How Should A Medical Literature Review Look? | Clear, Credible, Ready

A medical literature review should state a sharp question, use transparent methods, and present a balanced, scannable synthesis.

What A Strong Medical Literature Review Delivers

Readers want two things: confidence and clarity. Your review earns both by showing what you searched, why studies were included, how evidence was grouped, and what the takeaways mean for practice or policy. Keep the tone neutral and the path traceable so another team could repeat the work.

How A Medical Literature Review Should Look: Structure That Works

Most journals expect a predictable flow. The outline below fits narrative, scoping, and systematic formats with small tweaks. Adjust scope and depth to match the review type and the journal’s word limit.

Core Sections At A Glance

Review Type When To Use Hallmarks
Narrative Broad topic mapping or concept overview Flexible search, expert framing, qualitative synthesis
Scoping Map of evidence, gaps, definitions Structured search, charting, no pooled effect
Systematic Focused question that guides decisions Protocol, exhaustive search, risk-of-bias appraisal, meta-analysis when fit
Rapid Time-sensitive topic with constraints Streamlined steps with stated shortcuts
Umbrella When many systematic reviews exist Appraises reviews, compares conclusions

Title, Abstract, And Keywords

Signal the review type and the question. Add PICO or a close variant in the abstract so readers see population, intervention, comparator, and outcomes. State the main objective and one crisp line on methods, then the headline results and the plain-language meaning. Include three to six keywords that match indexing terms used by the field.

Introduction: Problem, Gap, Aim

Open with the clinical or policy problem and the size of that problem. Summarize what is known from recent syntheses. Show the gap your review fills. End with a one-sentence aim that names the question and the target audience.

Methods: Transparent And Reproducible

Methods sell the review. Show enough detail for replication without turning the section into a protocol dump. Use subheads so readers can jump to the parts they need.

Eligibility Criteria

Define study designs, participants, settings, interventions or exposures, comparators, outcomes, time frames, and language limits. Predefine subgroup plans and any thresholds for data sufficiency. If you changed criteria during screening, state what changed and why.

Information Sources And Search

List all databases, date ranges, and the day you ran the final search. Include at least one medical database plus a preprint server if your topic moves fast. Provide the full search strings in an appendix or supplement. Note any hand searching, citation chasing, or contact with authors for missing data.

Screening And Selection

Describe how many reviewers screened titles, abstracts, and full texts. State the software used and the rule for breaking ties. Report main reasons for exclusion. Keep a flow diagram that shows counts at each stage from records found to studies included.

Data Items And Extraction

List prespecified variables: study design, setting, sample size, arms, endpoints, follow-up, analysis set, and funding or conflicts. Describe the extraction form and whether two reviewers worked independently.

Risk Of Bias Appraisal

Pick tools that match study design. Randomized trials pair with RoB 2. Non-randomized studies pair with ROBINS-I. State how many raters judged each study and how disagreements were handled. Keep judgments separate from results; the goal is a fair read of internal validity.

Effect Measures And Synthesis Plan

State planned metrics up front: risk ratio, odds ratio, hazard ratio, mean difference, or standardized mean difference. Explain when a meta-analysis is planned and how you will handle heterogeneity, small-study effects, and sensitivity runs. If pooling is not fit, explain the approach for narrative or tabular synthesis.

Certainty Of Evidence

Plan a GRADE table when the aim is clinical guidance. Name domains that can reduce or raise certainty and how the team will judge them. If GRADE is not fit, state the alternative and the reason.

Where To Place Your Two External Links

Add them after methods and before results to aid readers who want checklists or deeper guidance. Link the specific PRISMA 2020 checklist page and the current Cochrane Handbook page. Set target attributes so they open in a new tab.

See the PRISMA 2020 checklist and the Cochrane Handbook chapters for authoritative detail.

Results: From Flow To Findings

Start with the flow diagram totals and the final study count. Then give study features, risk-of-bias patterns, and the synthesis. Keep numeric claims exact and consistent with tables and figures.

Study Selection Flow

Report records identified, screened, and excluded with main reasons. Include counts for duplicates removed and any updates to the search before submission.

Study Characteristics

Summarize design, geography, settings, sample sizes, and follow-up windows. Name the outcome definitions that varied and how that affected grouping.

