The systematic review is the most procedural chapter you will ever write, and that is the good news. Unlike a discussion chapter, it has a defined output, a published reporting standard and a diagram that either adds up or does not. What sinks postgraduate reviews is almost never the writing — it is a question that cannot be searched, a search that was never recorded, or numbers in the flow diagram that do not reconcile at 11pm the night before submission.
This is the procedure in order. Each step states what you should have in hand before moving on. Every institution’s requirements differ, so check your programme handbook against this and follow the handbook where they disagree.
Step 1: Decide whether you are writing a systematic review at all
Confirm which of three things your dissertation actually requires, because they have different standards and different workloads.
- A full systematic review as the dissertation. Common on public health masters programmes where primary data collection is impractical in the time available. PRISMA applies in full.
- A systematic review chapter within an empirical dissertation. Shorter, still PRISMA-reported, positioned to justify the primary study that follows.
- A narrative or scoping review. Different reporting standard entirely — a scoping review reports to PRISMA-ScR, and a narrative review is not held to PRISMA at all.
Expected output: a one-line statement of review type, agreed with your supervisor in writing.
Step 2: Build a question that can actually be searched
Reviews fail here more than anywhere else. “The effect of physical activity interventions on health” is not a review question; it is a research field. A searchable question specifies each element tightly enough that the database returns a number you can screen in the time you have.
Use a structured framework. PICO suits intervention questions; SPIDER handles qualitative evidence better; PEO works for exposure questions common in public health.
Worked example. Take a vague starting point — “does exercise help older people’s mental health?” — and force it through PICO:
- Population: community-dwelling adults aged 65 and over, without a diagnosis of dementia
- Intervention: structured group exercise programmes of at least eight weeks’ duration
- Comparator: usual activity or waiting-list control
- Outcome: depressive symptoms measured on a validated scale
That yields a stated question: In community-dwelling adults aged 65 and over, do structured group exercise programmes of at least eight weeks reduce depressive symptoms compared with usual activity? Every one of those qualifiers becomes an inclusion criterion, and every inclusion criterion becomes a screening decision you can defend.
Expected output: one question in a single sentence, plus a PICO or PEO table.
Step 3: Write the inclusion and exclusion criteria before you search
Write them now, while you have no attachment to any particular paper. Criteria written after you have seen the results are criteria bent to fit the results, and examiners recognise the pattern.
Cover, at minimum: study designs eligible, population limits, intervention and comparator definitions, outcome measures accepted, date range with a justification for the start date, language restrictions with an honest acknowledgement of the bias they introduce, and publication status — whether you include grey literature, preprints, theses and conference abstracts.
Expected output: a criteria table with a stated rationale for each restriction.
Step 4: Register the protocol
Register on PROSPERO before screening begins. Registration is free, takes an afternoon once your criteria are written, and does three useful things: it timestamps your criteria, it tells you whether someone is already running your review, and it makes the eventual paper substantially more publishable.
If your programme does not require registration, write the protocol anyway and date it. The protocol is where you commit to your analysis plan, which protects you against the accusation that you chose your synthesis method after seeing which studies you had.
Expected output: a PROSPERO registration number, or a dated protocol document lodged with your supervisor.
Step 5: Build and record the search strategy
Search at least three databases. For public health that typically means MEDLINE, Embase and CINAHL, often with PsycINFO for mental health outcomes, Scopus or Web of Science for breadth, and the Cochrane Library for trials. Ask your subject librarian to review the strategy — this is the single highest-return hour available to you, and most university libraries offer it.
Each concept gets a block combining controlled vocabulary with free-text terms, and the blocks are combined with AND. A recorded MEDLINE strategy looks like this:
- exp Exercise/ OR exp “Physical Activity”/
- (exercis* OR “physical activit*” OR “resistance train*”).ti,ab.
- 1 OR 2
- exp Aged/
- (“older adult*” OR elderly OR “aged 65”).ti,ab.
