scholarly journals Efectos de la intervención en conciencia morfológica sobre la lectura, escritura y comprensión: Meta-análisis

2015 ◽  
Vol 32 (1) ◽  
pp. 60 ◽  
Author(s):  
Mercedes I. Rueda-Sánchez ◽  
Patricia López-Bastida
Keyword(s):  
Effect Size ◽  
Selection Criteria ◽  
Meta Analysis ◽  
Reading Difficulties ◽  
Morphological Awareness ◽  
Awareness Training ◽  
Moderating Variables ◽  
Reading Vocabulary ◽  
Morphological Awareness Training ◽  
The Impact

The aim is to check, through a meta-analysis, the impact of morphological awareness training on writing, reading, comprehension and vocabulary of grade schooler. 31 studies were included in the meta-analysis; they were obtained from 19 articles that meet the selection criteria. Morphological awareness instruction has a high-medium and significant effect size in studied variables of literacy. On writing, <em>g</em>=0.491, <em>SE</em>=0.078, <em>IQ</em>=0339-0643, <em>p</em>=.000, reading, <em>g</em>=0.473, <em>SE</em>=0.096, <em>IQ</em>=0284-0662, <em>p</em>=.000, comprehension, <em>g</em>=0.468, <em>SE</em>=0.123, <em>IQ</em>=0227-0708, <em>p</em>= .000 and finally vocabulary, <em>g</em>=0.501, <em>SE</em>=0.152, <em>IQ</em>=0203-0798, <em>p</em>= .001. The test of Heterogeneity <em>Q</em> is only significant on writing so other moderating variables were explored but no differences between groups were found. It shows morphological awareness training improves reading, vocabulary and comprehension of grade schooler with and without reading difficulties. Nevertheless, the results on writing are more heterogeneous.

Evaluating the effectiveness of interventions to reducing screen time in children: meta-analysis of randomized controlled trials

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Duygu Akçay ◽  
Nuray Barış
Keyword(s):  
Effect Size ◽  
Subgroup Analysis ◽  
Screen Time ◽  
Meta Analysis ◽  
Intervention Group ◽  
Evidence Base ◽  
Control Group ◽  
Content Type ◽  
Mean Differences ◽  
The Impact

Purpose The purpose of this paper is to evaluate the impact of interventions focused on reducing screen time in children. Design/methodology/approach Studies that aim to investigate the effects of interventions aimed at reducing the time spent in front of the screen (i.e. screen time). A Random-effects model was used to calculate the pooled standard mean differences. The outcome was to evaluate the screen time in children in the 0–18 age range. A subgroup analysis was performed to reveal the extent to which the overall effect size varied by subgroups (participant age, duration of intervention and follow). Findings For the outcome, the meta-analysis included 21 studies, and the standard difference in mean change in screen time in the intervention group compared with the control group was −0.16 (95% confidence interval [CI], −0.21 to −0.12) (p < 0.001). The effect size was found to be higher in long-term (=7 months) interventions and follow-ups (p < 0.05). Originality/value Subgroup analysis showed that a significant effect of screen time reduction was observed in studies in which the duration of intervention and follow-up was =7 months. As the evidence base grows, future researchers can contribute to these findings by conducting a more comprehensive analysis of effect modifiers and optimizing interventions to reduce screen time.

scholarly journals Reliability of Computerized Neurocognitive Tests for Concussion Assessment: A Meta-Analysis

2017 ◽  
Vol 52 (9) ◽  
pp. 826-833 ◽  
Author(s):  
James L. Farnsworth ◽  
Lucas Dargo ◽  
Brian G. Ragan ◽  
Minsoo Kang
Keyword(s):  
Correlation Coefficient ◽  
Intraclass Correlation Coefficient ◽  
Effect Size ◽  
Sampling Error ◽  
Meta Analysis ◽  
Intraclass Correlation ◽  
Cognitive Testing ◽  
Test Duration ◽  
Neurocognitive Tests ◽  
The Impact

