Covidence updates www.covidence.org

New

📢 Exciting News! 📢 We're thrilled to announce the release of our latest eBook: 'A Practical Guide: Data Extraction for Intervention Systematic Reviews'! 🚀

Tailored for Intervention Systematic Review researchers and shaped by insights from the global systematic review community, this tool-agnostic guide is a must-have for both seasoned researchers and those just starting out.

🔍 Explore essential techniques and gain valuable knowledge to enhance your data extraction process. Make this guide a vital addition to your toolkit!

👉 Download your FREE copy now: https://www.covidence.org/resource/data-extraction-for-intervention-systematic-reviews/

Happy extracting! 📖✨

New

In Extraction 1, you can now add multiple intervention groups to a study while maintaining a link to template-defined interventions. This feature helps accurately capture data when a study reports multiple groups per intervention.

You can find more information in this knowledge base article.

Improvement

You can now easily customise PDF panels and extraction forms in Extraction 1 for streamlined extraction on any screen size!

We’ve added more flexibility and customisation. Simply drag the divider to resize data extraction and quality assessment forms, providing a tailored display for easier data extraction.

Improvement

We’ve changed the way viewing full-text PDFs works in Extraction 1 quality assessment. The PDF viewer is now consistent with data extraction, allowing you to zoom in/out, rotate and search for text within the document, enhancing the experience of reading a study’s full-text.

Additionally, you can still annotate content from the full-text PDF during quality assessment. To do so, simply select the text you wish to annotate, and an "Add annotation" option will appear above the selected text. You'll be asked to specify the relevant domain for linking the annotation and can optionally include comments:

New

When extracting data from a study, you can now add a group name to accurately report how the intervention or comparator group was described in the study. Group names captured against studies will be linked to interventions defined on the template and will be included in exports.

When uploading data into RevMan, there will be no need to fill in the “Interventions” column which was previously left blank, saving you time when uploading your data.

New

We’re excited to announce a new feature that can significantly reduce the time spent manually screening references.

For teams exclusively interested in randomized controlled trials (RCTs), our new feature allows you to effortlessly remove references that do not report on RCTs before initiating the manual screening process:

With this feature, you maintain complete control, as you can review all the automatically excluded references, move specific ones back to manual screening, and deactivate the feature whenever you choose.

This innovation is powered by The Cochrane RCT Classifier (10.1016/j.jclinepi.2020.11.003), renowned for its exceptional performance in identifying possible RCTs (achieving a 99.5% recall rate) while efficiently excluding up to 45% of references in reviews!

The feature is currently available in early access and can be enabled for medical and health science reviews when creating a new review or editing the settings of an existing one.

New

Interventions and comparators you intend to extract data on across studies, are defined on the template for consistent data collection. Now you can:

• Select which interventions were included in the study, for more accurate reporting
• Ensure that only interventions included in the study will appear on the extraction form and in the exports.

You can learn more here.

Covidence has two versions of data extraction: Extraction 1 and Extraction 2 (learn more here). Extraction 1 has been designed specifically for intervention reviews, although other review types may benefit from the structured PICO sections and ability to import into RevMan Web.

Improvement

Now, all pages on the study extraction form have an auto-save feature with a clear indicator in the header. This eliminates confusion about whether you need to manually save or not.

In the past, Extraction 1 had inconsistent behavior, where some pages saved data automatically while others required you to click "Save".

New

We’re excited to announce a new Extraction 1 template! The new template allows for easy creation, piloting, and updating of data extraction and quality assessment templates. Updates made to the data extraction and quality assessment template will be applied to all studies to ensure consistent data collection across studies.

The template has been designed specifically for intervention reviews, however other types of reviews can benefit from many of the fields and sections.

For reviews that haven’t started extraction you’ll be able to use the new template in Extraction 1! Alternatively you can take a look by using the demo review found on “Your reviews” page.

Covidence has two versions of data extraction: Extraction 1 and Extraction 2 (learn more here).

New

Improvement

Covidence’s eligibility criteria feature now supports the PICOS framework!

Using PICOS (Population, Intervention, Comparison, Outcomes, and Study Characteristics) helps to make sure you don’t miss any relevant studies, and saves you time by reducing voting conflicts.

With this feature you can:

• Structure your criteria by PICOS
• View your criteria while screening
• Ensure your team is referencing the current protocol

Go to your Review settings, then click Eligibility criteria to get set up, and click Criteria on your screening page to view at any time. Head here to learn more.

Interested in testing out using PICOS to semi-automate screening in Covidence? Get in touch.