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1,200 results for “Meta analysis”
Figure 1 in Frequency of pyrethroid resistance in human head louse treatment: systematic review and meta-analysis
Figure 1. The PRISMA flow chart diagram.
Figure 3 in Relationship between vitamin D and physical activity: systematic review and meta-analysis
Figure 3. Funnel Plot of comparison 1,25 (OH) D, outcome versus physical activity (PA).
Figure 2 in Relationship between vitamin D and physical activity: systematic review and meta-analysis
Figure 2. The results of the assessment of the methodological quality of each included trial.
Animal versus plant protein and adult bone health: a systematic review and meta-analysis from the National Osteoporosis Foundation- S1 File
<p>All calculations and meta-analyses for the systematic review "Animal versus plant protein and adult bone health: a systematic review and meta-analysis from the National Osteoporosis Foundation" were conducted in Stata SE 13 (Stata Corp) using this analytical dataset <strong>(S1 File).</strong></p>
Effect size data for the meta-analysis article ""Effects of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis"
<p>This Exel file includes the effect size dataset used for the statistical analysis for the paper "Effect of vegetation management intensity on biodiversity and ecosystem services in vineyards: a meta-analysis", which will be published in the Journal of Applied Ecology in 2018.</p> <p>This meta-analysis was conducted in the course of the project VineDivers (<a href="http://www.vinedivers.eu/">www.vinedivers.eu</a>) funded through the 2013-2014 BiodivERsA/FACCE-JPI joint call for research proposals, with the national funders: Austrian Science Fund (FWF), Spanish Ministry for Economy and Competitiveness (MINECO), French National Research Agency (ANR), Romanian Executive Agency for Higher Education, Research, Development and Innovation Funding (UEFISCDI) and Federal Ministry of Education and Research (BMBF/Germany). P. Batáry was supported by the German Research Foundation (DFG BA4438/2-1) and by the Economic Development and Innovation Operational Programme of Hungary (GINOP–2.3.2–15–2016–00019).</p> <p> </p>
Biological and technical complications of tilted implants in comparison to straight implants supporting fixed dental prostheses: A systematic review and meta-analysis
<p>Dataset for all meta-analyses performed in the paper, which is submitted in Clin Oral Implants Res.<br> <br> For each outcome, the main dataset is to be used for all main analyses/subgroup analyses/sensitivity analyses. A separate version of each outcome dataset exists for the subgroup analysis according to jaw (as it included separate trial arms for maxilla and mandible).</p>
Evaluation of orthodontically induced external root resorption following orthodontic treatment using Cone Beam Computed Tomography (CBCT): a systematic review and meta-analysis
<p>Datasets for all analyses performed in the paper.</p>
Summary-level data from meta-analysis of fat distribution phenotypes in UK Biobank and GIANT
<p>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~</p> <p>Summary-level data as presented in:</p> <p>"Meta-analysis of genome-wide association studies for body fat distribution in 694,649 individuals of European ancestry." Pulit, SL et al. bioRxiv, 2018. https://www.biorxiv.org/content/early/2018/04/18/304030</p> <p>**If you use these data, please cite the above preprint.</p> <p>If you have any questions or comments regarding these files, please contact me:</p> <p>Sara L Pulit<br> spulit@well.ox.ac.uk or s.l.pulit@umcutrecht.nl</p> <p>~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~</p> <p><strong>(1) Data files</strong></p> <p><em>i. whradjbmi.giant-ukbb.meta-analysis.combined.23May2018.txt</em><br> Meta-analysis of waist-to-hip ratio adjusted for body mass index (whradjbmi) in UK Biobank and GIANT data. Combined set of samples, max N = 694,649.