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.

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EvalCompass Worksheet

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.

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 explanation

Writing 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 example

Search 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

DatabaseSearch strategy: keywordsSearch dateHitsNotes, such as filters
Plan to select educational research databases.Combine learning support, population and comparison terms and retain executed searches.Not conductedNot calculatedRecord search settings when executed.

Reason for this entry: Do not invent counts for searches not performed.

Scroll horizontally to view the table

DatabaseSearch strategy: keywordsSearch dateHitsNotes, 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 explanation

Writing tips

Keep the information in each row aligned. Scroll wide tables horizontally to see every column.

Read the full fictional example

Screening 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 stageCountExcluded countMain exclusion reasonsResponsible person
Full-text assessment2 fictional illustrative studiesNot calculated; actual searching not performedActual searching not performedA and B (fictional)

Reason for this entry: Distinguish calculation examples from actual review progress.

Scroll horizontally to view the table

Screening stageCountExcluded countMain exclusion reasonsResponsible 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 explanation

Writing tips

Keep the information in each row aligned. Scroll wide tables horizontally to see every column.

Read the full fictional example

Data 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 yearIntervention contentPopulationOutcome measures and effect sizesAssess risk of biasNotes
Fictional A, not a real studyLearning supportAssume identically defined eligible children.Score mean difference 2, SE 1Not assessedFormula illustration
Fictional B, not a real studyAssume equivalent learning support.Assume identically defined eligible children.Score mean difference 4, SE 1Not assessedFormula illustration

Reason for this entry: Distinguish mean differences and standard errors.

Scroll horizontally to view the table

Study ID: author and yearIntervention contentPopulationOutcome measures and effect sizesAssess risk of biasNotes
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 explanation

Writing tips

Keep the information in each row aligned. Scroll wide tables horizontally to see every column.

Read the full fictional example

Completion 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 explanation

Writing 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 example

Before 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. 1. Basic informationDefine the review framework.
  2. 2. Search strategy recordRecord each database's search strategy and date.
  3. 3. Screening managementRecord stage counts following the PRISMA flow.
  4. 4. Data extraction itemsDesign items extracted from each included study.
  5. 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)
Fictional example; not actual results

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

DatabaseSearch strategy: keywordsSearch dateHitsNotes, such as filters
Plan to select educational research databases.Combine learning support, population and comparison terms and retain executed searches.Not conductedNot calculatedRecord 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 stageCountExcluded countMain exclusion reasonsResponsible person
Full-text assessment2 fictional illustrative studiesNot calculated; actual searching not performedActual searching not performedA 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 yearIntervention contentPopulationOutcome measures and effect sizesAssess risk of biasNotes
Fictional A, not a real studyLearning supportAssume identically defined eligible children.Score mean difference 2, SE 1Not assessedFormula illustration
Fictional B, not a real studyAssume equivalent learning support.Assume identically defined eligible children.Score mean difference 4, SE 1Not assessedFormula 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.

Editorial and checking information

Content updated: Source checked: (includes AI cross-checking)No documented human reviewIncludes fictional examplesEditorial policy and scope of checkingCite this pageReport a correction

References and checked sections

  1. Cochrane Handbook: Chapter 10, Analysing data and undertaking meta-analyses
    Jonathan 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.
    Source checked: (includes AI cross-checking)

How to cite this page

EvalCompass Editorial Team. “Systematic review planning and management worksheet”. EvalCompass, updated 2026-10-07. https://evalcompass.jun-nakatani.com/en/worksheets/meta-analysis/
Add the date you accessed the page. Text created by this site is available under CC BY 4.0. Quotations, external materials, and bundled fonts have their own terms of use. When reusing content, credit the source, link to the license, and indicate any changes.

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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.