Systematic review planning and management worksheet
Consider preregistration in PROSPERO or elsewhere before starting. Prespecifying screening and inclusion/exclusion criteria before searching and not changing them afterward is fundamental to credibility.
Systematic review planning and management worksheet
Basic information
Define the review framework.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- Provisional review title
- Learning support and scores on the same scale
- PICO: population, intervention, comparison and outcome
- P: eligible children; I: learning support; C: usual support; O: score after six months
- Eligible designs: RCTs only / observational studies included, etc.
- Plan to include RCTs
- Languages
- Japanese and English; record language omissions as a limitation
- Publication years
- Finalize before searching.
- Responsible staff and start date
- Staff A and B / July 2026 (fictional)
- Preregistration number, such as PROSPERO
- Not registered; consider a suitable register.
Reason for this entry: Do not present fictional A/B as real study bibliographic entries.
Writing tips and explanation for this section
About this section
Define the review framework.
Do not present fictional A/B as real study bibliographic entries.
View the method explanationWriting tips
Follow each field’s heading to record the program name, focus, period, and other details. Leave undecided matters clearly marked as unresolved.
Read the full fictional exampleSearch strategy record
Record each database's search strategy and date.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Database | Search strategy: keywords | Search date | Hits | Notes, such as filters |
|---|---|---|---|---|
| Plan to select educational research databases. | Combine learning support, population and comparison terms and retain executed searches. | Not conducted | Not calculated | Record search settings when executed. |
Reason for this entry: Do not invent counts for searches not performed.
Scroll horizontally to view the table
| Database | Search strategy: keywords | Search date | Hits | Notes, such as filters |
|---|---|---|---|---|
Writing tips and explanation for this section
About this section
Record each database's search strategy and date.
Do not invent counts for searches not performed.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleScreening management
Record stage counts following the PRISMA flow.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Screening stage | Count | Excluded count | Main exclusion reasons | Responsible person |
|---|---|---|---|---|
| Full-text assessment | 2 fictional illustrative studies | Not calculated; actual searching not performed | Actual searching not performed | A and B (fictional) |
Reason for this entry: Distinguish calculation examples from actual review progress.
Scroll horizontally to view the table
| Screening stage | Count | Excluded count | Main exclusion reasons | Responsible person |
|---|---|---|---|---|
Writing tips and explanation for this section
About this section
Record stage counts following the PRISMA flow.
Distinguish calculation examples from actual review progress.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleData extraction items
Design items extracted from each included study.
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
Scroll horizontally to view the table
| Study ID: author and year | Intervention content | Population | Outcome measures and effect sizes | Assess risk of bias | Notes |
|---|---|---|---|---|---|
| Fictional A, not a real study | Learning support | Assume identically defined eligible children. | Score mean difference 2, SE 1 | Not assessed | Formula illustration |
| Fictional B, not a real study | Assume equivalent learning support. | Assume identically defined eligible children. | Score mean difference 4, SE 1 | Not assessed | Formula illustration |
Reason for this entry: Distinguish mean differences and standard errors.
Scroll horizontally to view the table
| Study ID: author and year | Intervention content | Population | Outcome measures and effect sizes | Assess risk of bias | Notes |
|---|---|---|---|---|---|
Writing tips and explanation for this section
About this section
Design items extracted from each included study.
Distinguish mean differences and standard errors.
View the method explanationWriting tips
Keep the information in each row aligned. Scroll wide tables horizontally to see every column.
Read the full fictional exampleCompletion check
Completed example for this section (fictional)
This fictional example is for explanation. Adapt it to your own program. Your entries will not change.
- ☑ Checked: Documented PICO beforehand
- ☐ Not checked: Finalized inclusion and exclusion criteria before searching
- ☐ Not checked: At least 2 independent screeners
- ☐ Not checked: Selected a risk-of-bias tool and applied it to all included studies
- ☐ Not checked: Created a PRISMA flow diagram
- ☐ Not checked: Examined bias from missing studies or results and recorded funnel plot or other applicability, findings or reasons for non-use
Reason for this entry: Review procedures beyond defining the question have not been conducted. Illustrating formulas with two studies is not a completed systematic review.
Writing tips and explanation for this section
About this section
Review procedures beyond defining the question have not been conducted. Illustrating formulas with two studies is not a completed systematic review.
View the method explanationWriting tips
Read each item and check those you have confirmed. Do not use the fictional example’s checkbox states as findings about your own program.
Read the full fictional exampleBefore writing, check when to use the worksheet and what completion involves
Systematic review planning and management worksheet is a worksheet for applying Meta-Analysis and Systematic Review in meetings or individual work. For the overall duration of the method, use “Planning example, not a universal standard duration: 3–12 months for searching, screening, extraction and statistical synthesis” as a reference, adjusting for scale and resources. Fill in what you know provisionally and leave unresolved matters as questions to check next.
