Learn the key steps, tools, and standards — PRISMA 2020, GRADE, and risk of bias — and how Verflux automates every stage.
A systematic review is a structured, reproducible synthesis of all available evidence on a defined research question. Unlike narrative reviews — which are selective and subjective — systematic reviews follow a pre-registered protocol, search comprehensively across multiple databases, and apply transparent inclusion criteria.
They are considered the highest level of evidence in the evidence hierarchy. When combined with meta-analysis, they provide a pooled quantitative estimate of effect size with associated uncertainty.
1. Define your PICO question. Population, Intervention, Comparison, and Outcome. This shapes your search strategy, inclusion criteria, and the outcomes you extract.
2. Register your protocol. Pre-registration on PROSPERO prevents publication bias and outcome-switching.
3. Search comprehensively. A minimum of two databases is standard. For high-quality reviews, nine or more are recommended — Verflux searches all nine simultaneously.
4. Screen titles and abstracts. Dual independent review with a third reviewer for conflicts. Cohen's kappa measures agreement.
5. Full-text assessment. Studies passing initial screening are retrieved in full and assessed against eligibility criteria.
6. Data extraction. Arm-level data — sample sizes, means, standard deviations, events — extracted independently by two reviewers.
7. Risk of bias assessment. Using validated tools: RoB 2 (RCTs), ROBINS-I (non-randomised), QUADAS-2 (diagnostic), NOS (observational).
8. Meta-analysis. Pooling effect estimates with random-effects or fixed-effect models. Heterogeneity quantified with I² and τ².
9. GRADE assessment. Certainty of evidence rated across five downgrade domains and three upgrade domains.
10. Reporting. PRISMA 2020 flow diagram and 27-item checklist required for journal submission.
Traditional systematic reviews require five to eight separate tools. Verflux handles every step — from 9-database search to publication-ready forest plots — in a single browser tab. No R. No Python. No installation.
All analytical features included in the free trial. No credit card, no installation, no R or Python.
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