Risk Of Bias Summary

Present bar charts or traffic lights when the journal allows figures. In text, state the share of studies at low, some concerns, or high risk. Tie this to the confidence readers should have in the pooled and unpooled findings.

Synthesis Of Results

Report effect estimates with confidence intervals and a clear direction of effect. If you pooled, include the model type and the heterogeneity statistic with a short read of what that means for decision making. When you did not pool, group studies by design or outcome and tell the story in clear blocks.

Subgroups And Sensitivity Checks

State which subgroups were prespecified and what moved the needle. Note any post-hoc probes and frame them as hypothesis-generating. If results change with study quality filters or model choices, say so in plain terms.

Discussion: What The Evidence Says

Open with the central answer. Lay out strengths and caveats, including any small-study bias, outcome variability, or gaps in populations. Align claims with the certainty rating. Name the practical next steps for research or policy.

Practical Formatting That Signals Quality

Editors scan for markers that build trust. The list below keeps presentation tight and credible.

House Style And Readability

Stick to one tense per section. Use short sentences and plain words for methods and results. Avoid rhetorical claims and figurative language. Prefer numerators and denominators over lone percentages. Round sensibly and keep units consistent. Use active voice, concise clauses, concrete nouns to cut clutter and keep meaning clear and intact across long sections.

Tables And Figures

Include a study summary table with design, setting, sample sizes, arms, outcomes, and risk-of-bias ratings. Place forest plots and funnel plots where fit. Keep captions self-contained so figures travel well on their own.

Data Availability And Registration

State where extraction files, code, and supplements live. If you registered a protocol, include the registry number in the abstract and the methods.

One-Page Checklist For Authors

Use this snapshot while drafting. It mirrors journal expectations and keeps the review tight.

Section What To Show Quality Cue
Title & Abstract Review type, question, main result Plain-language meaning present
Methods Eligibility, search, selection, bias tools Dates and databases named
Results Flow, study features, synthesis Effect sizes with intervals
Discussion Answer, caveats, next steps Claims match certainty
Data & Code Links to files and forms Repository cited

Ethics, Conflicts, And Funding

While reviews rarely need ethics board approval, they still need clean reporting. Disclose funding and any roles sponsors played in design, screening, extraction, or interpretation. Declare conflicts for every author. State whether you contacted study authors for clarifications and whether any data were shared under agreement.

Style Choices That Help Peer Review

Write headings that match the content below them. Use consistent labels for outcomes across text, tables, and figures. Keep acronyms to a minimum and define them once. Place abbreviations and symbols in a short list near the end if the journal asks for it.

Common Pitfalls To Avoid

Vague Questions

Overwide questions lead to shallow answers. Tighten the population, exposure or intervention, comparator, and outcomes until the scope fits a single paper.

Weak Search Reporting

Readers need the exact strings, the dates, and the sources. Missing pieces signal missed studies. Save your full strategies in a supplement and mirror the core fields in the main text.

Mixing Quality Judgments With Results

Keep appraisal in its own section. Do not fold bias judgments into effect sizes. Say what the bias means for confidence without changing the numbers.

Outcome Switching

Stick to prespecified outcomes. If you add new ones after reading studies, label them and explain why they matter.

Trusted Guides And Where To Link Them

When the journal allows one or two external links, steer readers to gold-standard guides. Link the PRISMA 2020 checklist and the Cochrane Handbook chapter list in the body where they add the most value.

Final Checks Before Submission

Read the abstract and the headings alone; the core message should stand without the rest. Scan numbers across text and tables. Rerun one or two searches before submission to catch late additions. Confirm author contributions, conflicts, and data links. Add a short plain-language summary if the journal asks for one.

Sample Phrases And Sentences You Can Reuse

Method Lines

“We prespecified eligibility using the PICOS structure and registered the protocol before screening.”

“Two reviewers screened records independently at each stage with a third reviewer resolving ties.”

“We used RoB 2 for randomized trials and ROBINS-I for non-randomized studies.”

Result Lines

“Across 18 studies (n=7,432), the pooled risk ratio favored the intervention with moderate heterogeneity.”

“Narrative synthesis was used because outcome measures differed across studies.”

Discussion Lines

“Findings suggest benefit in short-term pain but limited data on long-term function.”

“Well-designed trials with standardized outcomes would close the largest gaps.”