How Long Does A Systematic Review Take? | Time You Need

A systematic review usually takes 6–12 months end to end; rapid reviews run 2–12 weeks, while complex reviews can extend to 12–24 months.

Planning a systematic review means planning your calendar. Timelines stretch or shrink based on scope, team size, search volume, and how much synthesis you need. The steps are predictable, though: frame a question, register a protocol, search widely, screen records, extract data, appraise study quality, synthesize findings, and write. Add peer review, and you have the full arc. This guide lays out time ranges that real teams use, shows where delays hide, and offers ways to keep momentum without cutting standards.

How Long A Systematic Review Takes: By Stage

The table below maps each stage to common tasks and a realistic time range. Ranges assume a focused clinical or public health question, a trained librarian or search expert, two independent screeners, and standard software for screening and extraction. Solo projects or sprawling topics land on the longer end.

Stage What Happens Typical Time
Question & Scope Refine PICO, draft inclusion rules, set outcomes and subgroups 1–3 weeks
Protocol Write methods, plan search, set screening and analysis rules 2–4 weeks
Registration Register protocol and respond to minor clarifications 1–2 weeks
Search Design strings, run databases, grey literature, deduplicate 2–6 weeks
Screening Title/abstract and full-text decisions with dual review 3–8 weeks
Data Extraction Pilot forms, extract outcomes, contact authors if needed 3–6 weeks
Risk Of Bias Apply tools (e.g., RoB 2, ROBINS-I) with consensus 2–5 weeks
Synthesis Narrative summary; meta-analysis where fit; sensitivity runs 2–6 weeks
Write-Up Draft report, figures, flow diagram, tables, appendices 3–6 weeks
Submission & Peer Review Submit, revise, resubmit; timing varies by journal 8–20 weeks

What Drives The Timeline

Several levers add days or shave them. Tight, answerable questions move faster than open topics. A librarian cuts search time and improves recall. Dual screeners speed decisions and cut errors. A focused outcome set trims extraction time. Heterogeneous measures or mixed designs add effort during synthesis. Stakeholders who need subgroup answers or equity slices add layers. Living updates need steady bandwidth. Clear file naming, version control, and meeting rhythms keep drift in check.

Scope And Eligibility

Broad scope pulls in thousands of records, which slows screening and full-text retrieval. Narrow scope speeds things up but can miss useful signals. A crisp population, setting, comparator, and outcome list brings balance. Predefine time limits only when they serve the question, not to save time, or you risk bias. Pretesting inclusion rules on a small batch aligns the team and avoids rework.

Search Volume And Access

Multiple databases and grey sources boost coverage. They also create duplicates and diverse formats. Good deduplication pays off. Access barriers slow full-text retrieval; library services or interlibrary loan help. When contact with authors is needed, build slack time for replies and follow-ups.

Data Complexity

Simple outcomes and shared measures allow quick pooling. Diverse scales, cluster designs, or time-to-event data add conversions and assumptions. Harms, rare events, or network comparisons add layers. Plan sensitivity checks early so they do not become a scramble near submission.

Systematic, Scoping, And Rapid Reviews: Time At A Glance

A full systematic review aims for exhaustive, reproducible methods with dual decisions and full appraisal. A scoping review maps concepts, sources, and gaps, often without risk-of-bias ratings or meta-analysis. A rapid review streamlines steps to deliver answers faster, such as single screening with verification or narrower sources. For methods standards, the Cochrane Handbook lays out core processes; when speed is the driver, Cochrane’s updated rapid review guidance explains trade-offs and safeguards.

Time ranges differ by type. A typical scoping review lands near 3–9 months, depending on how much charting and stakeholder input you need. A rapid review can land in 2–12 weeks when scope is tight and methods are pre-templatized. Full systematic reviews often need 6–12 months, and large or mixed-method topics can push past a year.

Realistic Schedules You Can Plan Around

Use these scenarios to match your context. Each row assumes a focused question and access to core databases, with software for screening and extraction. Timelines reflect steady work with clear roles and regular check-ins.

Scenario Team & Scope Likely Duration
Graduate Thesis Solo lead, advisor checks; modest scope; part-time effort 9–18 months
Small Lab Team PI, librarian, 2 screeners; focused outcomes; meta-analysis likely 6–12 months
Program-Funded Review Project manager, librarian, 3–4 screeners, statistician 4–9 months
Rapid Review Tight question; streamlined steps; brief narrative synthesis 2–12 weeks
Scoping Review Broad mapping; charting only; no pooling 3–9 months
Living Review Core build plus periodic updates; automation where fit Build: 3–6 months; updates monthly or quarterly

Week-By-Week For A Six-Month Plan

Weeks 1–2: Nail The Question

Lock the population, intervention or exposure, comparator, and outcomes. Draft inclusion rules with clear edges. Set one channel for day-to-day decisions. Create a shared folder with templates for PRISMA flow, screening forms, and data fields.

