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wiki:autolit:extraction:configure [2023/03/13 20:47] jthurnham [1. View the Data Elements Menu] |
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- | ====== Configure Intervention and Data Elements ====== | ||
- | In order to Extract, you first need to Configure Interventions and Data Elements, which you do from the Configure Study Tags page in order to reuse the structure you built during the Tagging stage. | ||
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- | **Interventions** correspond to the types of therapies/ | ||
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- | **//Note:// ** Only one hierarchy can be designated as your Intervention hierarchy, but any node in your hierarchy can be configured as a Data Element. There is no requirement, | ||
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- | ==== Where does Extraction Configuration take place? ==== | ||
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- | {{ : | ||
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- | Extraction can be configured " | ||
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- | Extraction configuration is integrated into tagging configuration in order to use your existing hierarchy to structure your Interventions and Data Elements. | ||
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- | ===== Configuring Interventions ===== | ||
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- | ==== 1. Open the Extraction Configuration panel ==== | ||
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- | If it isn't already, expand the " | ||
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- | {{ : | ||
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- | ==== 2. Toggle to Interventions ==== | ||
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- | {{ : | ||
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- | ---- | ||
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- | ==== 3. Click on the " | ||
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- | The Intervention list on the right corresponds to all of the tags underneath the " | ||
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- | {{ : | ||
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- | **// | ||
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- | {{ : | ||
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- | **//This is important to note because if you accidentally leave the incorrect hierarchy as the Interventions and then you go to extract, these incorrect Interventions options (for instance, " | ||
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- | {{ : | ||
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- | **// | ||
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- | ---- | ||
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- | ===== Configuring Data Elements ===== | ||
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- | ==== 1. View the Data Elements Menu ==== | ||
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- | Navigate to the Data Elements Menu and click "Data Elements" | ||
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- | {{ : | ||
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- | **//The data elements tab will show you a list of all tags, which you can select either in the list or by clicking on the tag node.//** | ||
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- | ---- | ||
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- | ==== 2. Turn tag into Data Element ==== | ||
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- | Click the plus sign next to a tag to turn the tag into a Data Element | ||
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- | {{: | ||
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- | ---- | ||
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- | ==== 3. Select the Data Type ==== | ||
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- | Continuous, Dichotomous, | ||
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- | {{: | ||
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- | **// | ||
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- | ---- | ||
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- | ==== 4. Select the Expected Timepoint ==== | ||
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- | Baseline or Outcome - Choose the Expected Timepoint based on whether the data was collected at Baseline or as an Outcome (Mandatory) | ||
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- | {{: | ||
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- | **//If the data element can be both a Baseline and an Outcome, choose Baseline.// ** | ||
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- | ---- | ||
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- | ==== 5. Select the Direction ==== | ||
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- | Higher Better or Lower Better (if applicable) - For example, the Data Element is " | ||
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- | {{: | ||
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- | ---- | ||
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- | ==== 6. Add the Measurement Units ==== | ||
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- | Example: Mintues, mL, kg (if applicable) | ||
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- | {{: | ||
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- | ---- | ||
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- | === 7. Add the Central Tendency Measurement === | ||
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- | Mean or Median (Mandatory for continuous variables) - After choosing Mean or Median, it will also ask you about " | ||
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- | {{: | ||
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- | ---- | ||
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- | ==== 8. Click Save ==== | ||
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- | Confirm that the configuration worked based on whether the node turned gold, and move on to configure any other Data Elements of interest | ||
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- | ===== How many Data Elements should you create? ===== | ||
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- | When configuring your Data Elements, it is vital to recognize that **every Data Element you configure must be**: | ||
- | - collected as a metric across all studies, adding time to your project, and | ||
- | - presented on Synthesis, potentially confusing readers as to which Data Elements are vital to your review/ | ||
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- | It is also important to understand that, unlike with primary studies, multivariate comparisons are limited in meta-analytical research by the aggregated nature of the data. Thus, all Data Elements should be of direct interest to compare among Interventions of interest. | ||
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- | There is no exactly ' | ||
- | '' | ||
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- | Therefore, the following **suggested guidelines** may help estimate the appropriate number of Data Elements and project timelines: | ||
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- | * **1-3 Data Elements:** <5 min per study, highly focused Synthesis. May provide too little context for key outcomes, but optimizes project timelines & ease of quality control. | ||
- | * **4-7 Data Elements:** 5-10 min per study, focused Synthesis. Likely represents the primary & secondary outcomes of interest, as well as high-value background data. | ||
- | * **8-10 Data Elements:** 10-20 min per study, detailed Synthesis. Likely represents all primary & secondary outcomes of interest, subsidiary endpoints, and any background data of interest. Data sparsity may be a problem. **Recommended that you keep your review to this size or smaller!** | ||
- | * **10-20 Data Elements:** Up to an hour per study, intensively detailed Synthesis. Likely represents most data elements reported in underlying studies; may represent an unfocused research question. Should be reserved only for extensive reviews where the endpoints of interest are undefined, or review types that require going beyond conventional methods. | ||
- | * **20+ Data Elements:** Several hours per study, potentially overwhelming Synthesis. Can introduce not only data sparsity but collection quality concerns. May reflect an unfocused research question or unconventional review type. Recommended that such reviews be split into smaller pieces if they must be undertaken. | ||
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- | These are suggestions only, but can have major impact on the quality, focus, and timeliness of projects. If you have any questions on this guidance, feel free to [[https:// |