</p> <p><em>ii. whradjbmi.giant-ukbb.meta-analysis.females.23May2018.txt</em><br> Meta-analysis of whradjbmi in UK Biobank and GIANT data. Female samples only, max N = 379,501.</p> <p><em>iii. whradjbmi.giant-ukbb.meta-analysis.males.23May2018.txt</em><br> Meta-analysis of whradjbmi in UK Biobank and GIANT data. Male samples only, max N = 315,284.</p> <p><em>iv. whr.giant-ukbb.meta-analysis.combined.23May2018.txt</em><br> Meta-analysis of waist-to-hip ratio (whr) in UK Biobank and GIANT data. Combined set of samples, max N = 697,734.</p> <p><em>v. whr.giant-ukbb.meta-analysis.females.23May2018.txt</em><br> Meta-analysis of whr in UK Biobank and GIANT data. Female samples only, max N = 381,152.</p> <p><em>vi. whr.giant-ukbb.meta-analysis.males.23May2018.txt</em><br> Meta-analysis of whr in UK Biobank and GIANT data. Male samples only, max N = 316,772.</p> <p><em>vii. bmi.giant-ukbb.meta-analysis.combined.23May2018.txt</em><br> Meta-analysis of body mass index (bmi) in UK Biobank and GIANT data. Combined set of samples, max N = 806,834.</p> <p><em>viii. bmi.giant-ukbb.meta-analysis.females.23May2018.txt</em><br> Meta-analysis of bmi in UK Biobank and GIANT data. Female samples only, max N = 434,794.</p> <p><em>ix. bmi.giant-ukbb.meta-analysis.males.23May2018.txt</em><br> Meta-analysis of bmi in UK Biobank and GIANT data. Male samples only, max N = 374,756.</p> <p><strong>(2) Data file format</strong></p> <p>CHR: Chromosome</p> <p>POS: Chromosomal position of the SNP, build hg19</p> <p>SNP: the dbSNP151 identifier of the SNP, followed by the first allele and second allele of the SNP, delimited with a colon. A small number of SNPs (<9,000) from the GIANT data had no dbSNP151 identifier, and are left as just an rsID. Note that these SNPs are also missing chromosome and position information (not provided in the GIANT data).</p> <p>Tested_Allele: the allele for which all association statistics are reported</p> <p>Other_Allele: the other allele at the SNP</p> <p>Freq_Tested_Allele: frequency of the tested allele</p> <p>BETA: the effect size of the tested allele</p> <p>SE: the standard error of the beta</p> <p>P: the p-value of the SNP, as reported from the inverse variance-weighted fixed effects meta-analysis</p> <p>N: the total sample size for this SNP</p> <p>INFO: the imputation quality (info score) of the SNP, as reported by UK Biobank. A number between 0 and 1 indicating quality of imputation (0, poor quality; 1, high quality or genotyped). Note that the summary-level GIANT data does not report info score, so SNPs appearing only in the GIANT analysis do not have info scores.</p>
Julio-Yanes/Yanes_Cannabis_MetaAnalysis: Effects of Cannabinoid Administration for Pain: A Meta-Analysis and Meta-Regression
<p>% The following codes are associated with...</p> <p>% Effects of Cannabinoid Administration for Pain: A Meta-Analysis and Meta-Regression... Yanes, J.A., McKinnell Z.E., Reid, M.A., Busler, J.N.,... ... Michel, J.S., Pangelinan, M.M., Sutherland, M.T., Younger, J.W... ... Gonzalez, R., and Robinson, J.L. (in press). Experimental % Clinical Psychopharmacology.</p> <p>% The following codes load data associated with the above mentioned manuscript, run analyses, and prepare tables/figures.</p> <p>% Catgorical data within the dataset were coded as follows... ... Design (0 = crossover, 1 = parallel). ... Treatment (0 = placebo, 1 = THC, 2 = THC/CBD extract [Sativex],... ... 3 = THC/CBD, 4 = Nabilone, 5 = Dronabinol, 6 = CT3, 7 = CBD). ... Treatment Collapsed (0 = placebo, 1 = cannabis [whole-plant,... ... extract], 2 = synthetic cannabinoid). ... Treatment Binary (0 = placebo, 1 = cannabinoid). ... Diagonsis (1 = abdominal pain, 2 = arthritis, 3 = cancer,... ... 4 = chronic pain, 5 = diabetes, 6 = fibromyalgia, 7 = HIV,... ... 8 = headache, 9 = "various", 10 = multiple sclerosis,... ... 11 = neuropathic pain, 12 = post-operative pain).</p>
Weak effects of geolocators on small birds: a meta-analysis controlled for phylogeny and publication bias