Weeks 3–4: Protocol And Registration

Write methods, plan subgroup and sensitivity tests, and map databases. Pretest screening rules on a small set. Register the protocol. Decide on software for screening, extraction, and bias ratings. Assign roles and define tie-breaker steps.

Weeks 5–8: Search And Deduplicate

Run strings in major databases and subject portals. Export, clean, and deduplicate. Capture search dates and strategies for reporting. If grey sources matter, schedule time for targeted site searches and reference checks.

Weeks 9–14: Screen Titles, Abstracts, And Full Texts

Two reviewers screen in parallel with conflict resolution daily. Track reasons for exclusion at full text. Log contact attempts for missing data. Keep a pacing target per day so the pool does not balloon.

Weeks 15–18: Extract And Judge Bias

Pilot extraction on five studies and adjust fields. Extract outcomes, comparators, and key design details. Apply bias tools suited to your designs. Record justifications, not only labels, to make synthesis smoother.

Weeks 19–22: Synthesis And Figures

Start with a structured narrative. Add meta-analysis when designs and measures align. Build forest plots and tables. Run sensitivity checks that match protocol plans. Draft plain-language statements for each outcome.

Weeks 23–26: Write, Check, And Submit

Assemble main text, tables, appendices, and the flow diagram. Check reproducibility: search strings, dates, and decisions should be traceable. Select a journal that fits the scope and methods. Submit and prepare for a round of revisions.

Ways To Save Time Without Cutting Standards

Pair A Librarian With The Team

Search experts lift recall and trim trial-and-error. They also speed deduplication and documentation. One day of expert time can save weeks across the project.

Prebuild Templates

Ready-made screening forms, bias checklists, and extraction sheets shorten setup. Use short, unambiguous labels and fixed lists where fit. Pilot on a small batch to catch edge cases.

Screen In Parallel

Two reviewers working in parallel speed decisions and cut rework later. A third reviewer settles conflicts fast. Clear daily quotas keep the funnel moving.

Automate Repeatable Steps

Use deduplication features, reference managers, and screening tools that learn from decisions. Automation does not replace human checks, but it reduces clicks and keeps fatigue down.

Write As You Go

Maintain a living methods section and table shells from day one. Drop in search dates, counts, and decisions as they happen. By synthesis week, the report is half built.

Common Bottlenecks And Fixes

Scope Creep

New subquestions sneak in, and the record pool doubles. Fix this with a brief change log and a rule that the team approves any scope change. If a new angle matters, schedule it as a follow-on review.

Full-Text Chasing

Paywalls and missing PDFs stall progress. Set a standard window for retrieval and use library services early. Record which studies remain unavailable and note the impact on risk of bias and certainty ratings.

Data That Will Not Line Up

Outcomes appear on different scales or at different time points. Create a hierarchy of preferred measures before extraction. If pooling stays out of reach, keep the narrative clear and structured.

Slow Consensus

Endless back-and-forth drains time. Use short daily huddles for conflicts, with one decider on call. Log decisions to keep rulings consistent across screeners.

Reporting That Meets Editorial Standards

Editors and readers expect clean reporting of what you did and why. Follow a reporting checklist and include a flow diagram, full search strategies, and a clear summary of findings. Methods and results should match the protocol, and any change should be flagged with a short reason. The aim is clarity and reproducibility, not volume. When your review falls in health or public health, align with the methods in the Cochrane Handbook. When speed is required, apply safeguards from recognized rapid review guidance so readers can judge trade-offs.

Submission And Peer Review Time

Journal pathways vary. Some titles send first decisions in six to eight weeks; others take longer. A clean methods section, transparent tables, and data files shorten the revision cycle. Expect at least one round of changes, often two. Build a month or two for revisions into your plan, and keep your screening and extraction notes handy so you can answer queries fast.

What To Expect

A well-run systematic review with a focused question and a small, trained team often lands between six and twelve months. Shorter paths come from tight scope, strong search help, parallel screening, and clear forms. Longer paths come from broad topics, missing data, complex designs, and heavy subgroup work. With a plan that fits your setting, reliable documentation, and steady check-ins, the timeline becomes manageable and the output stays credible.