Spelling suggestions: "subject:"metaanalysis"" "subject:"metanalysis""
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RECONSIDERING DRUG COURT EFFECTIVENESS: A META-ANALYTIC REVIEWSHAFFER, DEBORAH KOETZLE 03 October 2006 (has links)
No description available.
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The Impact of Imprisonment on Reoffending: A Meta-AnalysisJonson, Cheryl Lero January 2010 (has links)
No description available.
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A Meta-Analytic Review of the Correlates of Perceived Stress among Police OfficersWebster, Jennifer H. 16 October 2012 (has links)
No description available.
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Effects of CO2 and Nitrogen on Plant Response to Heat StressWANG, DAN January 2008 (has links)
No description available.
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Meta-Analysis: The Effect of the Drug Fosamax on Bone Mineral Density in Multi-Dose and Multi-Year Osteoporosis Clinical Studies / Meta-Analysis: Effect of the Drug Fosamax on OsteoporosisCihon, Frank 12 1900 (has links)
Thesis / Master of Science (MS)
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Meta-Analysis: A Comparison of Fixed Effects and Random Effects Models with Illustrative ExamplesChen, Fang 12 1900 (has links)
Meta-analysis has been widely used in clinical research because it provides a useful tool for combining results from a series of trials addressing the same question. Two major approaches for study-to-study variation can be used in a meta-analysis: the fixed effects model which assumes that each study has the same true effect size, and the random effects model which assumes that the true effect size is a random variable that varies between studies. When there are covariates arising from the study, regression models can be used to explain the effects of these covariates on the between study variation in effect size. The purpose of this project is to draw some general conclusions about the
statistical methods used in meta-analyses by re-examining several clinical examples which presented some problems. Four illustrative examples of recent meta-analyses were selected and re-examined. Both fixed effects and random effects models were used. In addition, regression models were used in two examples. Some general conclusions were made about the statistical aspects of meta-analysis
from this project. The overall estimate of the fixed effects model tends to be overly influenced by large trials and may results in contradictory conclusions when extreme trials (small vs. large samples) are combined. Therefore, it is advocated that the weights allocated to each trial in any meta-analysis should be explicitly calculated and displayed. The random effects model takes a more balanced account of all studies and considers other unknown factors which may affect the effect size. Therefore, the random effects model and random effects regression model are more appropriate for these clinical data meta-analyses. / Thesis / Master of Science (MS)
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Meta-analysis of Student Assistance program OutcomesRichardson, Evelyn Cherita 13 January 2010 (has links)
The main purpose of this study was to conduct a meta-analysis with data collected from seven schools in Southwest Virginia school district. Data was collected for students who were referred to the Student Assistance Programs at each school. Tracking forms were used to record data for each student. Each tracking form was completed by the Student Assistance Program coordinators for their respective schools. This research was conducted in order to evaluate measurable performance outcomes of Student Assistance Programs. The results highlight the positive effects that Student Assistance Programs, SAP members, and other individuals associated with Student Assistance Programs have on students in need. The positive effect from participation in Student Assistance Programs is encouraging. However, recommendations are made for future research and implications of the current research are discussed. The need for additional research on this topic is prominent throughout this document. / Ph. D.
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Environmental, Biochemical, and Dietary Factors that Influence Rumen Development in Dairy CalvesCeh, Carrie Ann 12 July 2019 (has links)
The dairy industry today is beginning to dedicate more focus on the growth of the calf from birth to first breeding to better improve the milk production as well as the overall performance of the individual cows. While the development of the rumen is one of the most vital contributors to the performance of the calf, it remains unknown what molecular mechanisms are responsible for the development of the rumen, and more specifically the proliferation of rumen epithelial cells. The objectives of this study were to investigate the existing data on rumen development through meta-analysis and to explore the effects of sodium butyrate and lipopolysaccharide (LPS) on rumen development in calves through experiment.