<p>Data for our article "<strong>Weak effects of geolocators on small birds: a meta-analysis controlled for phylogeny and publication bias</strong>" by Brlík et al. </p>
PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity
<p><strong>Introduction</strong></p> <p>These are the <em>Summary Level-data</em> as presented in:</p> <p>"PR interval genome-wide association meta-analysis identifies 50 loci associated with atrial and atrioventricular electrical activity". <em>Nature Communications </em>volume 9, Article number: 2904 (2018) doi: 10.1038/s41467-018-04766-9 </p> <p>If you use these data please cite the corresponding manuscript, which can be downloaded here: https://www.nature.com/articles/s41467-018-04766-9. When you have any questions or comments regarding this study or these files, please contact me via:</p> <p>Jessica van Setten, PhD | <em>Department of Cardiology, University Medical Center Utrecht, Utrecht University</em> | j.vansetten [at] umcutrecht [dot] nl</p> <p> </p> <p><strong>Files and description</strong></p> <p>The file PR_interval_July2018_summary_results.txt is gzipped and contains the PR interval GWAS meta-analysis summary results of 92,000 European samples. The imputation reference panel used for most studies was HapMap2 (please note: hg18, build36). </p> <ul> <li><em>SNP</em> - variantID (rsID).</li> <li><em>CHR</em> - chromosome numbers [1-22 and X].</li> <li><em>POS</em> - base pair position, hg18 / build36.</li> <li><em>CODED_ALLELE</em> - coded allele, <em>i.e.</em> the effect allele, as represented (and harmonized) across cohorts. Note that this is not necessarily the minor allele.</li> <li><em>NON_CODED_ALLELE</em> - the other allele, <em>i.e.</em> the non-effect allele.</li> <li><em>CODED_ALLELE_FREQ</em> - coded allele frequency, <em>i.e.</em> the effect allele frequency. Note that this is not necessarily the minor allele frequency.</li> <li><em>BETA_FIXED</em> - beta from the fixed-effects model.</li> <li><em>SE_FIXED </em>- standard error from the fixed-effects model.</li> <li><em>P_FIXED </em>- P-value from the fixed-effects model.</li> </ul>
The Effects of Cycle and Treadmill Desks on Work Performance and Cognitive Function in Sedentary Workers: data repository of a review and meta-analysis.
<p>This repository contains additional files related to the review and meta-analysis. The first dataset contains list of search terms. The second dataset contains list od studies included in the meta-analysis. The third dataset contains study evaluation using PEDro scale tool. The fourth dataset contains two additional forrest plots (Effect of cycle and treadmill desks on typing errors and Effect of cycle and treadmill desks on congruent Eriksen Flanker test).</p>
Biological and mechanical complications of angulated abutments connected to fixed dental prostheses. A systematic review with meta-analysis
<p>Dataset for all analyses in the study</p>
Meta-analytic dataset for the network meta-analysis on pharmacological and dietary-supplement treatments for autism (PMID: 35246237)
<p>The meta-analytic dataset consists of the underlying data for the network meta-analysis on pharmacological and dietary-supplement treatments for autism (PMID: 35246237): Siafis, S., Çıray, O., Wu, H., et al. Pharmacological and dietary-supplement treatments for autism spectrum disorder: a systematic review and network meta-analysis. Molecular Autism, 13, 10 (2022). <a href="https://doi.org/10.1186/s13229-022-00488-4" target="_new" rel="noreferrer">https://doi.org/10.1186/s13229-022-00488-4</a></p> <p>This dataset was published as Additional File 7 in the aforementioned article, which is licensed under a Creative Commons Attribution 4.0 International License (<a href="https://creativecommons.org/licenses/by/4.0/" target="_new" rel="noreferrer">https://creativecommons.org/licenses/by/4.0/</a>).</p>
PRISMA flowchart for Article "Nitric oxide and tuberculosis: Systematic Review and Meta-Analysis"
Open the record for dataset details and reuse information.
