cochrane Library, Clinical Key, Embase, MEDLINE, CINAHL, and ProQuest for randomized controlled trials (RCTs) of CGC following hip fractures. Outcome measures were mortality, activities of daily living, hospital stay, and discharge to institutional setting. Cochrane RoB 2.0, Jadad Quality Score, and Group Reading Assessment were used for analysis. Of the 11 studies included, 8 examined mortality (effect size Z = 2.51, p = 0.01), 5 examined daily activities (effect size Z = 3.31, p = 0.0009), 7 examined length of hospital stay (effect size Z = 0.18, p = 0.85), and 5 examined discharged to an institutional setting (effect size Z = 0.81, p = 0.42). Results showed that CGC decreased mortality and improved daily living activities.

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