In the first study a meta-analysis was performed to summarize the literature on calf performance and derive equations that relate rumen (e.g., rumen pH, reticulorumen weight, papillae area) and non-rumen factors (e.g., feed composition, form of feed, housing) to animal performance (e.g., intake of milk replacer (MR), starter, and forage; average daily gain (ADG); and feed efficiency). We looked at four different relationships to further investigate the connections between rumen, non-rumen, and performance factors. In the first and second relationships of interest, the effect of dietary and environmental variables on rumen variables and performance variables were examined, respectively. The third relationship of interest was how rumen variables influenced performance variables. The final relationship of interest was investigating the additive effects of the rumen, dietary, and environmental variables on the performance variables. Forward selection, multiple regression was used to derive equations to select variables that explained variation in the response variable in each model. Results showed that the variation in calf ADG was explained by daily forage intake, calves that were weaned, total starter intake, and total MR intake (concordance correlation coefficient (CCC) = 0.976). The variation in feed to gain ratio was explained by the weight of the ruminal contents, daily forage, MR, and starter intakes, percent of starter in the diet, and total starter intake (CCC = 0.992). The variation in daily forage intake was explained by the percent of the diet that was starter or MR (CCC = 0.998). The variation in daily starter intake was explained by the percent of acid detergent fiber in the starter, a pelleted starter (versus a texturized), diets including starter and forage (versus a milk replacer only diet), and the percent of the diet that was MR (CCC = 0.998). The variation in daily MR intake was explained by the percent of the diet that was starter, final body weight, ruminal propionate concentration, and daily starter intake (CCC = 0.918). Based on these analyses, although dietary and environmental factors are closely associated with calf performance, ruminal factors such as volatile fatty acid (VFA) concentration and ruminal contents appear to have additional, additive influences on calf performance.
In the second study, 24 Holstein bull calves were challenged with oral doses of LPS and sodium butyrate. The hypothesis here was that LPS and sodium butyrate would instigate rumen cell proliferation independently and additively. Calves were assigned to one of four treatments: control (CON; n=5), butyrate (BUTY; n=5), LPS only (LPS-O) (n=6), or LPS plus butyrate (LPSB; n=6). All treatments were administered orally twice daily consisting of either: 0.9% saline (CON); 11 mM sodium butyrate (BUTY); LPS ranging from 2.5 to 40 µg/kg metabolic body weight (BW0.75, LPS), or both butyrate and LPS (LPSB). Calves were fed milk replacer (22% CP, 20% fat, as-fed) and starter (20% CP, 3% fat, as-fed) based on metabolic BW, or about 12% BW of MR and 3% BW of starter. Feed intake, fecal and respiratory scores, and rectal temperature were recorded daily. Calf BW, hip height, jugular blood samples, and rumen content samples (via oroesophageal tube) were collected weekly. Calves were weaned at 6 wk of age and euthanized at 8 wk of age, whereupon ruminal weights and ruminal samples for papillae area and epithelial thickness were collected. Blood and rumen samples were analyzed for concentrations of beta-hydroxybutyrate, glucose, LPS-binding protein, and VFA. Data were analyzed as a 2x2 factorial with the repeated effect of week. Three non-orthogonal contrasts (CON versus the average of all other treatments; LPS-O versus LPSB, and LPSB versus BUTY) were investigated. Feed intake, health measures, and blood metabolites did not differ by treatment. Calf BW increased by week (P < 0.0001). Irrespective of week, LPS calves weighed more and had higher ADG than BUTY calves (P = 0.020). Irrespective of week, withers height was greater in LPS compared to CON (P = 0.006). Rumen pH and rumen VFA concentrations did not differ by treatment but did decrease and increase, respectively, with week in conjunction with increased starter intake. Total empty forestomach (P = 0.014) and reticulorumen weights (P = 0.012) were greater in LPSB compared to BUTY. Overall, LPS and sodium butyrate appeared to have synergistically affected some, but not all rumen measurements without affecting calf growth, intake, or health.
