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1,200 results for “Meta analysis”
Data from: Is computer-assisted instruction more effective than other educational methods in achieving ECG competence amongst medical students and residents? A systematic review and meta-analysis.
Objectives It remains unclear whether computer-assisted instruction (CAI) is more effective than other teaching methods in acquiring and retaining ECG competence amongst medical students and residents. Design This systematic review and meta-analysis followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines. Data sources Electronic literature searches of PubMed, databases via EBSCOhost, Scopus, Web of Science, Google Scholar and grey literature were conducted on 28 November 2017. We subsequently reviewed the citation indexes of articles identified by the search. Eligibility criteria Studies were included if a comparative research design was used to evaluate the efficacy of CAI versus other methods of ECG instruction, as determined by the acquisition and/or retention of ECG competence of medical students and/or residents. Data extraction and synthesis Two reviewers independently extracted data from all eligible studies and assessed the risk of bias. After duplicates were removed, 559 papers were screened. Thirteen studies met the eligibility criteria. Eight studies reported sufficient data to be included in the meta-analysis. Results In all studies, CAI was compared to face-to-face ECG instruction. There was a wide range of computer-assisted and face-to-face teaching methods. Overall, the meta-analysis found no significant difference in acquired ECG competence between those who received computer-assisted or face-to-face instruction. However, sub-analyses showed that CAI in a blended learning context was better than face-to-face teaching alone, especially if trainees had unlimited access to teaching materials and/or deliberate practice with feedback. There was no conclusive evidence that CAI was better than face-to-face teaching for longer-term retention of ECG competence. Conclusion CAI was not better than face-to-face ECG teaching. However, this meta-analysis was constrained by significant heterogeneity amongst studies. Nevertheless, the finding that blended learning is more effective than face-to-face ECG teaching is important in the era of increased implementation of e-learning. PROSPERO registration number CRD42017067054
Data from: A meta-analysis of nestedness and turnover components of beta diversity across organisms and ecosystems
The number of studies investigating the nestedness and turnover components of beta diversity has increased substantially, but our general understanding of the drivers of turnover and nestedness remains elusive. Here, we examined the effects of species traits, spatial extent, latitude and ecosystem type on the nestedness and turnover components of beta diversity. From the 99 studies that partition total beta diversity into its turnover and nestedness components, we assembled 269 and 259 data points for the pairwise and multiple site beta-diversity metrics, respectively. Our data covered a broad variation in species dispersal type, body size and trophic position. The data were from freshwater, marine and terrestrial realms, and encompassed geographical areas from the tropics to near polar regions. We used linear modelling as a meta-regression tool to analyse the data.Pairwise turnover, multiple site turnover and total beta diversity all decreased significantly with latitude. In contrast, multiple site nestedness showed a positive relationship with latitude. Beta-diversity components did not generally differ among the realms. The turnover component and total beta diversity increased with spatial extent, whereas nestedness was scale invariant for pairwise metrics. Multiple site beta-diversity components did not vary with spatial extent. Surprisingly, passively dispersed organisms had lower turnover and total beta diversity than flying organisms. Body size showed a relatively weak relationship with beta diversity but had important interactions with trophic position, thus also affecting beta diversity via interactive effects. Producers had significantly higher average pairwise turnover and total beta diversity than carnivores. The present results provide evidence that species turnover, being consistently the larger component of total beta diversity, and nestedness are related to the latitude of the study area and intrinsic organismal features. We showed that two beta-diversity components had generally opposing patterns with regard to latitude. We highlight that beta-diversity partition may give additional insights into the underlying causes of spatial variability in biotic communities compared with total beta diversity alone.