Objective:  Although widely used, computerized neurocognitive tests (CNTs) have been criticized because of low reliability and poor sensitivity. A systematic review was published summarizing the reliability of Immediate Post-Concussion Assessment and Cognitive Testing (ImPACT) scores; however, this was limited to a single CNT. Expansion of the previous review to include additional CNTs and a meta-analysis is needed. Therefore, our purpose was to analyze reliability data for CNTs using meta-analysis and examine moderating factors that may influence reliability. Data Sources:  A systematic literature search (key terms: reliability, computerized neurocognitive test, concussion) of electronic databases (MEDLINE, PubMed, Google Scholar, and SPORTDiscus) was conducted to identify relevant studies. Study Selection:  Studies were included if they met all of the following criteria: used a test-retest design, involved at least 1 CNT, provided sufficient statistical data to allow for effect-size calculation, and were published in English. Data Extraction:  Two independent reviewers investigated each article to assess inclusion criteria. Eighteen studies involving 2674 participants were retained. Intraclass correlation coefficients were extracted to calculate effect sizes and determine overall reliability. The Fisher Z transformation adjusted for sampling error associated with averaging correlations. Moderator analyses were conducted to evaluate the effects of the length of the test-retest interval, intraclass correlation coefficient model selection, participant demographics, and study design on reliability. Heterogeneity was evaluated using the Cochran Q statistic. Data Synthesis:  The proportion of acceptable outcomes was greatest for the Axon Sports CogState Test (75%) and lowest for the ImPACT (25%). Moderator analyses indicated that the type of intraclass correlation coefficient model used significantly influenced effect-size estimates, accounting for 17% of the variation in reliability. Conclusions:  The Axon Sports CogState Test, which has a higher proportion of acceptable outcomes and shorter test duration relative to other CNTs, may be a reliable option; however, future studies are needed to compare the diagnostic accuracy of these instruments.

Abstract WMP37: Methodological Quality and Meta-Analysis of Animal Studies of Mesenchymal Stromal Cells for Ischemic Stroke

Stroke ◽  
2013 ◽  
Vol 44 (suppl_1) ◽  
Author(s):  
Kate Xie* ◽  
Quynh Vu* ◽  
Mark Eckert ◽  
Weian Zhao ◽  
Steven C Cramer
Keyword(s):  
Mesenchymal Stromal Cells ◽  
Effect Size ◽  
Stromal Cells ◽  
Methodological Quality ◽  
Meta Analysis ◽  
Quality Score ◽  
Behavioral Effects ◽  
Behavioral Measure ◽  
Routes Of Administration ◽  
The Impact

INTRODUCTION: Mesenchymal stromal cells (MSC) are multipotent cells that support numerous restorative processes after stroke. The ease of isolation and immunoprivileged status of MSC have stimulated numerous preclinical stroke studies. We performed a meta-analysis to estimate study quality, size of behavioral effects, and the impact of variables such as timing of MSC administration in relation to stroke onset. METHODS: Studies of MSC and stroke were identified through PubMed and Web of Science. Studies of hemorrhage, not in English, or using modified MSC were excluded. A Quality Score was determined for each study, estimating methodological quality using 10 criteria derived from STAIR guidelines, with higher Quality Scores reflecting greater compliance with issues such as randomization and outcome blinding. Outcome data extracted for MSC and control arms were used to derive estimates of effect size using Cohen’s d. RESULTS: A total of 46 studies met criteria, with 39 studying rats, 6 mice, and 1 primates. There were 61 treatment groups, as some studies had >1 independent MSC treatment arms; MSC were introduced intravenously in 41, intracerebrally in 15, and intraarterially in 6. MSC source was rat in 24, human in 16, and mouse in 6. Time of MSC administration ranged from 5 weeks pre- to 1 month post-stroke. MSC dose ranged from 1x10^4 to 3.25x10^7. The median Quality Score was 6 (IQR 5-7). Quality Score was not related to time of MSC administration relative to stroke or to behavioral effect size. Median effect size was 2.05 for the Modified Neurological Severity Scale (n=23), 1.88 for Adhesive Removal Test (n=19), and 2.70 for the Rotarod Test (n=14). Effect sizes were substantial across all routes of administration and differed only for the mNSS (p<0.04), favoring the IC route. Effect size did not vary with time of MSC administration relative to stroke for any behavioral measure. CONCLUSIONS: The quality of preclinical MSC stroke studies has generally been good. MSC consistently provide very large behavioral benefits, across scales and routes of administration. The magnitude of behavioral effects was not related to the Quality Score or to the time of MSC administration relative to stroke. These findings support translation of MSC to human trials.

