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The PRISMA 2020 Workflow: From the Research Question to a Verifiable Flow Diagram

PRISMA 2020 supports transparent systematic-review reporting, but checklists and flow diagrams cannot replace protocols, searches, screening decisions or synthesis methods.

KEY ARGUMENT

PRISMA 2020 guides reporting, not review conduct. Every flow count should be traceable to search files, deduplication logs, screening decisions, full-text exclusions and report–study links.

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1. What is PRISMA 2020 for?

PRISMA means Preferred Reporting Items for Systematic Reviews and Meta-Analyses. The 2020 version specifies minimum reporting of rationale, methods and findings. Core materials include a 27-item checklist, expanded checklist, abstract checklist and flow templates (Page, McKenzie, et al., 2021).

Interpret “reporting” correctly. PRISMA helps assess completeness and transparency; it does not select databases, risk-of-bias tools or synthesis models. Explain those review-specific methodological choices through a protocol and specialized guidance (Page, Moher, et al., 2021).

Seven-step PRISMA workflow, from protocol to reporting and archiving.
Figure 1. PRISMA reports a documented workflow. Every step should produce assessable files or logs.
Table 1
ComponentScopeSource
PRISMA 2020 checklist27 systematic-review reporting itemsPage, McKenzie, et al. (2021)
Flow diagram4 templates by review type and identification sourcesPRISMA (n.d.-b)
PRISMA-S16 search-reporting itemsRethlefsen et al. (2021)
Do not call PRISMA a research method

State that the review followed a prespecified protocol and was reported according to PRISMA 2020. Methods must still describe questions, eligibility, searches, screening, extraction, risk of bias and synthesis.

2. Choose appropriate checklists and extensions

PRISMA 2020 mainly addresses intervention-effect reviews. Other systematic reviews can use it while checking relevant extensions. PRISMA recommends the main guideline together with design- and evidence-specific extensions (PRISMA, n.d.-c; Page, Moher, et al., 2021).

Meta-analysis is not required for a systematic review. Without pooling, describe study grouping, synthesis methods and each synthesis in sufficient detail to assess conclusions (Page, Moher, et al., 2021).

Table 2
ProductGuidanceAvoid
Systematic reviewPRISMA 2020 and expanded checklistSubmitting only a flow diagram
ProtocolPRISMA-PWriting a protocol after learning results
Search strategyPRISMA-S alongside PRISMA 2020Listing isolated keywords only
Scoping reviewPRISMA-ScRCalling every descriptive review systematic
Diagnostic, IPD, harms or network meta-analysisPRISMA 2020 plus the relevant extensionIgnoring evidence-specific requirements

3. Fix the question, eligibility and protocol

A protocol records rationale, objectives and planned methods before the team fully knows eligible-study results. PRISMA-P provides a 17-item protocol checklist (Moher et al., 2015); its explanation details each item’s rationale and requirements (Shamseer et al., 2015).

For intervention reviews, PICO defines population, intervention, comparator and outcome. The first three often underpin eligibility; prespecify outcomes, but they are not always exclusion criteria. Excluding a study for not reporting an outcome differs from excluding one that never measured it (McKenzie et al., 2024; Page, Moher, et al., 2021).

Other fields may need different frameworks. Match the framework to the question and operational inclusion/exclusion rules that two reviewers can apply consistently to one report.

Table 3
ComponentAdvance decisionRecord to preserve
QuestionPopulation, phenomenon/intervention, outcome and contextQuestion version and approval date
CriteriaDesign, dates, languages and publication statusCriteria dictionary and borderline examples
SourcesDatabases, registers, websites and citation searchingPlatform, coverage and search date
ScreeningReviewer count, independence and disagreement resolutionForms and conflict log
SynthesisExtracted variables, risk of bias and analysis methodsExtraction form and codebook
Record every amendment

Protocol changes are not inherently unreliable. Undisclosed or result-informed changes create risk. Log each amendment’s content, date, reason and effect, and distinguish planned from performed methods.

4. Design reproducible searches

Record database and platform, execution date, date coverage, verbatim queries, limits, filters and supplementary methods. MEDLINE via PubMed and Ovid are not equivalent descriptions because syntax, fields and term mapping differ. PRISMA-S has 16 items supporting assessment and reproduction (Rethlefsen et al., 2021).

Build a concept matrix

List synonyms, spelling variants and controlled terms for each concept.

Develop the master query

Use OR within concepts and AND between concepts. Test against known relevant papers.

Translate syntax

Adapt fields, truncation, quotes and proximity operators for each platform.

Run and timestamp

Save date, count, export format, filename and verbatim query. Preserve each update rather than overwriting.

Supplement searches

Specify backward/forward citation searching, websites or expert contact.

Update before submission

Describe updates and integration of new batches.

Reporting example in English

We searched [database] through [platform] from [start, if any] to [last date]. Controlled and free-text terms addressed [concepts]. Verbatim queries, filters and source counts appear in Appendix [X]. Supplementary [citation/web/expert] searches occurred on [date]. Language, date and document limits were justified by [reasons].

