This systematic review has been registered with the International Prospective Registry of Systematic Reviews (PROSPERO), registration number "CRD42020184828" dated 05-07-2020). The assembly of this systematic review was through strict adherance to the PRISMA 2020 guidelines for reporting systematic reviews. It will also give clarity of the variation of the complications of the condition among the various demographic groups. This systematic review will provide a synthesis of the data that is available reporting on the changes in the concentration of immune cells and selected markers during prediabetes. These include changes in concentration of immune cells and inflammatory markers. Recent findings stipulate that in this state, there are changes that are often associated with T2D. This condition has been shown to be asymptomatic thus making it hard to investigate the changes that occur in the body during this state. Pre-diabetes is an intermediate state between normoglycaemia and type 2 diabetes (T2D). More important, to our knowledge this is the first description of a method for producing a statistically adequate but graphically appealing forest plot summarizing descriptive data, using widely available software. It is possible to conduct a meta-analysis using only Microsoft Excel. We have also developed a second spreadsheet capable of producing customized forest plots. We constructed a step-by-step guide to perform a meta-analysis in a Microsoft Excel spreadsheet, using either fixed-effect or random-effects models. Analyses can be conducted using Microsoft Excel, but there was no previous guide available. Most available softwares have limitations in dealing with descriptive data, and the graphical display of summary statistics such as incidence and prevalence is unsatisfactory. Commercial specialist software is available, but may be expensive and focused in a particular type of primary data. General purpose statistical packages can meta-analyze data, but usually require external macros or coding. Meta-analyses are necessary to synthesize data obtained from primary research, and in many situations reviews of observational studies are the only available alternative.
0 kommentar(er)
