Budgeting for a Systematic Review: A Realistic Breakdown

Budgeting for a systematic review as a single undifferentiated total obscures where the real cost actually concentrates, and understanding this stage by stage helps both individual researchers planning their own time and institutions or funders assessing a proposed review's realistic resource needs.

Why screening volume drives cost more than any other factor

Screening, particularly title and abstract screening across potentially thousands of records, is typically the most labor-intensive single stage by raw hours, and its cost scales directly and predictably with how many records your search returns. A broad topic returning tens of thousands of initial records before deduplication carries a fundamentally different cost profile than a narrow, well-defined question returning a few hundred.

Estimating screening cost realistically

A reasonable planning estimate treats title and abstract screening at a rate of roughly one to two minutes per record per reviewer, doubled for dual independent screening, meaning a search returning 3,000 records after deduplication might realistically require 100 to 200 combined reviewer hours at just this one stage, before full-text screening or any subsequent stage even begins.

Information specialist or search strategy costs

If you're engaging a medical librarian or information specialist, whether through institutional access or paid consulting, budget realistically for the time genuinely comprehensive multi-database search strategy development requires, commonly a meaningful number of hours per database given how much iterative refinement a well-built search string typically needs before it's ready to run.

Extraction and appraisal costs

Data extraction and risk-of-bias assessment costs scale with your final included study count rather than your initial record volume, but still represent a substantial per-study time investment, particularly with double extraction, which most rigorous reviews should include given how much more reliable dual independent extraction is than single-reviewer extraction alone.

Statistical consulting costs

If your review includes meta-analysis, budgeting for genuine statistical expertise, whether an in-house team member or external consultant, from the protocol stage rather than only once data is ready to pool prevents a costly late-stage realization that your extracted data doesn't actually support the planned analysis approach.

Software and tooling costs

Dedicated systematic review software, discussed in more detail elsewhere in terms of specific platform choice, ranges from free options suitable for smaller projects to institutional licenses running into meaningful annual costs for larger-scale or repeated review programs. Factor this into your budget explicitly rather than assuming free tools will suffice regardless of your project's actual scale and complexity.

Manuscript preparation and editing costs

Professional editing support, particularly methodology-aware editing checking PRISMA compliance and internal consistency rather than simple copyediting, represents a genuine cost worth budgeting for explicitly, especially for teams without an experienced manuscript-preparation lead already on the project.

Publication costs

Open access article processing charges, increasingly required or preferred by funders, can represent a substantial cost at the very end of a project, and checking your target journal's specific fee structure and whether your funder covers this cost is worth doing early, rather than discovering a significant unbudgeted expense only once your manuscript is ready for submission.

A realistic total picture for planning purposes

For a moderate-scope systematic review with meta-analysis, conducted by a small academic team with some institutional support, total realistic resource investment across all stages, measured in either paid consulting costs or unpaid researcher time, is often considerably higher than first-time systematic reviewers initially estimate, largely because screening volume and dual-reviewer requirements are so frequently underestimated at the planning stage.

A practical budgeting habit

Building your budget stage by stage, using your realistic estimated record and included-study counts rather than a single guessed lump sum, and revisiting this estimate once your actual search results come in during the search stage, gives a far more accurate and defensible resource plan than an initial guess made before you have any concrete sense of your topic's actual literature volume.

Budgeting for the unexpected

Even careful upfront estimation regularly encounters genuine surprises -- a search returning far more records than anticipated, an unusually high proportion of full texts requiring translation, or a statistical consultant needing more time than initially planned once actual extracted data reveals unexpected complexity. Building a reasonable contingency margin, commonly an additional 15 to 20 percent beyond your initial stage-by-stage estimate, into your overall resource plan is a realistic safeguard against these genuinely common, hard-to-fully-predict surprises.

Grant applications and systematic review budgeting

For systematic reviews conducted under formal grant funding, presenting a detailed, stage-by-stage budget justification, rather than a single lump-sum request, both strengthens your funding application's credibility with reviewers familiar with genuine systematic review costs and gives you a clearer internal benchmark for tracking whether your actual project spending is tracking against your original realistic plan as the review proceeds. This kind of transparent, stage-by-stage financial accounting also builds valuable institutional knowledge for planning your team's next systematic review project more accurately than this one was initially planned. Over successive projects, this accumulated budgeting experience becomes a genuinely valuable institutional asset, letting a team or organization plan future systematic review work with steadily improving accuracy rather than repeating the same initial underestimation each time. This kind of accumulated organizational learning, documented and shared across successive projects rather than relearned independently each time, is a genuinely valuable, often underappreciated institutional asset worth deliberately cultivating. Teams and institutions that treat systematic review budgeting as a skill to develop deliberately over time, rather than reinventing their planning approach from scratch on every new project, consistently produce more accurate and more defensible resource plans. This kind of deliberate, cumulative organizational learning is what ultimately separates teams that conduct systematic reviews occasionally from those that build genuine, lasting institutional expertise in this demanding methodology, one that compounds meaningfully in value with every additional systematic review a team completes, until realistic, well-calibrated planning becomes simply the normal, expected way that team approaches every single new project it takes on, year after year, project after project, across every team member who joins the effort along the way, from the earliest planning meeting through final submission.