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Pubrica has vast experience in meta-analysis, which is a quantitative, formal, epidemiological study design used to systematically assess the outcomes of prior research in order to draw conclusions about that body of research. For More : https://pubrica.com/services/research-services/meta-analysis/ Why Pubrica: When you order our services, We promise you the following – Plagiarism free | always on Time | 24*7 customer support | Written to international Standard | Unlimited Revisions support | Medical writing Expert | Publication Support | Biostatistical experts | High-quality Subject Matter Experts. Contact us: Web: https://pubrica.com/ Blog: https://pubrica.com/academy/ Email: [email protected] WhatsApp : +91 9884350006 United Kingdom: +44- 74248 10299
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META ANALYSIS
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WRITING META ANALYSISPubrica has extensive experience in conductingmeta-analysis a quantitative, formal, epidemiologicalstudy design used to systematically assess the resultsof previous research to derive conclusions about thatbody of research.
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As a general principle, generating, summarizing, andunderstanding the best available evidence are essential forestablishing the benefits and safety of interventions.
A well designed and implemented meta-analysis study can bea great benefit to society.
While meta-analysis has the potential to be a powerful tool inevaluating health care treatments and interventions, there aremany potential pitfalls and problems that are yet to beresolved.
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A poorly performed meta-analysis can perpetuatebiases from ill-conceived studies or lead to falseconclusions.
This, in turn, can cause consumers and caregivers, whofrequently access results of meta-analysis throughwebsites and popular press, to form incorrectconclusions and can result in inappropriate medicaldecisions.
While the idea behind combining studies to improveprecision and power is straightforward, the actualimplementation of the process is difficult.
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Those who act or react based on meta-analysis shouldunderstand the various biases that could beincorporated into a review.
Examples of some potential pitfalls in meta-analysisinclude publication bias, pipeline bias, and Englishlanguage bias. In addition, combining studies that arenot similar in study design, population, methods ofanalysis or outcome definitions can lead to biases aswell, which may result in spurious conclusions beingdrawn.
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Guidelines for Reporting: Moreover, a useful guide to improve reporting ofsystematic reviews and meta-analysis is the PRISMA (Preferred ReportingItems for Systematic reviews and Meta-analysis) statement that replacedthe QUOROM (Quality of Reporting of Meta-analysis) statemen.
Detailed Literature Search: We include all relevant studies, because loss ofstudies can lead to bias in the study.
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Typically, published papers and abstracts are identified by a computerizedliterature search of electronic databases that can include PubMed(http://www.ncbi.nlm.nih.gov./entrez/query.fcgi), ScienceDirect(http://www.sciencedirect.com/), Scirus (http://www.scirus.com/srsapp), ISIWeb of Knowledge (https://www.isiwebofknowledge.com/), Google Scholar(https://scholar.google.com/) and CENTRAL (Cochrane Central Register ofControlled Trials,
(https://www.mrw.interscience.wiley.com/cochrane/cochrane_clcentral_articles_fs.htm).
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Statistical Analysis
Heterogeneity: Heterogeneity (variation in true effect sizes and infactors that might influence those effect sizes) is inherent in meta-analysis, not a problem to be solved.
It includes clinical components (eg, diversity in patient populationsor interventions) and statistical components (eg, randomdifferences).
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