Data from: Australian native mammals recognise and respond to alien predators: a meta-analysis
Prey naiveté is a failure to recognise novel predators and thought to cause exaggerated impacts of alien predators on native wildlife. Yet there is equivocal evidence in the literature for native prey naiveté towards aliens. To address this, we conducted a meta-analysis of Australian mammal responses to native and alien predators. Australia has the world's worst record of extinction and declines of native mammals, largely due to two alien predators introduced some 150 years ago: the feral cat, Felis catus, and European red fox, Vulpes vulpes. Analysis of 94 responses to predator cues show that Australian mammals consistently recognise alien foxes as a predation threat, possibly because of thousands of years experience with another canid predator, the dingo, Canis lupus dingo. We also found consistent recogntion responses towards feral cats, however in 4 of the 7 studies available, these responses were of risk-taking behaviour rather than antipredator behaviour. Our results suggest that a simple failure to recognise alien predators is not behind the ongoing exaggerated impacts of alien predators in Australia. Instead, our results highlight an urgent need to better understand the appropriateness of antipredator responses in prey towards alien predators in order to understand native prey vulnerability.
Data from: Anemia and related nutrient deficiencies after Roux-en-Y gastric bypass surgery: a systematic review and meta-analysis
Objective: To obtain a pooled risk estimate on the long-term impact of anaemia and related nutritional deficiencies in patients receiving Roux-en-Y gastric bypass (RYGB) surgery. Design: Systematic review and meta-analysis. Data sources: MEDLINE, EMBASE and Cochrane databases were searched to identify English reports published before 16 May 2014. Eligibility criteria: Articles with case numbers >100, follow-up period >12 months, and complete data from both before and after surgery were selected. Outcomes of interest were changes in baseline measurements of proportion of patients with anaemia, by haemoglobin, haematocrit, ferritin, iron, vitamin B12 and folate levels. Data collection and analysis: Two reviewers independently reviewed data and selected six prospective and nine retrospective studies with a total of 5909 patients. A random effect model with inverse variance weighting was used to calculate summary estimates of outcomes at 6, 12, 24 and 36 months postoperatively. Results: Proportion of patients with anaemia was 12.2% at baseline, which, respectively, increased to 20.9% and 25.9% at 12 and 24 months follow-up, consistent with decreases in haemoglobin and haematocrit levels. Although the serum iron level did not change substantially after surgery, the frequency of patients with ferritin deficiency increased from 7.9% at baseline to 13.4% and 23.0% at 12 and 24 months, respectively, postoperation. Vitamin B12 deficiency increased from 2.3% at baseline to 6.5% at 12 months after surgery in those subjects receiving RYGB. There was no obvious increase in folate deficiency. Conclusions: RYGB surgery is associated with an increased risk of anaemia and deficiencies of iron and vitamin B12, but not folate. Ferritin is more sensitive when serum iron level is within normal range.
Data from: A meta-analysis of non-consumptive predator effects in arthropods: the influence of organismal and environmental characteristics
Non-consumptive effects (NCEs) – changes in prey behavior or physiology in response to predator threat – are common and can be as strong as consumptive effects. However, our knowledge of NCEs in arthropod systems is lacking. Factors related to study organism and environment have the potential to influence the occurrence and magnitude of NCEs in arthropod systems. While factors such as coevolutionary history of natural enemies and their prey, predator cue, predator or prey feeding mode, and refuge availability have been theoretically and empirically examined, no trends have been proposed for arthropods. We compiled 62 studies, yielding 128 predator–prey interactions, which explicitly examined NCEs in experiments where arthropods were identified to species, using a previously published database of papers from 1990 to 2005 and a new database of papers published from 2006 to 2015. Using these data, we conducted a meta-analysis to explore the influence of organismal and environmental characteristics on the magnitude of predator NCEs. Our analysis addressed the following three questions. 1) Does predator–prey coevolution give rise to stronger NCEs than when predator and prey species did not coevolve? 2) What influence does habitat type and refuge availability have on NCEs? 3) How do predator characteristics (cue type, hunting mode and life stage) and prey characteristics (mobility, life stage, specialization, gregariousness and feeding mode) influence NCEs? We found that while NCEs were similar across most measured characteristics, NCEs on prey activity were significantly stronger when predator and prey shared an evolutionary history. Our results support growing evidence that NCEs have a negative effect on prey traits and that behavioral NCEs are stronger than physiological ones. Additional studies are needed to be confident in any emerging patterns, therefore we identify key gaps in the literature on NCEs in arthropod systems and discuss ideas for moving forward.