When this worksheet is useful
- When comprehensively synthesizing evidence on interventions such as employment training or conditional cash transfers
- When conflicting evaluation studies need statistical organization to clarify overall conclusions
- When systematically organizing studies and, if pooling is appropriate, showing average effects and uncertainty
Participants and preparation
At least 2 independent reviewers for screening and extraction, and a statistician for meta-analysis. Collaboration with external statistical and information specialists for search strategies is recommended.
Bring the materials used for decisions, existing data, and differing stakeholder views to help complete the worksheet.
Suggested order
- 1. Basic informationDefine the review framework.
- 2. Search strategy recordRecord each database's search strategy and date.
- 3. Screening managementRecord stage counts following the PRISMA flow.
- 4. Data extraction itemsDesign items extracted from each included study.
- 5. Completion check
Signs the worksheet is ready for review
- PRISMA flow diagram from search to inclusion
- Included-study characteristics
- Forest plot of pooled and individual effects
Cautions for review
- Inadequate search strategies. English-only or single-database searches miss important studies. Include multiple languages, databases and grey literature.
- Pooling despite heterogeneity. Forcing a pooled estimate despite high I² reports a misleading single number.
- Pooling without bias appraisal may precisely summarize bias. Report appraisal, sensitivity analysis and limitations.
Read a completed fictional example (your entries will not change)
A fictional illustrative example: studies A and B use the same score scale and time point, with mean differences of 2 and 4 points and standard errors of 1 point each.
Basic information
- Provisional review title
- Learning support and scores on the same scale
- PICO: population, intervention, comparison and outcome
- P: eligible children; I: learning support; C: usual support; O: score after six months
- Eligible designs: RCTs only / observational studies included, etc.
- Plan to include RCTs
- Languages
- Japanese and English; record language omissions as a limitation
- Publication years
- Finalize before searching.
- Responsible staff and start date
- Staff A and B / July 2026 (fictional)
- Preregistration number, such as PROSPERO
- Not registered; consider a suitable register.
Reason for this entry: Do not present fictional A/B as real study bibliographic entries.
Search strategy record
Scroll horizontally to view the table
| Database | Search strategy: keywords | Search date | Hits | Notes, such as filters |
|---|---|---|---|---|
| Plan to select educational research databases. | Combine learning support, population and comparison terms and retain executed searches. | Not conducted | Not calculated | Record search settings when executed. |
Reason for this entry: Do not invent counts for searches not performed.
Screening management
Scroll horizontally to view the table
| Screening stage | Count | Excluded count | Main exclusion reasons | Responsible person |
|---|---|---|---|---|
| Full-text assessment | 2 fictional illustrative studies | Not calculated; actual searching not performed | Actual searching not performed | A and B (fictional) |
Reason for this entry: Distinguish calculation examples from actual review progress.
Data extraction items
Scroll horizontally to view the table
| Study ID: author and year | Intervention content | Population | Outcome measures and effect sizes | Assess risk of bias | Notes |
|---|---|---|---|---|---|
| Fictional A, not a real study | Learning support | Assume identically defined eligible children. | Score mean difference 2, SE 1 | Not assessed | Formula illustration |
| Fictional B, not a real study | Assume equivalent learning support. | Assume identically defined eligible children. | Score mean difference 4, SE 1 | Not assessed | Formula illustration |
Reason for this entry: Distinguish mean differences and standard errors.
Completion check
- ☑ Checked: Documented PICO beforehand
- ☐ Not checked: Finalized inclusion and exclusion criteria before searching
- ☐ Not checked: At least 2 independent screeners
- ☐ Not checked: Selected a risk-of-bias tool and applied it to all included studies
- ☐ Not checked: Created a PRISMA flow diagram
- ☐ Not checked: Examined bias from missing studies or results and recorded funnel plot or other applicability, findings or reasons for non-use
Reason for this entry: Review procedures beyond defining the question have not been conducted. Illustrating formulas with two studies is not a completed systematic review.
Common errors in judgment
Collecting only significant studies
How to revise: Set eligibility independently of findings.
Reason: Selecting studies by results biases estimates.
Automatically selecting fixed effects because I² is low
How to revise: Select models from study meaning and the estimand.
Reason: Heterogeneity estimation itself is uncertain with few studies.
References and checked sections
- Cochrane Handbook: Chapter 10, Analysing data and undertaking meta-analysesJonathan J. Deeks et al. / Cochrane
- Section consulted
- 10.1 / 10.2 / 10.10.3 / 10.10.4
- How it relates to the text
- Meta-analysis is not mandatory in systematic review. Consider the meaning of pooling and differences between studies.
How to cite this page
Change history
- — Checked sources for definitions and applicability conditions, and added fictional examples, reasons for judgments and examples for every worksheet field. Revised unverified claims about history and adoption. Also reviewed existing procedures and cautions, and adjusted fixed participant counts and thresholds and generalizations about institutions.
- — Correction based on independent content review (content-check-causal). Specified funnel plot and related applicability, asymmetry interpretation and recording reasons for non-use.