scholarly journals Considering the methodological limitations in the evidence base of antidepressants for depression: a reanalysis of a network meta-analysis

BMJ Open ◽  
2019 ◽  
Vol 9 (6) ◽  
pp. e024886 ◽  
Author(s):  
Klaus Munkholm ◽  
Asger Sand Paludan-Müller ◽  
Kim Boesen
Keyword(s):  
Systematic Review ◽  
Clinical Study ◽  
Effect Size ◽  
Meta Analysis ◽  
Evidence Base ◽  
Risk Of Bias ◽  
Depression Symptom ◽  
Meta Analyses ◽  
The Impact ◽  
Clinical Study Reports

ObjectivesTo investigate whether the conclusion of a recent systematic review and network meta-analysis (Ciprianiet al) that antidepressants are more efficacious than placebo for adult depression was supported by the evidence.DesignReanalysis of a systematic review, with meta-analyses.Data sources522 trials (116 477 participants) as reported in the systematic review by Ciprianiet aland clinical study reports for 19 of these trials.AnalysisWe used the Cochrane Handbook’s risk of bias tool and the Grading of Recommendations Assessment, Development and Evaluation (GRADE) approach to evaluate the risk of bias and the certainty of evidence, respectively. The impact of several study characteristics and publication status was estimated using pairwise subgroup meta-analyses.ResultsSeveral methodological limitations in the evidence base of antidepressants were either unrecognised or underestimated in the systematic review by Ciprianiet al. The effect size for antidepressants versus placebo on investigator-rated depression symptom scales was higher in trials with a ‘placebo run-in’ study design compared with trials without a placebo run-in design (p=0.05). The effect size of antidepressants was higher in published trials compared with unpublished trials (p<0.0001). The outcome data reported by Ciprianiet aldiffered from the clinical study reports in 12 (63%) of 19 trials. The certainty of the evidence for the placebo-controlled comparisons should be very low according to GRADE due to a high risk of bias, indirectness of the evidence and publication bias. The mean difference between antidepressants and placebo on the 17-item Hamilton depression rating scale (range 0–52 points) was 1.97 points (95% CI 1.74 to 2.21).ConclusionsThe evidence does not support definitive conclusions regarding the benefits of antidepressants for depression in adults. It is unclear whether antidepressants are more efficacious than placebo.

scholarly journals Clinical determinants associated with quality of life for people who live with HIV/AIDS: a Meta-analysis

2019 ◽  
Vol 19 (1) ◽  
Author(s):  
Hesam Ghiasvand ◽  
Katherine M. Waye ◽  
Mehdi Noroozi ◽  
Gholamreza Ghaedamini Harouni ◽  
Bahram Armoon ◽  
...  
Keyword(s):  
Quality Of Life ◽  
Confidence Interval ◽  
Effect Size ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Cd4 Count ◽  
Co Morbidity ◽  
The Impact ◽  
Hiv Aids

