Complete Guide

How to Do a Systematic Review

A step-by-step guide to conducting a rigorous systematic literature review, from formulating your question to publishing your findings.

What Is a Systematic Review?

A systematic review is a structured, transparent method of identifying, evaluating, and synthesizing all available research on a specific question. Unlike a traditional literature review, a systematic review follows a pre-defined protocol to minimize bias and ensure reproducibility.

📋

Protocol-Driven

Methods are defined before the review begins

🔍

Comprehensive Search

Multiple databases searched systematically

📊

Transparent Reporting

Every decision is documented and reproducible

1

Define Your Research Question

Every systematic review starts with a clear, focused research question. The most effective way to structure this is the PICO framework:

P
Population

Who are you studying?

I
Intervention

What treatment/exposure?

C
Comparison

Against what?

O
Outcome

What are you measuring?

Example: "In adults with type 2 diabetes (P), does metformin (I) compared to lifestyle changes alone (C) reduce HbA1c levels (O)?"

📖 Read our detailed PICO Framework guide →

2

Write a Protocol

Before you start searching, document your methodology in a review protocol. This prevents cherry-picking results and increases credibility.

Your protocol should include:

  • Research question (PICO)
  • Inclusion and exclusion criteria
  • Databases to search (PubMed, Scopus, Web of Science, etc.)
  • Search strategy with keywords and Boolean operators
  • Screening process (single vs. dual screening)
  • Data extraction plan
  • Quality assessment method

💡 Tip: Register your protocol on PROSPERO (for health reviews) or OSF before starting. This adds credibility and prevents duplication.

3

Search the Literature

Search at least 2–3 databases to ensure comprehensive coverage. Common choices include PubMed, Scopus, Web of Science, and Embase.

Search Strategy Tips

  • • Use Boolean operators (AND, OR, NOT)
  • • Include MeSH terms and free-text keywords
  • • Use truncation (e.g., "therap*" for therapy, therapies)
  • • Apply date and language filters only when justified
  • • Save your search history for reproducibility

⚡ Speed Up with Lumina

Lumina lets you search PubMed, Semantic Scholar, OpenAlex, arXiv, and Europe PMC simultaneously — and import results directly into your project.

Start your 14-day trial →
4

Screen Titles & Abstracts

This is typically the most time-consuming step. You'll review each paper's title and abstract against your inclusion criteria and decide whether to include, exclude, or mark it as maybe.

Best Practices

  • Be liberal at this stage — when in doubt, include
  • ✅ Use dual screening with at least two independent reviewers
  • ✅ Calculate inter-rater reliability (e.g., Cohen's kappa)
  • ✅ Document reasons for exclusion

📖 Read our detailed Title & Abstract Screening guide →

5

Full-Text Review

Obtain and read the full text of each paper that passed the title/abstract screen. Apply your inclusion and exclusion criteria more rigorously at this stage.

Key actions: Record specific reasons for each exclusion (you'll need these for your PRISMA flow diagram). Track how many papers were excluded at this stage and why.

6

Extract Data

Create a standardized data extraction form to collect key information from each included study. This typically includes:

Study Characteristics

  • • Authors, year, country
  • • Study design (RCT, cohort, etc.)
  • • Sample size and demographics

Results Data

  • • Primary outcomes and effect sizes
  • • Secondary outcomes
  • • Confidence intervals and p-values
7

Assess Quality & Risk of Bias

Evaluate the methodological quality and risk of bias in each included study using validated tools:

Tool Best For
Cochrane RoB 2 Randomized controlled trials (RCTs)
Newcastle-Ottawa Scale Observational studies (cohort, case-control)
ROBINS-I Non-randomized interventional studies
AMSTAR 2 Systematic reviews of systematic reviews
8

Synthesize & Report

Combine your findings into a coherent narrative or statistical synthesis (meta-analysis). Follow the PRISMA 2020 guidelines for transparent reporting.

Narrative Synthesis

When studies are too heterogeneous for pooling. Organize by theme, population, or outcome.

Meta-Analysis

When studies are similar enough to combine statistically. Calculate pooled effect sizes with forest plots.

📊 Need a PRISMA diagram? Use our free PRISMA flow diagram generator to create a publication-ready diagram in seconds.

Ready to Start Your Systematic Review?

Lumina automates the most time-consuming part — screening. AI ranks papers by relevance so you find what matters faster.