How Much Does a Systematic Review Cost? A Realistic Breakdown

The honest answer to "how much does a systematic review cost" is that it depends heavily on scope, and anyone offering a single fixed number without asking about your review first is skipping past the factors that actually drive cost. Here's what those factors are, and a realistic sense of where the money and time actually go.

The real cost driver: hours, not the review itself

A systematic review's cost, whether you're budgeting your own team's time or pricing outside support, is fundamentally a function of hours across several distinct stages, and those hours scale with a handful of specific factors.

**Number of databases searched and total records retrieved.** A narrow topic with a well-established literature might retrieve a few hundred records after deduplication. A broad or emerging topic can easily retrieve several thousand, and screening time scales roughly linearly with record count.

**Number of included studies.** More included studies means more full-text retrieval, more risk-of-bias assessments, more data extraction, and for a meta-analysis, more effect sizes to pool and check.

**Complexity of the synthesis.** A narrative synthesis of a manageable number of studies costs meaningfully less in statistical time than a network meta-analysis with dozens of treatment comparisons, or a review requiring extensive subgroup and sensitivity analysis.

**Number of reviewers and the independence requirements.** Genuine dual independent screening and extraction, the methodological standard, takes roughly twice the reviewer-hours of single-reviewer screening, though it's not a step worth cutting given how much it affects the review's credibility.

Where the hours typically go

Rough proportions, though these shift considerably by review type: protocol development and registration is usually a smaller share of total time but disproportionately important to get right early. Search strategy design and execution is front-loaded and information-specialist-intensive. Screening (title/abstract and full-text combined) is often the single largest time sink, particularly for broad topics with high initial record counts. Data extraction and risk-of-bias assessment together typically take a comparable amount of time to screening. Synthesis and statistical analysis varies enormously based on complexity, from a straightforward narrative synthesis to an extensive meta-analysis with multiple subgroup analyses. Manuscript writing and PRISMA compliance checking is the final stage, and its time cost depends partly on how well-documented everything upstream already is.

In-house versus outside support: what actually changes

Doing the work entirely in-house doesn't eliminate cost, it shifts it into researcher time that could otherwise go toward other work, and it requires your team to already have (or develop) expertise across search strategy design, statistical synthesis, and PRISMA-compliant reporting. Bringing in outside methodology consulting or editing support doesn't remove your team's ownership of the review; a legitimate consulting relationship advises, checks, and strengthens your work rather than producing it under someone else's name, and the cost reflects the specific stages where support is actually needed rather than the whole project by default.

Getting a realistic estimate for your own review

Because cost scales with scope, not review type alone, a meaningful estimate requires knowing your rough topic breadth, expected included-study count, and whether a meta-analysis is planned, not just "I need a systematic review." Any estimate given before those specifics are discussed is a guess, not a quote.

**[Get a quote](/get-a-quote)** with your specific scope, and we'll give you a realistic estimate based on what your review actually requires.