Abstract Background During recent years, Quality of Life (QoL) is a significant assessment factor in clinical trials and epidemiological researches due to the advent of Antiretroviral Therapy (ART), Human Immunodeficiency Virus (HIV) has become a manageable,chronic disease. With regards, more attention must be paid to the QoL of infected patients. Limited evidence exists on the impact of ART on QoL among HIV infected patients. Due to lacking of a systematic approach to summarizing the available evidence on the clinical determinants of People Who Live with HIV/AIDS (PWLHs’) QoL, this study aimed to analyze the impact of clinical determinants (ART experience, CD4 count < 200, co-morbidities, time diagnosis and accessibility to cares) on QoL among PWLHs’. Methods This study was designed in accordance with Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA). PubMed, Science Direct, Web of Science, and Cochrane electronic databases were searched in February 2017 to identify all past studies that discussed social and behavioral characteristics of QoL in PLWHA. To recognize effective factors on social and behavioral QoL, a meta-analysis was conducted. Polled Odds Ratios (ORs) were utilized at a 95% confidence level. Since sampling methods differed between articles in the systematic review, we evaluated pooled estimates using a random effect model. Metan, metareg, metacum, and metabias commands in STATA version 13.0 were applied to analyze the data. Results Our findings indicated that ART has a positive impact on QoL, with a pooled effect size at approximately 1.04 with a confidence interval between 0.42 to 1.66 which indicates this impact is not very considerable and may be relatively neutral. The pooled effect size for CD4 count on QoL was .29 (95%CI = .22–.35), indicating that there is a negative associate between CD4 count and QoL. The co-morbidity as a negative determinant for QoL among HIV/AIDS infected people. The pooled effect size implies on a relative neutral association, although the confidence interval is wide and ranges between 0.32 to 1.58. The pooled effect size is about 1.82 with confidence interval 1.27 to 2.37 which indicates a considerable positive association with lowest level of heterogeneity. Conclusions The results illustrated that time diagnosing and availability to hospital services had significant relationship with a higher QoL and CD4 < 200 was associated with a lower QoL. In conclusion, policy makers should set an agenda setting to provide a suitable diagnostic and therapeutic facilities to early detecting and continues monitoring the health status of People Who Live with HIV/AIDS (PWLHs’).

scholarly journals Strength of functional signature correlates with effect size in autism

2016 ◽  
Author(s):  
Sara Ballouz ◽  
Jesse Gillis
Keyword(s):  
Study Design ◽  
Effect Size ◽  
Statistical Power ◽  
Fragile X ◽  
Meta Analysis ◽  
Autism Spectrum ◽  
Protein Interaction Data ◽  
Functional Convergence ◽  
Study Designs ◽  
The Impact

AbstractBackgroundDisagreements over genetic signatures associated with disease have been particularly prominent in the field of psychiatric genetics, creating a sharp divide between disease burdens attributed to common and rare variation, with study designs independently targeting each. Meta-analysis within each of these study designs is routine, whether using raw data or summary statistics, but combining results across study designs is atypical. However, tests of functional convergence are used across all study designs, where candidate gene sets are assessed for overlaps with previously known properties. This suggests one possible avenue for combining not study data, but the functional conclusions that they reach.MethodIn this work, we test for functional convergence in autism spectrum disorder (ASD) across different study types, and specifically whether the degree to which a gene is implicated in autism is correlated with the degree to which it drives functional convergence. Because different study designs are distinguishable by their differences in effect size, this also provides a unified means of incorporating the impact of study design into the analysis of convergence.ResultsWe detected remarkably significant positive trends in aggregate (p < 2.2e-16) with 14 individually significant properties (FDR<0.01), many in areas researchers have targeted based on different reasoning, such as the fragile X mental retardation protein (FMRP) interactor enrichment (FDR 0.003). We are also able to detect novel technical effects and we see that network enrichment from protein-protein interaction data is heavily confounded with study design, arising readily in control data.ConclusionsWe see a convergent functional signal for a subset of known and novel functions in ASD from all sources of genetic variation. Meta-analytic approaches explicitly accounting for different study designs can be adapted to other diseases to discover novel functional associations and increase statistical power.

scholarly journals Ocean acidification and bivalve byssus: explaining variable responses using meta-analysis