- 4 OR 5
- exp Depression/
- (depress* OR “low mood”).ti,ab.
- 7 OR 8
- 3 AND 6 AND 9
Record the exact string, the database and interface, the date you ran it, and the number of records returned. You will need all four in your methods section, and you will need to rerun the search shortly before submission to catch new publications. Reference management discipline matters here more than anywhere else in the dissertation; if you have not settled on a tool, the comparison of Zotero, Mendeley and EndNote covers which survives a large review library.
Expected output: a search log table with one row per database, reproducible by a stranger.
Step 6: Screen in two stages, and count everything
Deduplicate first, in your reference manager, and record how many duplicates were removed. Then screen titles and abstracts against your criteria, then screen full texts.
Have a second reviewer independently screen a proportion — 10 to 20 per cent is a common expectation at masters level — and report the agreement. A supervisor or fellow student can do this. Record disagreements and how they were resolved.
The rule that saves the flow diagram: every full text you exclude needs a recorded reason, and the reasons must be categorised. “Not relevant” is not a reason. “Wrong population”, “wrong comparator”, “no eligible outcome measure”, “conference abstract only” are reasons, and they are what the exclusion box in the diagram reports.
Expected output: a screening spreadsheet where the numbers reconcile at every stage.
Step 7: Draw the PRISMA flow diagram so it adds up
The diagram is arithmetic, and examiners check it. Work through the chain: records identified through database searching, plus records identified through other sources such as citation chasing, minus duplicates removed, equals records screened. Records screened minus records excluded at title and abstract equals full texts assessed for eligibility. Full texts assessed minus full texts excluded, with reasons broken down by category, equals studies included in the synthesis.
A worked chain: 2,847 records from four databases plus 18 from reference lists, giving 2,865. Removing 912 duplicates leaves 1,953 screened. Excluding 1,847 at title and abstract leaves 106 full texts assessed. Excluding 89 with reasons — 34 wrong population, 28 wrong intervention, 15 no eligible outcome, 12 not primary research — leaves 17 studies included.
Every number in that paragraph must match your spreadsheet and your diagram. Build the diagram from the spreadsheet, never from memory.
Expected output: a flow diagram that reconciles line by line.
Step 8: Appraise quality with a tool that fits the designs
Choose the appraisal tool by study design, and justify the choice. Randomised trials call for the Cochrane risk-of-bias approach. Observational studies commonly use the Newcastle-Ottawa Scale. Mixed-design reviews often use the Mixed Methods Appraisal Tool, and JBI and CASP checklists are widely accepted on taught programmes.
Two things distinguish a strong appraisal from a weak one. First, appraisal must have consequences — if you rate four studies at high risk of bias and then treat all seventeen identically in the synthesis, the appraisal was decorative. Say explicitly how quality shaped your conclusions, ideally through a sensitivity analysis. Second, report appraisal per domain rather than as a single score, because a study can be strong on measurement and weak on confounding, and that distinction matters to your reader.
Expected output: an appraisal table by study and domain, plus a paragraph on how quality affected interpretation.
Step 9: Synthesise, and be honest about whether you can pool
Meta-analysis is not the default and is not the goal. Pool only when studies are similar enough in population, intervention, comparator and outcome measure that a summary estimate means something. Combining a twelve-week resistance programme with a two-year walking scheme produces a number, not a finding.
Where pooling is inappropriate, conduct a structured narrative synthesis — group studies by intervention type or outcome, tabulate direction and magnitude of effects, and explain heterogeneity rather than averaging it away. This is a legitimate and common outcome for masters reviews. If you do pool, the analysis is usually straightforward in R or Stata; the comparison of statistical software for postgraduate research covers which handles meta-analysis packages most easily.
Sample size across the included studies is worth commenting on directly — a review of seventeen underpowered trials tells you something different from a review of three large ones, and sample size conventions in postgraduate health research gives you the benchmarks to make that judgement.
Expected output: a synthesis section with a stated method and a characteristics-of-included-studies table.
