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As discussed below, the quality use of medicines (QUM) on-line project database, known as the QUMmap [ 3], seeks to address some of these issues and provide decision makers with an interactive, accessible web-based database to search for previous and on-going QUM initiatives.
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In the discussion below, the quality of the data used in the linkage is examined before analysing the results from the linkage process.
Quality metadata may also be used in reporting systems that support operators to quickly detect images below the quality threshold out of a large population.
All included papers will then be assessed for reporting completeness and study quality using the measures described below.
The peer-reviewed publications were appraised for quality, using a tool developed for the purpose of this study (see below).
Below is an overview of the quality criteria we used: Are the research questions or objectives clearly stated?
We address two important questions in the use of SNP genotyping in historical samples: first, how call rate and repeatability of SNP genotyping varies with sample age and DNA quality (using Dataset 1, see below); and second, what is the accuracy of allele frequency estimation in DNA pools created using historical samples (using Dataset 2).
The recipe for the cake below is incredibly simple, and like all simple recipes the quality of ingredients used makes a difference.
It is for these reasons that we decided to use the quality metrics described below.
Using the quality control protein array to do the repetitive detection, the peak and strength variation coefficient (SVC) are controlled below 0.05%and15%5%, respectively.
The table below summarises the methodologies used and the quality assessments of the studies (full details are given in the Additional file 1: Table S6, and conclusions in Additional file 1: Table S7) Table 1.
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