Results from the meta-analysis emphasize the importance of continuing to focus on the solid feed intake of the calf from birth through weaning. Implications from the LPS study are imperative to other dairy scientists who will attempt to further study the effects of LPS on the rumen. / Master of Science in Life Sciences / Dairy calves are born with an under-developed stomach. The stomach has four compartments: the rumen, reticulum, omasum, and abomasum. The rumen is the largest component where finger-like projections called papillae grow to absorb nutrients for the calf. It is vital to the calf that the rumen develops not only the papillae to absorb nutrients but also to foster a microbe-rich environment so the microbes can act as a defense mechanism for the calf to aid in fighting disease. While it is known that things like solid feed support the development of the rumen, the mechanism behind how that is happening still remains unclear in the literature. The objective of this study was first to better understand the relationships that exist in the literature between dietary, environmental, and ruminal factors, and second to investigate the claim that certain components of the bacteria in the rumen are stimulating rumen development independently and additively with sodium butyrate. In order to investigate the relationships amongst the dietary, environmental, and ruminal parameters, a computer program called R Studio was used to analyze over 30 different models that extracted data from a database that included a collection of 36 studies from the literature. This is also known as a meta-analysis. The associations of interest that we found were: average daily gain (ADG) of the calf was associated with daily forage intake, calves that were weaned, total starter intake, and total MR intake. Feed efficiency of the calf was associated with the weight of the ruminal contents, daily forage, milk replacer (MR), and starter intakes, percent of the diet composed of starter, and total starter intake. Daily forage intake was associated with the percent of the diet that was starter or MR. Daily starter intake was associated with acid detergent fiber in the starter, a pelleted starter (versus a texturized starter), diets including starter and forage (versus a MR only diet), and the percent of the diet that was MR. Daily MR intake was associated with the percentage of the diet that was starter, final body weight (BW), ruminal propionate concentration, and daily starter intake. These relationships emphasized that although dietary and environmental factors are more closely associated with calf performance, ruminal factors such as rumen contents and volatile fatty acid concentrations appear to have additional, additive influences on calf performance. The second part of the study objective was to explore an idea that, to our knowledge, has not been published in the literature. In the second study, 24 dairy calves were challenged with oral doses of a gram-negative bacteria lipopolysaccharide (LPS), and a short-chain fatty acid sodium butyrate. The hypothesis in this study was that the LPS and sodium butyrate would trigger metabolic pathways on the rumen cell membranes to a greater extent together, versus independently, to increase the amount of cells growing. Calves were assigned to one of four treatments: control (CON), butyrate (BUTY), LPS only (LPS-O), or LPS plus butyrate (LPSB). To study this effect, each treatment group was administered their respective treatment orally as a liquid twice daily. To measure the results, the following data was collected: feed intake, fecal and respiratory scores, rectal temperature BW, hip and withers height, blood samples, rumen content and pH samples, papillae area, epithelial thickness, and organ weights. Blood and rumen samples were analyzed for blood metabolites and volatile fatty acids concentrations respectively. Data were analyzed and results showed no difference amongst feed intake, health measures, rumen pH, rumen VFA concentration, and blood metabolites by treatment. Calves on the LPS treatment weighed more and had higher ADG than BUTY treatment calves. Withers height was higher in the LPS group when compared to CON. Stomach weights were higher in the LPSB group when compared to the BUTY group.
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Does changing social influence engender changes in alcohol intake? A meta-analysisPrestwich, A., Kellar, Ian, Conner, M., Lawton, R., Gardner, Peter, Turgut, L. 20 February 2020 (has links)
Yes / Objective: Past research has suggested that social influences on drinking can be manipulated with
subsequent reductions in alcohol intake. However, the experimental evidence for this and the best
strategies to positively change these social influences have not been meta-analyzed. This research
addressed these gaps.
