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Implemented meta-analysis study can be a great benefit to society
Pubrica has extensive experience in
conducting meta-analysis a quantitative, formal, epidemiological study design
used to systematically assess the results of previous research to derive
conclusions about that body of research.
As a general principle, generating,
summarizing, and understanding the best available evidence are essential for
establishing the benefits and safety of interventions. A well designed and
implemented meta-analysis study can be a great benefit to society.
While meta-analysis has the potential to be a powerful tool in evaluating health care treatments and
interventions, there are many potential pitfalls and problems that are yet to
be resolved. A poorly performed meta-analysis can perpetuate biases from
ill-conceived studies or lead to false conclusions. This, in turn, can cause
consumers and caregivers, who frequently access results of meta-analysis
through websites and popular press, to form incorrect conclusions and can
result in inappropriate medical decisions. While the idea behind combining
studies to improve precision and power is straightforward, the actual
implementation of the process is difficult. Those who act or react based on
meta-analysis should understand the various biases that could be incorporated
into a review. Examples of some potential pitfalls in meta-analysis include
publication bias, pipeline bias, and English language bias. In addition,
combining studies that are not similar in study design, population, methods of
analysis or outcome definitions can lead to biases as well, which may result in
spurious conclusions being drawn.
Our Meta-analysis
Writing Services:
Guidelines for Reporting:Moreover, a
useful guide to improve reporting of systematic reviews and meta-analysis is
the PRISMA (Preferred Reporting Items for Systematic
reviews and Meta-analysis) statement that replaced the QUOROM
(Quality of Reporting of Meta-analysis) statemen.
Detailed Literature Search: We include all relevant studies,
because loss of studies can lead to bias in the study.
Typically, published papers and
abstracts are identified by a computerized literature 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), ISI Web of
Knowledge (https://www.isiwebofknowledge.com/), Google Scholar (https://scholar.google.com/) and CENTRAL
(Cochrane Central Register of Controlled Trials, (https://www.mrw.interscience.wiley.com/cochrane/cochrane_clcentral_articles_fs.htm).
Statistical
Analysis:
Heterogeneity: Heterogeneity (variation in true effect sizes and
in factors 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 populations or interventions) and statistical
components (eg, random differences).
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