5. Manage records and deduplicate

Preserve each source export as a separate batch before merging, with source ID, date, count and identifiers. This supports identification-branch counts.

Do not treat deduplication as a black box. Report tools, versions, matching fields and manual checks. Missing DOIs do not prove records differ, and similar titles do not prove duplicates. Compare titles, authors, years, publication sources, pages and identifiers together (Rethlefsen et al., 2021).

Table 4
FieldExamplePurpose
batch_idSCOPUS_2026-10-20Trace source and export batch
record_idUnique internal identifierLink processing stages
duplicate_ofRetained record IDAudit deduplication decisions
decision_timestampDate/time and reviewerVersion decision records
First reconciliation

Records screened equal identified records minus duplicates and other prescreening removals. Trace every term to management tables rather than reconstructing counts from memory.

6. Screen and record exclusion reasons

PRISMA 2020 requests reviewer counts per record/report, independence, disagreement handling and automation roles (Page, McKenzie, et al., 2021). It does not assume one staffing arrangement for all projects; describe actual practice so readers can assess missed or misclassified evidence (Page, Moher, et al., 2021).

Pilot eligibility criteria

Reviewers independently apply criteria to a small common set, compare decisions and resolve ambiguities before full screening.

Screen records

Save include, exclude or uncertain decisions and their history.

Retrieve full text

Separate unavailable reports from retrieved but ineligible reports.

Assess full text

Assign each excluded report one main reason from a defined list.

Resolve disagreements

Record the final decision, conflict and any clarified rule.

Avoid “irrelevant” as an exclusion reason

Use criterion-specific labels such as wrong population, intervention/exposure, design or context. Distinguish unmeasured outcomes from measured but unreported results.

7. Distinguish records, reports and studies

A record is an indexed title, abstract or entry for a report. A report supplies study information, such as an article, preprint, thesis or registration. A study is the actual data-generating investigation. One study may have several reports and one report multiple duplicate records (Page, Moher, et al., 2021).

Multiple records may identify one report; multiple reports may describe one study.
Figure 2. Records, reports and studies are different counting units. Report–study mapping prevents duplicate evidence.
Table 5
UnitExampleCommon pitfall
RecordOne Scopus entryThe same report appears in several sources
ReportJournal article, preprint or thesisSeveral reports describe one study
StudyOne original investigation or datasetCounting reports as studies inflates evidence
Create report–study links

Use study_id and report_id. Link shared samples, trial registrations or collection rounds before extraction and study counting.

8. Extraction, risk of bias and synthesis

PRISMA extends beyond inclusion. Report extractor counts, independence, author confirmation, sought variables, risk-of-bias tools and synthesis methods (Page, Moher, et al., 2021).

Pilot extraction forms. Define field types, units, measurement times and source reports. Prespecify selection among multiple eligible results. For derived values, save formulas, inputs and the person responsible.

For each synthesis, state eligible studies and grouping reasons. Meta-analyses need pooled estimates, precision and appropriate heterogeneity measures. Without pooling, describe synthesis methods and avoid vote counting by statistical significance (Page, Moher, et al., 2021).

Table 6
BlockContentControl
Study characteristicsDesign, context, sample and timingCodebook and permitted values
Outcome/themeDefinition, instrument and resultsSource-page links
Risk of biasDomains, judgments and reasonsDesign-appropriate tool
SynthesisStudy groups and data usedTrace results to source reports
A diagram does not replace quality assessment

It documents the literature pathway, not low bias, correct extraction or defensible synthesis.

9. Build the diagram and reconcile arithmetic

Count identified records, prescreening removals, screened records, reports sought/unavailable/excluded with reasons, and included studies/reports. PRISMA provides four templates for new/updated reviews and identification with/without additional sources beyond databases/registers (PRISMA, n.d.-b).

The following counts are hypothetical illustrations, not an actual review.

Hypothetical reconciliation from 1280 identified records to 39 included reports and 34 studies.
Figure 3. Hypothetical arithmetic reconciliation illustrates checking and does not replace the official PRISMA 2020 template.
Table 7
StepHypothetical countReconciliation
Database records1.248Sum of exports
Other-source records32Supplementary search log
Duplicate records2861.248 + 32 - 286 = 994
Title/abstract exclusions812994 - 812 = 182 reports sought
Reports not retrieved9182 - 9 = 173 reports assessed
Full-text report exclusions134Reasons must sum to 134
Included reports39173 - 134 = 39
Included studies3439 reports linked to 34 study_id values
Use the correct official template

Choose the PRISMA 2020 template by two decisions: new or updated review, and identification using sources beyond databases/registers. Do not simplify away reports not retrieved or reports excluded.

10. Complete reporting and the handover package

Check reporting while writing, not only at submission. Give a page/section for every item or explain inapplicability. Official materials provide the 27-item and expanded checklists (PRISMA, n.d.-a). Read Explanation and Elaboration for rationale, essentials and examples (Page, Moher, et al., 2021).

