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wiki:guide:research:extract [2022/05/10 21:02] tiffany [Configuring Data Elements] |
wiki:guide:research:extract [2022/05/17 02:17] tiffany old revision restored (2022/05/10 21:25) |
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- | ==== A note about Continuous Variables ==== | + | ===== A note about Continuous Variables |
- | Once the variables to be collected are defined, the way in which continuous variables will be extracted needs to be determined. This can be done by choosing a central tendency measure (mean or median) and a dispersion measure (standard deviation, median, or range). | + | The way in which continuous variables will be extracted needs to be determined. This can be done by choosing a central tendency measure (mean or median) and a dispersion measure (standard deviation, median, or range). |
There are four options that are typically reported: <font 10.5pt/ | There are four options that are typically reported: <font 10.5pt/ | ||
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- | ===== Extract Data Elements ===== | + | ---- |
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- | ===== | + | ===== Check Reported Outcomes Carefully |
+ | * Check units of data elements to ensure that they are reported in a consistent way. Make sure that elements are being extracted at the same time point (for instance, 7-day versus 28-day mortality) and that the wording of the study is consistent with what is being collected. | ||
+ | * Papers will sometimes report outcomes in ways that are close but not exactly the same. For instance, while the majority of studies may report cardiovascular disease, other studies may report coronary artery disease. Because coronary artery disease is a type of coronary heart disease, it would typically be fine to extract coronary artery disease into a data element called cardiovascular disease. | ||
- | ====== Best Practices for Data Extraction: NK Software ====== | + | ---- |
- | [[: | + | ===== Best Practices for Data Extraction: NK Software ===== |
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