Data from: Meta-analysis of yield response of foliar fungicide-treated hybrid corn in the United States and Ontario, Canada
Background: Foliar fungicide applications to corn (Zea mays) occur at one or more application timings ranging from early vegetative growth stages to mid-reproductive stages. Previous studies indicated that fungicide applications are profitable under high disease pressure when applied during the tasseling to silking growth stages. Few comprehensive studies in corn have examined the impact of fungicide applications at an early vegetative growth stage (V6) compared to late application timings (VT) for yield response and return on fungicide investment (ROI) across multiple locations. Objective: Compare yield response of fungicide application timing across multiple fungicide classes and calculate the probability of positive ROI. Data sources: Data were collected specifically for this analysis using a uniform protocol conducted in 13 states in the United States and one province in Canada from 2014 - 2015. Synthesis methods: Data were subjected to a primary mixed-model analysis of variance. Subsequent univariate meta-analyses, with and without moderator variables, were performed using standard meta-analytic procedures. Follow-up power and prediction analyses were performed to aid interpretation and development of management recommendations. Results: Fungicide application resulted in a positive yield response in 68.2% of the 436 trial-studies. All three moderator variables tested (application timing, fungicide class, and disease base level), had a significant effect (=0.05) on the absolute difference in yield between fungicide treated and non-treated plots ( ¯D). Application timing influenced ¯D, with V6 + VT and the VT application timings resulting in greater yield responses than the V6 application timing alone. Fungicide formulations that combined demethylation inhibitor and quinone outside inhibitor fungicides significantly increased yield response. Conclusion: Foliar fungicide applications can increase corn grain yield. To ensure the likelihood of a positive ROI, farmers should focus on applications at VT and use fungicides that include a mix of demethylation inhibitor and quinone outside inhibitor active ingredients.
Data from: Paceless life? a meta-analysis of the pace-of-life syndrome hypothesis
The pace-of-life syndrome hypothesis predicts that individual differences in behaviour should integrate with morphological, physiological, and life-history traits along a slow to fast pace-of-life continuum. For example, individuals with a "slow" pace-of-life are expected to exhibit a slower growth rate, delayed reproduction, longer lifespans, have stronger immune responses, and are expected to avoid risky situations relative to "fast" individuals. If supported this hypothesis would help resolve ecological and evolutionary questions regarding the origin and maintenance of phenotypic variation. Support for the pace-of-life syndrome hypothesis has, however, been mixed. Here we conducted a meta-analysis of 42 articles and 179 estimates testing the pace-of-life syndrome hypothesis as it applies to the integration of behaviours with physiological or life-history traits. We found little overall support for the pace-of-life syndrome hypothesis with the mean support estimated as r = 0.06. Support for the pace-of-life syndrome hypothesis was significantly higher in invertebrates (r = 0.23) than vertebrates (r = 0.02) and significantly higher when based on phenotypic (r = 0.10) versus genetic correlations (r = -0.09). We also found that females exhibited correlations between behaviour and life-history and physiology that were opposite the predictions of the pace-of-life syndrome hypothesis (r = -0.16) and that these correlations significantly differed from those observed in males (r = 0.01) or males and females pooled (r = 0.12). It was also the case that there was little support for the hypothesis when life-history and physiological traits were independently analysed (behaviour × life-history: r = 0.12; behaviour × physiology: r = 0.04). Exploratory post-hoc analyses revealed that correlations of behaviour with growth rate and hormone levels were more likely to show support for the predictions of the pace-of-life syndrome hypothesis. The lack of overall support found in our analyses suggests that general assertions regarding phenotypic integration due to "pace-of-life" and should be re-evaluated.
