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wiki:guide:research:tag [2022/02/01 21:33] erin.sheffels Added initial content |
wiki:guide:research:tag [2023/06/07 00:31] (current) jthurnham [Building Tagging Systems] |
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- | ====== Tagging ====== | + | ====== |
- | Tagging is a process of applying a set of labels to the included studies in a review. AutoLit offers a [[: | + | Tagging is a process of applying a set of labels to the included studies in a review. AutoLit offers a [[: |
===== Why we tag ===== | ===== Why we tag ===== | ||
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Tagging is a form of data gathering and study organization. Even in quantitative meta-analyses, | Tagging is a form of data gathering and study organization. Even in quantitative meta-analyses, | ||
- | ===== Building | + | ===== Building |
- | In order for the tags to be useful, tagging hierarchies need to be kept simple. If every study has a completely unique tag, then using the organization systems and drawing a synthesis from the tagging becomes more difficult. | + | To start building a tagging system, lay out tags related to your study' |
- | ===== Avoiding Gap Teeth ===== | + | {{ : |
+ | ==== Tagging Hierarchies | ||
+ | In hierarchical tagging systems, tags can be nested under broader umbrella tags. For example, tags for interventions of interest can be grouped together under an " | ||
+ | When applying tags from a hierarchical tagging structure, it's important to apply tags from the lowest level possible. For example, when using the hierarchy above, studies reporting patients treated with remdesivir should be tagged with " | ||
+ | |||
+ | {{ : | ||
+ | |||
+ | ===== Applying Tags ===== | ||
+ | |||
+ | When applying a tag, it's useful to note the text, figure, or table in the study that supports the application of that tag. For example, the text supporting the tag "adult patients only" on a study might read "We excluded pediatric patients." | ||
+ | |||
+ | ===== Recommendation: | ||
+ | |||
+ | When tagging and data gathering, the PICO framework (Patients/ | ||
+ | |||
+ | === Patient Characteristics: | ||
+ | |||
+ | Patient characteristics can make up of age, gender, comorbidities, | ||
+ | |||
+ | * Age | ||
+ | * Sex | ||
+ | |||
+ | === Interventions (Therapies/ | ||
+ | |||
+ | * Treatment (e.g. Tocilizumab, | ||
+ | * Control arms (e.g. Placebo or Standard of Care) | ||
+ | * Adjunctive/ | ||
+ | * Dosages or other treatment details | ||
+ | |||
+ | === Outcomes: === | ||
+ | |||
+ | * Efficacy Outcomes (e.g. Mortality, Length of Hospital Stay) | ||
+ | * Safety outcomes | ||
+ | * Complications/ | ||
+ | |||
+ | === Study Design Information === | ||
+ | |||
+ | * Study Type (randomized controlled trial, retrospective cohort, etc) | ||
+ | * Inclusion and exclusion criteria (*only if relevant) | ||
+ | |||
+ | Nested Knowledge automatically gathers study metadata, which is bibliographic information about the included studies. Do not worry about creating tags for any of the following information: | ||
+ | |||
+ | * Title | ||
+ | * Authors | ||
+ | * Date | ||
+ | * URL | ||
+ | * DOI | ||
+ | * PubMed ID | ||
+ | |||
+ | ==== Where to find information in studies ==== | ||
+ | |||
+ | While tagging, where can you usually find the information within studies? See this figure to guide you! | ||
+ | {{: |