Tags in EasySLR now offer a powerful and flexible workflow to categorise, annotate, and organise studies throughout the systematic review process. This tagging workflow supports efficient filtering, structured analysis, and seamless collaboration across both individual and team-based reviews.

Why Use Tags

Tags allow reviewers to label articles based on key attributes, making it easy to group, filter, and analyse studies without repeatedly searching through large datasets. They are designed to work consistently across screening stages while maintaining reviewer independence.

Common Tag Use Cases

• Study Type: cost-effectiveness, burden of illness, quality of life, clinical trial, real-world evidence

• Geography: U.S., EU5, Asia-Pacific, global

• Model Type: Markov model, decision tree, discrete event simulation

• Population Subgroup: elderly, pediatric, comorbidities, high-risk, post-surgery

• Funding/Source: industry-sponsored, government-funded, independent

• Methodology: double-blind, open-label, meta-analysis

Blinded Tags Between Reviewers

To prevent bias during screening, tags are blinded between reviewers:

• Tags applied by one reviewer are not visible to other reviewers during screening.

• After all reviews for an article are completed (including conflict resolution), the final tags for that stage are created as the union of all tags selected by different reviewers.

Tags in Quality Control (QC)

• During QC, tags selected by all reviewers are pre-selected by default.

• The QC reviewer can add or remove tags as needed.

• Once QC is completed, the tags finalised at QC become the final tags for that stage, replacing earlier selections.

Tag Visibility Across Screening Stages

• Tags are stored separately for each stage