Figure 6 in Frequency of pyrethroid resistance in human head louse treatment: systematic review and meta-analysis
Figure 6. Meta regression chart of the proportion of resistance on the study year.
The efficacy of hemoglobin spray in wound management: a systematic review and network meta-analysis of comparative studies
<p>Dataset</p>
100 Years of Penaeids Domestication and Meta-analysis of Breeding Traits
<p><strong>Additional files</strong></p> <p><strong>Additional file 1 Table S1</strong></p> <p>Format: csv file</p> <p>Title: Quantitative genetic publications for penaeids genetic improvement programs from 1997 to 2024.</p> <p><strong>Additional file 2 Table S2</strong></p> <p>Format: csv file</p> <p>Title: Summary of heritability estimates on breeding traits in penaeids selective breeding programs.</p> <p><strong>Additional file 3 Table S3</strong></p> <p>Format: csv file</p> <p>Title: Analysis of heritability estimates in penaeids selective breeding programs for disaese resistance, feeding efficiency, growth traits, morphological traits, quality traits, reproductive traits, stress tolerance and survival.</p>
It's a wormy world: Meta-analysis reveals several decades of change in the global abundance of the parasitic nematodes Anisakis spp. and Pseudoterranova spp. in marine fishes and invertebrates
<p>The Anthropocene has brought substantial change to ocean ecosystems, but whether this age will bring more or less marine disease is unknown. In recent years, the accelerating tempo of epizootic and zoonotic disease events has made it seem as if disease is on the rise. Is this apparent increase in disease due to increased observation and sampling effort, or to an actual rise in the abundance of parasites and pathogens? We examined the literature to track long-term change in the abundance of two parasitic nematode genera with zoonotic potential: <em>Anisakis</em> spp. and <em>Pseudoterranova</em> spp. These anisakid nematodes cause the disease anisakidosis and are transmitted to humans in undercooked and raw marine seafood. A total of 123 papers published between 1967 and 2017 met our criteria for inclusion, from which we extracted 755 host–parasite–location–year combinations. Of these, 69.7% concerned <em>Anisakis</em> spp. and 30.3% focused on <em>Pseudoterranova</em> spp. Meta-regression revealed an increase in <em>Anisakis</em> spp. abundance (average number of worms/ fish) over a 53 year period from 1962 to 2015 and no significant change in <em>Pseudoterranova</em> spp. abundance over a 37 year period from 1978 to 2015. Standardizing changes to the period of 1978–2015, so that results are comparable between genera, we detected a significant 283-fold increase in <em>Anisakis</em> spp. abundance and no change in the abundance of <em>Pseudoterranova</em> spp. This increase in <em>Anisakis</em> spp. abundance may have implications for human health, marine mammal health, and fisheries profitability.</p>
Data from: Plant-type dominates fine-root C:N:P stoichiometry across China: a meta-analysis
<p>Aim: Fine roots play an important role in biogeochemical cycling in terrestrial ecosystems. However, our understanding of large scale biogeographic patterns and drivers of fine-root C:N:P stoichiometry is extremely limited.</p> <p>Location: China.</p> <p>Methods: We compiled data for fine-root carbon (C), nitrogen (N) and phosphorus (P) concentrations at 165 sites across China to explore large-scale biogeographic patterns and drivers of fine-root C:N:P stoichiometry.</p> <p>Results: The geometric means of fine-root C, N, and P concentrations were 448.81 mg g-1, 10.73 mg g-1, and 0.9 mg g-1, respectively, whereas C:N, C:P and N:P ratios were 41.84, 508.32 and 11.73, respectively. The fine-root elemental concentrations and their ratios varied widely among plant groups and biomes, and showed clear latitudinal and longitudinal trends, as a consequence of differences in climate, soil and plant-type. However, plant-type was the largest contributor to the total variance in fine-root C, N, and P and their ratios compared to climate factors or soil features.</p> <p>Main conclusions: The data reveal the existence of broad biogeographic patterns of fine-root C:N:P stoichiometry in China. These results advance our knowledge about the biogeochemical cycling of fine roots.</p>
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.
DANDI Archive for NWB datasets
DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.
International Brain Laboratory public data
The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
OpenNeuro
OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.