Table 8
FileContentRole
protocolPlan and amendmentsDistinguish planned from post hoc methods
search-logSources, queries, dates and countsReproduce searches
records-masterRecords, sources and deduplicationReconcile identification
screening-logReviewer decisionsReconcile screening
full-text-exclusionsExcluded reports and reasonsPopulate the exclusion branch
study-report-mapreport_id and study_id linksCount studies accurately
PRISMA-checklistReporting location for every itemAssess completeness

Reporting example in English

This review was reported according to PRISMA 2020 (Page, McKenzie, et al., 2021). Its protocol was [registered/archived] at [platform, ID/URL] on [date]. Searches covered [databases/platforms] through [date]; full queries appear in Appendix [X]. Removing [n] duplicates and [n] prescreening records left [n] title/abstract records. [Number] reviewers screened [independently/nonindependently], resolving disagreements through [procedure]. Full-text assessment covered [n] reports, excluded [n] for defined reasons, and included [n] studies in [n] reports.

11. Common errors

Table 9
Weak practiceProblemCorrection
The study used the PRISMA methodPRISMA does not specify all conductDescribe protocol, search, screening, extraction and synthesis
Only drawing a diagramDoes not cover 27 itemsComplete the checklist with page locations
Not saving queriesSearches cannot be reproducedPreserve queries, dates, platforms, filters and counts
Counting papers as studiesOne study can have several reportsCreate study_id and report_id
Combining unavailable and ineligible reportsDifferent stages and statusesKeep retrieval_status and full_text_decision separate
Excluding as irrelevantDoes not identify the failed criterionUse specific reason categories
Inventing counts at project endArithmetic errors and lost provenanceGenerate counts from record and screening tables
Not reporting AI/automationUnclear which records were affectedState tools, versions, roles and human verification

12. Submission checklist

  • Report the protocol, registration and all amendments.
  • Make eligibility reproducibly operational.
  • Name each source’s platform and last search date.
  • Include verbatim queries in an appendix.
  • Describe deduplication tools, versions, matching fields and checks.
  • State reviewer counts, independence and conflict resolution.
  • Separate unavailable reports from full-text exclusions.
  • Assign one main reason per full-text exclusion.
  • Count records, reports and studies correctly.
  • Reconcile diagram counts, decision tables and subtraction.
  • Make extraction, bias assessment and synthesis assessable.
  • Describe AI/automation and human verification.
  • Give reporting locations for all checklist items.
  • Match the diagram template to review type and sources.

Conclusion

A trustworthy PRISMA workflow starts with a protocol, operational criteria and preserved queries rather than filling diagram boxes. Record, report and study tables generate counts and document decisions.

Checklists and diagrams report documented work. Traceable boxes and explained protocol changes let readers assess searches, study selection and reporting completeness.

References

  • Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71.https://doi.org/10.1136/bmj.n71
  • Page, M. J., Moher, D., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... McKenzie, J. E. (2021). PRISMA 2020 explanation and elaboration: Updated guidance and exemplars for reporting systematic reviews. BMJ, 372, n160.https://doi.org/10.1136/bmj.n160
  • PRISMA. (n.d.-a). PRISMA 2020 checklist.https://www.prisma-statement.org/prisma-2020-checklist
  • PRISMA. (n.d.-b). PRISMA 2020 flow diagram.https://www.prisma-statement.org/prisma-2020-flow-diagram
  • PRISMA. (n.d.-c). PRISMA extensions.https://www.prisma-statement.org/extensions
  • McKenzie, J. E., Brennan, S. E., Ryan, R. E., Thomson, H. J., Johnston, R. V., & Thomas, J. (2024). Chapter 3: Defining the criteria for including studies and how they will be grouped for the synthesis. In J. P. T. Higgins, J. Thomas, J. Chandler, M. Cumpston, T. Li, M. J. Page, & V. A. Welch (Eds.), Cochrane handbook for systematic reviews of interventions (Version 6.5). Cochrane.https://training.cochrane.org/handbook/current/chapter-03
  • Moher, D., Shamseer, L., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., Stewart, L. A., & PRISMA-P Group. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015 statement. Systematic Reviews, 4, 1.https://doi.org/10.1186/2046-4053-4-1
  • Rethlefsen, M. L., Kirtley, S., Waffenschmidt, S., Ayala, A. P., Moher, D., Page, M. J., Koffel, J. B., & PRISMA-S Group. (2021). PRISMA-S: An extension to the PRISMA Statement for reporting literature searches in systematic reviews. Systematic Reviews, 10, 39.https://doi.org/10.1186/s13643-020-01542-z
  • Shamseer, L., Moher, D., Clarke, M., Ghersi, D., Liberati, A., Petticrew, M., Shekelle, P., Stewart, L. A., & PRISMA-P Group. (2015). Preferred reporting items for systematic review and meta-analysis protocols (PRISMA-P) 2015: Elaboration and explanation. BMJ, 350, g7647.https://doi.org/10.1136/bmj.g7647

Methodological note: This is general reporting and workflow guidance. Fields, questions and evidence types may require specialist guidance. All example counts are hypothetical.