Data from: Which landscape size best predicts the influence of forest cover on restoration success? – A global meta-analysis on the scale of effect
Landscape context is a strong predictor of species persistence, abundance and distribution, yet its influence on the success of ecological restoration remains unclear. Thus, a primary question arises: which landscape size best predicts the effects of forest cover on restoration success? To answer this question, we conducted a global meta-analysis for biodiversity (mammals, birds, invertebrates, herpetofauna and plants) and measures of vegetation structure (cover, density, height, biomass and litter). Response ratios were calculated for comparisons between reference (e.g. old-growth forest) and disturbed sites (degraded or restored). Using an information-theoretic approach, mean response ratio (restoration success) and response ratio variance (restoration predictability) within each study landscape were regressed against the percentage of overall (summed forest cover) and contiguous (summed pixels of ≥60% forest cover) forest within eight different buffer sizes of radius 5–200 km (at 1-km resolution). We included 247 studies encompassing 196 study landscapes and 4360 quantitative comparisons. The best buffer (landscape) size varied for the following: (i) overall and contiguous forest cover, (ii) biodiversity and vegetation structure and (iii) mean response ratio and response ratio variance. Only plant biodiversity was influenced by overall forest cover (buffer size of 5, 10 and 200 km radii), while plants (10 and 200 km radii), mammals (5, 10 and 50–200 km radii), invertebrates (5 and 10 km radii), cover (5 km radii), height (5 km radii) and litter (100 km radii) were influenced by contiguous forest cover. Overall, mean response ratio and response ratio variance were positively and negatively nonlinearly related with both overall and contiguous forest cover, respectively. We reveal for the first time a clear pattern of increasing restoration success and decreasing uncertainty as contiguous forest cover increases. We also indicate preliminary recommended buffer sizes for investigating landscape restoration effects on biodiversity and vegetation structure. However, the coarse grain and variability in the data mean the optimal landscape size may not have been detected; thus, further research is needed. Synthesis and applications. When setting targets for ecological restoration, policymakers and restoration practitioners should account for the following: (i) the landscape context, particularly the amount of contiguous habitat up to 10 km around a disturbed site, and (ii) the uncertainty in restoration success, as it increases when contiguous forest cover falls below about 50%.
Data from: Effects of macrophytes on lake‐water quality across latitudes: a meta‐analysis
Macrophytes are widely recognized for improving water quality and stabilizing the desirable clear‐water state in lakes. The positive effects of macrophytes on water quality have been noted to be weaker in the (sub)tropics compared to those of temperate regions. We conducted a global meta‐analysis using 47 studies that met our set criteria to assess the overall effects of macrophytes on water quality (measured by phytoplankton chlorophyll a concentration, total nitrogen concentration, total phosphorus concentration, Secchi depth, and the trophic state index) and to investigate how these effects correlate with latitude using meta‐regressions. We also examined if the effects of macrophytes on lake‐water quality differ with growth form in (sub)tropical and temperate areas by grouping the data and then comparing the effect sizes. We found that macrophytes significantly reduced phytoplankton chlorophyll a concentration, total nitrogen concentration, total phosphorus concentration, as well as the trophic state index, but they did not have a significant overall effect on Secchi depth. The effects of macrophytes on reducing phytoplankton chlorophyll a concentration, total nitrogen concentration, and the trophic state index did not differ with latitude. However, the reduction of total phosphorus concentration was greater at lower latitudes. We showed that at lower latitudes, the positive effects of macrophytes on water quality are similar to or greater than those at higher latitudes, thus challenging the prevailing paradigm of macrophytes being less effective at enhancing lake‐water quality in the (sub)tropics. Furthermore, our data showed that the macrophyte effects vary by growth forms, and the growth forms that positively affect water quality differ between the (sub)tropical and temperate areas. We showed a lack of significant macrophyte effects in surveys within and outside macrophyte stands, suggesting difference in the sensitivities of study designs or possibly weaker effects of macrophytes in lakes compared to experimental settings.