Step 10: Write the chapter in the order examiners read it
The chapter follows the PRISMA reporting sections: rationale and objectives, then methods covering eligibility criteria, information sources, search strategy, selection process, data collection, quality assessment and synthesis method, then results opening with study selection and the flow diagram, then characteristics of included studies, then quality appraisal findings, then synthesis, then a limitations section.
A worked opening for the methods section, which you can adapt:
This review was conducted in accordance with the PRISMA 2020 statement and registered prospectively on PROSPERO (CRD42026XXXXXX). MEDLINE, Embase, CINAHL and PsycINFO were searched from January 2010 to March 2026, the start date reflecting the publication of the first national guidance on this intervention. Search terms combined controlled vocabulary and free-text terms across three concept blocks, and the full MEDLINE strategy is reproduced in Appendix A. Titles and abstracts were screened against pre-specified criteria by the author, with 20 per cent independently screened by a second reviewer; disagreements were resolved by discussion.
Write limitations as analytic judgements, not apologies. “English-language restriction may have excluded relevant evidence from non-Anglophone health systems, which is a material limitation for an intervention delivered largely in community settings” is a doctoral-level limitation. “I only had a few months” is not. The same principle governs writing limitations in a discussion chapter.
Expected output: a complete chapter, with the search appendix attached.
Keep the review reproducible while you write it
A systematic review generates more moving parts than any other chapter — search logs, screening decisions, appraisal ratings, extraction tables — and they all have to still agree with each other months later when you write the methods section. Tesify keeps your sources, extraction notes and drafts in one workspace so the chapter you write is anchored to the records you actually screened, and the numbers you cite are the numbers you have.
Start your systematic review chapter with Tesify
Frequently asked questions
How many studies should a masters systematic review include?
There is no target number — the answer is however many meet your criteria. Reviews including fewer than five studies are publishable if the question is important and the search was thorough. A review returning eighty included studies usually signals a question that was too broad for the time available.
Can you do a systematic review on your own?
For a dissertation, yes, provided you report it honestly. Best practice requires dual independent screening; masters programmes typically accept a single reviewer with a proportion double-screened by a supervisor or peer. State exactly what was done and treat single screening as a limitation.
Do you need PROSPERO registration for a dissertation review?
Not usually required by programmes, but strongly advisable. PROSPERO accepts student reviews with supervisor details. Registration timestamps your criteria and materially improves the chances of publishing the review afterwards.
What is the difference between PRISMA 2009 and PRISMA 2020?
PRISMA 2020 replaced the 2009 statement and expanded the checklist, with more detail required on search strategies, automation tools, and reporting of bias assessment. It also revised the flow diagram, including a version for reviews updating a previous review. Report to PRISMA 2020 and cite it.
Should you include grey literature in a public health review?
Often yes, because public health interventions are frequently evaluated in government and NGO reports that never reach journals. Excluding grey literature risks publication bias. If you exclude it, say so and name the bias; if you include it, specify which sources you searched.
What do you do if your search returns 20,000 records?
Narrow the question rather than the search quality. Tighten the population, restrict to specific study designs, or limit to a defensible date range with a stated rationale. Do not simply screen the first few hundred records — that is not a systematic review and examiners will identify it.
Can you use AI tools to screen studies?
Screening-assistance tools are increasingly accepted, but PRISMA 2020 requires you to report any automation used, and you remain responsible for every inclusion decision. Check your institution’s academic integrity policy before using any tool, and never present machine decisions as independent human screening.
How long does a masters systematic review take?
Plan on the search and screening consuming considerably more calendar time than the writing. Protocol and search development typically take several weeks, screening several more, and the rerun before submission needs its own slot. Reviews run late because screening is estimated as if it were reading.
Does a narrative synthesis count as a weaker result?
No. Choosing narrative synthesis because heterogeneity makes pooling invalid is a methodological judgement in your favour. Forcing a meta-analysis on incomparable studies is the weaker outcome, and a well-briefed examiner will say so.

