Make evidence quality visible, not decorative.
Connect study-level risk-of-bias judgments with outcome-level certainty assessment so methodological limitations remain part of the interpretation.
Use the quality framework that fits the evidence.
Risk-of-bias assessment should follow the study design and review question rather than a one-size-fits-all checklist.
ROB 2
Domain-based assessment for randomized intervention studies.
QUADAS-2
Diagnostic accuracy domains for patient selection, test interpretation, reference standard and flow/timing.
Observational evidence
Project-specific support for non-randomized and exposure/etiology evidence workflows.
Keep GRADE tied to the result being interpreted.
Certainty is an outcome-level judgment. Record the rationale for downgrading or upgrading decisions rather than attaching a generic confidence label to the whole review.
Bring your review into one connected workspace.
Start with citation screening and keep evidence, reviewer decisions, datasets and analysis connected from beginning to end.