Method: Randomized controlled trials testing social influence-based interventions on adults’ drinking
were systematically reviewed and meta-analyzed. The behavior change techniques used in each study
were coded and the effect sizes showing the impact of each intervention on (a) social influence and (b)
alcohol intake were calculated. Meta-regressions identified the association between these effect sizes, as
well as the effect of specific behavior change techniques on social influences.
Results: Forty-one studies comprising 17445 participants were included. Changes in social influences
were significantly associated with changes in alcohol intake. However, even moderate-to-large changes
in social influences corresponded with only a small change in drinking behavior and changing social
influences did not reduce alcohol-related problems. Providing normative information about others’
behavior and experiences was the most effective technique to change social influences.
Conclusions: Social influences and normative beliefs can be changed in drinkers, particularly by
providing normative information about how much others’ drink. However, even generating large
changes in these constructs are likely to engender only small changes in alcohol intake. / NHS Leeds, UK.
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Benefits and harms of Ketamine for management of chronic non-cancer pain / Comparative effectiveness of Ketamine for management of chronic non-cancer pain: A systematic review and network meta-analysis of randomized controlled trialsMoradi, Sara January 2024 (has links)
Background: Chronic non-cancer pain (CNCP) is a prevalent condition, imposing significant burden on healthcare systems. Ketamine is suggested as a potential intervention for CNCP management. We conducted a systematic review and network meta-analysis to assess ketamine's effects in adults with CNCP.
Methods: We searched Medline, Embase, CINAHL, and Cochrane CENTRAL up to January-2024 for randomized trials involving adults with CNCP, comparing ketamine with placebo, usual care, or other interventions. Reviewers independently assessed trial eligibility, extracted data, and evaluated risk-of-bias using the Cochrane tool. A random-effects network meta-analysis was performed. We assessed evidence certainty using GRADE.
Results: We included 38 trials, with the following comparisons made between ketamine and placebo, using 0-10 VAS: At <30 minutes, ketamine may slightly reduce pain intensity (-1.32, 95% CI: [-1.73 to -0.90], low-certainty). At 1-3 hours follow-up, ketamine may slightly reduce pain intensity (MD: -1.25, (95% CI: [-1.76 to -0.74], low-certainty). At 3-to-7 days follow-up, ketamine may have little to no effect on pain intensity (MD: -1.34, 95% CI: [-2.29 to -0.39], low-certainty). At 3-to-5 weeks follow-up, ketamine likely results in no pain reduction (MD: -0.99, 95% CI: [-2.00 to 0.03], moderate-certainty). At beyond 5 weeks the evidence about ketamine pain reduction is very uncertain (MD: -1.09, 95% CI: [-1.86 to -0.32], very-low-certainty). Ketamine had no effect on physical functioning. Compared to placebo, ketamine may result in a slight increase in the risk of gastrointestinal adverse events (RR: 3.97, 95% CI: [2.18 to 7.22], RD: 12%, 95% CI: [5% to 25%], very-low-certainty), an increase in risk of dizziness (RR: 3.66, 95% CI: [1.25 to 10.74], RD: 11%, 95% CI: [1% to 40%], low-certainty), may increase the risk of fatigue, somnolence, and sedation (RR: 2.89, 95% CI: [1.84 to 4.53], RD: 27%, 95% CI: [12% to 50%], low-certainty), may increase of the incidence of dissociative symptoms (RR: 4.22, 95% CI: [2.20 to 8.10], RD: 17%, 95% CI: [6% to 37%], low-
M.Sc. Thesis – Sara Moradi; McMaster University – Health Research Methodology
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certainty), and it may result in a slight increase in the risk of visual impairment (RR: 10.21, 95% CI: [2.86 to 36.42], RD: not evaluable, very-low-certainty). We did not have enough data to pool effect estimates for other outcomes.
Conclusion: Ketamine may provide small but important benefit in CNCP patients at immediate-to-short follow-up, but it probably has little to no benefit at beyond 3-weeks. Ketamine is likely to provide similar benefits compared to alternative active interventions; however, these benefits may be associated with important side-effects. / Thesis / Master of Science (MSc)
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