Data from: Seed dispersal by ungulates as an ecological filter: a trait-based meta-analysis
Plant communities are often dispersal-limited and zoochory can be an efficient mechanism for plants to colonize new patches of potentially suitable habitat. We predicted that seed dispersal by ungulates acts as an ecological filter – which differentially affects individuals according to their characteristics and shapes species assemblages – and that the filter varies according to the dispersal mechanism (endozoochory, fur-epizoochory and hoof-epizoochory). We conducted two-step individual participant data meta-analyses of 52 studies on plant dispersal by ungulates in fragmented landscapes, comparing eight plant traits and two habitat indicators between dispersed and non-dispersed plants. We found that ungulates dispersed at least 44% of the available plant species. Moreover, some plant traits and habitat indicators increased the likelihood for plant of being dispersed. Persistent or nitrophilous plant species from open habitats or bearing dry or elongated diaspores were more likely to be dispersed by ungulates, whatever the dispersal mechanism. In addition, endozoochory was more likely for diaspores bearing elongated appendages whereas epizoochory was more likely for diaspores released relatively high in vegetation. Hoof-epizoochory was more likely for light diaspores without hooked appendages. Fur-epizoochory was more likely for diaspores with appendages, particularly elongated or hooked ones. We thus observed a gradient of filtering effect among the three dispersal mechanisms. Endozoochory had an effect of rather weak intensity (impacting six plant characteristics with variations between ungulate-dispersed and non-dispersed plant species mostly below 25%), whereas hoof-epizoochory had a stronger effect (eight characteristics included five ones with above 75% variation), and fur-epizoochory an even stronger one (nine characteristics included six ones with above 75% variation). Our results demonstrate that seed dispersal by ungulates is an ecological filter whose intensity varies according to the dispersal mechanism considered. Ungulates can thus play a key role in plant community dynamics and have implications for plant spatial distribution patterns at multiple scales.
Obesity and the Receipt of Influenza and Pneumococcal Vaccination: a Systematic Review and Meta-analysis dataset
<p>Meta-analysis dataset from <strong>Obesity and the Receipt of Influenza and Pneumococcal Vaccination: a Systematic Review and Meta-analysis</strong>, in press at BMC Obesity</p>
Interventions to Improve Maternal- and Paternal-Fetal Bonding: A Systematic Review and Meta-Analysis
Open the record for dataset details and reuse information.
Meta-analysis dataset on the temperature sensitivity of monoterpene emissions
<p>The attached file includes the meta-analysis dataset that was used for the study entitled ''High temperature sensitivity of monoterpene emissions from global vegetation ''</p>
Initial litter quality drives the consistent negative effects of fauna exclusion on litter decomposition in diverse ecosystems: A global meta-analysis
<p class="MsoNormal"><strong><span>Aim:</span></strong> <span>Despite the extensive research done on the consequences of faunal impacts on litter decomposition in different experimental contexts, a thorough assessment of their impacts and causes in various habitats around the world is still missing. Here, we aimed to explore general patterns and key drivers (e.g.,</span> <span>climate, environment, litter quality) of faunal effects on litter decomposition in terrestrial and aquatic ecosystems.</span></p> <p class="MsoNormal"><strong><span>Location: </span></strong><span>Global.</span></p> <p class="MsoNormal"><strong><span>Time period: </span></strong><span>1980-2022.</span></p> <p class="MsoNormal"><strong><span>Major taxa studied: </span></strong><span>Plant litter and fauna.</span></p> <p class="MsoNormal"><strong><span>Methods: </span></strong><span>We investigate the effects of fauna exclusion on litter decomposition in terrestrial and aquatic ecosystems through a meta-analysis of 819 pairs of observations from 110 studies on terrestrial litter decomposition and 402 pairs of observations from 60 studies on aquatic litter decomposition.</span></p> <p class="MsoNormal"><strong><span>Results: </span></strong><span>Fauna exclusion reduced litter decomposition rates in terrestrial and aquatic ecosystems by 34% and 46% on average, respectively. In terrestrial ecosystems, the faunal effects differed among climate zone, precipitation level, and decomposition duration. Faunal effects were larger in warmer and moister climates, and decreased with the extension of decomposition time. However, in aquatic ecosystems, these moderating variables did not affect the negative effects of fauna exclusion. We also found that the faunal effects on litter decomposition were mainly associated with the initial litter quality and climate in terrestrial ecosystems, and with the initial litter quality in aquatic ecosystems.