Risk of Bias Assessment Support
Risk-of-bias assessment support using study-design-appropriate tools such as RoB 2, ROBINS-I, and JBI instruments.
Risk-of-bias assessment evaluates how study design and conduct may distort the findings; it is not the same as scoring whether a paper is generally 'good.' Tezyar helps select a tool appropriate to the included designs, apply signalling questions consistently, document judgments, and connect bias assessments to the evidence synthesis.
Choose a Design-Appropriate Tool
Randomized trials, non-randomized intervention studies, diagnostic studies, and observational designs have different bias structures and should not be forced into one generic checklist.
Use Domain-Level Judgments
Modern tools often evaluate specific bias domains before an overall judgment. The reasoning behind each judgment should be documented rather than reduced to an unexplained score.
Consistency Across Reviewers
Calibration exercises and explicit decision rules can improve consistency when multiple reviewers assess the same studies independently.
Use Bias Judgments in Synthesis
Risk-of-bias results should inform interpretation, sensitivity analyses, certainty assessment, and discussion of limitations.
Frequently Asked Questions
Which risk-of-bias tool should I use?
It depends on the included study designs and review question. The tool should be chosen before judgments are made.
Can I convert every tool into a numeric quality score?
Usually that loses important domain-level information; follow the guidance of the specific assessment tool.
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PROSPERO protocol support for eligible systematic reviews: review question, eligibility, outcomes, search approach, bias assessment, and synthesis plan.
Network meta-analysis support for multi-treatment evidence networks, assumptions, modelling, inconsistency assessment, ranking, and reporting.