2021 ◽  
Author(s):  
Jeff Clements ◽  
Matthew N. George
Keyword(s):  
Body Size ◽  
Ocean Acidification ◽  
Effect Size ◽  
Literature Search ◽  
Meta Analysis ◽  
Size Variation ◽  
Future Research ◽  
Systematic Literature Search ◽  
Attachment Strength ◽  
The Impact

1. Many bivalve molluscs settle and attach to surfaces using adhesive byssal threads – proteinaceous fibers that together form a network known as the byssus. Since these bivalves rely on byssus for survival, strong byssal attachment promotes a myriad of broad ecological services, including water filtration, nutrient extraction, sediment stabilization, and enhancing biodiversity through habitat creation.2. Numerous studies have documented weakened byssal attachment strength under ocean acidification (OA); however, a comparable number report no effect, even within the same species. Consequently, whether elevated CO2 levels expected under near-future OA will affect byssal attachment strength in nature remains hotly contested.3. We used a systematic literature search and meta-analysis to explore factors that could potentially explain observed effect size variation in byssal attachment strength following OA exposure. 4. A systematic literature search uncovered 20 studies experimentally testing the impact of OA on byssal attachment strength (or some proxy thereof). Meta-analysis revealed that body size (mean shell length) was the strongest predictor of effect size variation, with no significant effect of climate, species, year, study temperature, study location, exposure time, food amount, and pH offset. Functionally, a negative linear relationship was observed between body size and effect size.5. Our finding that the byssal strength of larger bivalves is more susceptible to negative OA effects runs counter to prevailing wisdom that larger, older animals of a given species are more robust to OA than earlier life history stages. 6. This highlights that body size and age may be important factors that determine OA sensitivity in adult calcifiers. In addition to body size, a critical review of each study revealed commonly neglected factors that could influence byssal thread attachment strength which we highlight to provide suggestions for future research in this area.

scholarly journals The Effectiveness of Dynamic Geometry Software Applications in Learning Mathematics: A Meta-Analysis Study

2021 ◽  
Vol 15 (02) ◽  
pp. 18
Author(s):  
Dadang Juandi ◽  
Yaya Sukjaya Kusumah ◽  
Maximus Tamur ◽  
Krisna Satrio Perbowo ◽  
Muhammad Daut Siagian ◽  
...  
Keyword(s):  
High Schools ◽  
Effect Size ◽  
Meta Analysis ◽  
Random Effect Model ◽  
Dynamic Geometry ◽  
Dynamic Geometry Software ◽  
Analysis Study ◽  
Mathematical Abilities ◽  
Study Characteristics ◽  
The Impact

The purpose of this study was to (1) assess the impact of using Dynamic Geometry Software (DGS) on students’ mathematical abilities, (2) determine the differences in effectiveness based on study characteristics in order to help educators decide under what conditions the use of DGS would be suitable in improving students' mathematical abilities. This meta-analysis study investigates 57 effect sizes from 50 articles that have been published in journals, international and domestic proceedings from 2010 to 2020 using the Comprehensive Meta-Analysis (CMA) tool as a calculation tool. Meanwhile, the Hedges coefficient is applied to the calculation of the effect size at the 95% confidence level. Based on a random effect model with a standard error of 0.09, the analysis results have found an overall effect size of 1.07. This means that learning using DGS has a high positive effect on students' mathematical abilities. The effect size of 1.07 explains the average student who uses DGS exceeds 84% math ability of those in conventional classes that are initially equivalent. Analysis of the study characteristics found significant differences in terms of sample size, student to computer ratio, and education level. This research showed the DGS used was more effective under certain conditions. First, it is very effective in sample conditions less than or equal to 30. Second, it provides classrooms with a sufficient number of computers, allowing students to use them individually, which is required to achieve higher effectiveness levels. Third, DGS is effective in high schools and colleges than in junior high schools. These facts can help educators in deciding on the appropriate sample sizes, student to computer ratios, and future levels of education in using DGS.

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