</span></p> <p class="MsoNormal"><strong><span>Main conclusions: </span></strong><span>Fauna exclusion had consistent negative effects on litter decay in both terrestrial and aquatic ecosystems, and </span><span>initial litter </span><span>quality was the main factor that determined the extent of faunal effects on litter decomposition. Our findings highlight the significance of fauna diversity</span><span> </span><span><span>conservation worldwide, and underscore the need to incorporate fauna effects into dynamic models of litter decomposition in order to examine the effects and processes of land-water-atmosphere carbon fluxes.</span></span></p>
Predictive physiological anticipatory activity preceding seemingly unpredictable stimuli: An update of Mossbridge et al's meta-analysis
<p>The research that created this data is described in:</p> <ul> <li>Duggan M and Tressoldi P. Predictive physiological anticipatory activity preceding seemingly unpredictable stimuli: An update of Mossbridge et al’s meta-analysis [version 2; referees: 2 approved]. F1000Research 2018, 7:407 (https://doi.org/10.12688/f1000research.14330.2)</li> </ul> <p>Two files are included:</p> <ul> <li>MA_PPAA_Final.xlsx - Database</li> <li>Code.pdf - Code</li> </ul>
Systematic review and meta-analysis of the occurrence of Listeria monocytogenes in fresh produce in selected developing countries
<p>This dataset contain the supplementary data for "<a><span>Sy</span></a><span><span></span></span><span>stematic review and meta-analysis of the occurrence of <em>Listeria monocytogenes</em> in fresh produce in selected developing countries"</span></p>
raw data - Effect of the decompression only compared to decompression with on lumbar degenerative spondylolisthesis: A meta-analysis
Open the record for dataset details and reuse information.
Alterations of brain metabolites in adults with HIV: a systematic meta-analysis of MRS studies
<p><span><span><span><span><span><span><span><span><span><span><span><b>Objective.</b> A meta-analysis of proton magnetic resonance spectroscopy (MRS) studies to investigate alterations in brain metabolites in people with HIV (PWH), as well as their relationship with combination antiretroviral therapy (cART) and cognitive impairment. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Methods.</b> The PubMed database was searched for studies published from 1997 to 2020. Twenty-seven studies were identified, which included 1255 PWH and 633 controls. Four metabolites (N-acetyl aspartate (NAA), myo-Inositol (mI), choline (Cho), and glutamatergic metabolites (Glx) from five brain regions (basal ganglia (BG), frontal gray and white matter (FGM, FWM), and parietal gray and white matter (PGM, PWM)) were pooled separately using random-effects meta-analysis.</span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Results. </b>During early HIV infection, metabolite alterations were largely limited to the BG, including Cho elevation, a marker of inflammation. <span><span>cART led to global mI and Cho normalization (i.e., less elevations)</span></span>, but improvement in NAA was negligible. In chronic PWH on cART, there were consistent NAA reductions across brain regions, along with Cho and mI elevations in the FWM and BG, and Glx elevations in the FWM. Cognitive impairment was associated with NAA reduction and to a lesser degree, mI elevation. </span></span></span></span></span></span></span></span></span></span></span></p> <p><span><span><span><span><span><span><span><span><span><span><span><b>Conclusions.</b> The basal ganglia is the primary region affected during early infection. cART is successful in partially controlling neuroinflammation (global mI and Cho <span><span>normalization</span></span>). However, neuronal dysfunction (NAA reductions) and neuroinflammation (mI and Cho elevations) persist and contribute to cognitive impairment in chronic PWH. Novel compounds targeting NAA signal pathways, along with better neuroinflammation control, may help to reduce cognitive impairment in PWH. </span></span></span></span></span></span></span></span></span></span></span></p>
Effectiveness of chlorhexidine on periodontal health during fixed appliance orthodontic treatment: a systematic review and meta-analysis
<p>Dataset for all analyses run.</p>
A global meta-analysis of tree plantations impacts on biodiversity
<p>By conducting a meta-analysis of 361 observations from 138 sites worldwide, we explored the global patterns and associated drivers of biodiversity responding to tree plantations by comparing biodiversity levels in plantations and its adjacent habitats.</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.