Skills Data Science Designing Evidence Exhibits for Research Reviews

Designing Evidence Exhibits for Research Reviews

v20260724
revedres-tables-figures
A comprehensive guide for designing essential exhibits—such as PRISMA flow diagrams, forest plots, and evidence maps—for systematic reviews, meta-analyses, and critical syntheses. These exhibits are crucial for allowing readers to audit the search process and understand the synthesis at a glance, ensuring methodological rigor and clarity.
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Overview

Tables & Figures (revedres-tables-figures)

When to trigger

  • The synthesis is settled and you need exhibits that prove and carry it
  • A draft describes the search in prose with no PRISMA diagram
  • A meta-analysis has results but no forest plot or bias figure
  • Tables list studies without making them comparable to a reader

Exhibits an RER review is expected to carry

A review's exhibits are not decoration — they are how a reader audits your search and reads your synthesis at a glance. Build the right ones for the review type.

Exhibit Required for What it must show
PRISMA flow diagram systematic reviews & meta-analyses identification → screening → eligibility → included, with counts and exclusion reasons that reconcile
Study characteristics table all review types per-study: sample/context, design, measures, key result, risk-of-bias rating
Forest plot meta-analysis each effect with CI, weight, and the pooled estimate; subgroup panels for moderators
Funnel plot (+ Egger/trim-fill) meta-analysis publication-bias diagnostics, not asserted in prose
Coding / evidence-map table narrative & critical syntheses studies arranged by the framework's cells, so the spine is visible
Conceptual figure critical/integrative syntheses the organizing model or taxonomy as a diagram

Design rules so exhibits do real work

  1. The PRISMA numbers must reconcile. Identified − duplicates − screened-out − full-text-excluded = included. Reviewers add them up; a mismatch undermines the whole review.
  2. Compare only commensurable estimates. A study-characteristics table that mixes incompatible outcomes invites false "the literature finds…" claims; group by construct and note the metric.
  3. Carry credibility in the table. Every finding/effect column needs a risk-of-bias rating beside it so emphasis is visibly credibility-weighted, not count-weighted.
  4. The forest plot is the result. Order it by the moderator that matters (so heterogeneity is visible), show weights, and place the pooled diamond with its CI and prediction interval where useful.
  5. The conceptual figure should be re-buildable from memory. If a reader cannot redraw your framework after one look, it is too busy.
  6. APA 7 formatting. Number, title, and note each table/figure per APA 7th; figures legible in greyscale; alt-text/notes where required.

Matching the exhibit set to the review type

Do not build a forest plot for a conceptual synthesis or skip the PRISMA flow for a systematic review — the expected set differs:

  • Meta-analysis: PRISMA flow + study-characteristics table (with effect sizes and risk-of-bias) + forest plot + publication-bias figure are all effectively mandatory. A subgroup forest or meta-regression figure carries the moderator story.
  • Systematic review (narrative): PRISMA flow + a study-characteristics table + an evidence-map table organized by the framework's cells; a forest plot is inappropriate if effects are not pooled.
  • Critical / conceptual synthesis: a conceptual figure of the framework is the centerpiece; an evidence-map or comparison table shows how the literature populates it. No PRISMA flow is required if the synthesis is explicitly non-systematic, but the search logic must still be described.

The exhibits should let a skim-reader reconstruct the search, the corpus, and the synthesis without reading the prose — that is the test of a good RER exhibit set.

Checklist

  • PRISMA flow diagram present (systematic/meta) and its counts reconcile exactly
  • Study-characteristics table: sample, design, measure, result, risk-of-bias per study
  • Forest plot ordered by a meaningful moderator; weights + pooled estimate + CI shown
  • Publication-bias figure (funnel/Egger/trim-fill) included for meta-analyses
  • Narrative/critical review has an evidence-map table arranged by the framework's cells
  • A conceptual figure renders the organizing model (for integrative syntheses)
  • Only commensurable outcomes are tabled together; metric noted per group
  • Tables/figures formatted to APA 7; legible in greyscale; embedded in the Word manuscript

Anti-patterns

  • No PRISMA diagram, or one whose numbers do not add up
  • A study table that mixes incompatible outcomes into one comparison
  • A forest plot with no weights, no pooled estimate, or arbitrary study order
  • Asserting "no publication bias" in prose with no funnel/Egger/trim-fill figure
  • A conceptual figure so cluttered it cannot be redrawn from memory
  • Finding columns with no adjacent quality rating, so weak and strong studies look equal
  • Pasting original-regression output of the author's own data — RER reviews synthesize, not report new estimates

Output format

【Review type】systematic | meta-analysis | critical-integrative
【PRISMA】flow diagram present; counts reconcile? Y/N
【Study table】sample/design/measure/result/RoB per study? Y/N
【Forest plot】ordered by moderator; weights + pooled CI? Y/N (meta)
【Bias figure】funnel/Egger/trim-fill included? Y/N (meta)
【Evidence map】arranged by framework cells? Y/N (narrative/critical)
【Conceptual figure】model/taxonomy diagram present + re-drawable? Y/N
【APA 7】numbering, titles, notes, greyscale legibility checked? Y/N
【Next step】→ revedres-writing-style (write the synthesizing RER voice; abstract + intro last)
Info
Category Data Science
Name revedres-tables-figures
Version v20260724
Size 5.78KB
Updated At 2026-07-29
Language