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SCHEMATEX / RESEARCH NOTEWorked analysis · Evidence synthesis

PRISMA 2020 count consistency: a dual-pipeline worked check

A PRISMA figure is not correct because the boxes look familiar. The counts must reconcile from identification through screening, retrieval, eligibility, and inclusion.

KEY RESULT5/5

stage equations reconcile in the fictional dual-pipeline dataset

FIGURE 01 / REPRODUCIBLE OUTPUTSVG · SCHEMATEX
PRISMA 2020 dual-pipeline flow diagram with database and other-method identification paths
Rendered by Schematex from a fictional, arithmetically reconciled review dataset.

A PRISMA 2020 flow diagram is internally consistent when each reported stage reconciles with the stages immediately before and after it. In this fictional dual-pipeline example, 1,234 database/register records minus 254 duplicates plus 56 records found by other methods yields 1,036 screened records; every later subtraction also reconciles.

Dual-pipeline PRISMA figure showing database and other-method records merging before screening
Fictional counts designed to demonstrate arithmetic checks. The layout follows the PRISMA 2020 dual-source concept.

The five reconciliation checks

1. Records entering screening

database records − duplicates removed + other-method records
= 1,234 − 254 + 56
= 1,036 records screened

The “other methods” path includes citation searching, hand searching, and expert recommendations in this example. It remains a separate identification stream before merging into screening.

2. Reports sought for retrieval

records screened − records excluded
= 1,036 − 810
= 226 reports sought

The record/report distinction matters. Screening commonly operates on titles and abstracts represented as records; retrieval and eligibility operate on reports.

3. Reports assessed for eligibility

reports sought − reports not retrieved
= 226 − 12
= 214 reports assessed

If reports not retrieved are omitted from the diagram, the assessed count can appear inexplicably smaller than the sought count.

4. Included studies

reports assessed − reports excluded
= 214 − 191
= 23 studies included

This simplified example maps the 23 remaining eligible reports to 23 included studies. In a real review, report-to-study linkage must be handled explicitly because one study can generate multiple reports.

5. Exclusion-reason subtotal

wrong population + wrong intervention + wrong outcome
= 80 + 60 + 51
= 191 reports excluded
CheckInputsExpectedReportedResult
Enter screening1234 − 254 + 561,0361,036Pass
Seek reports1036 − 810226226Pass
Assess reports226 − 12214214Pass
Include studies214 − 1912323Pass within stated mapping
Reasons subtotal80 + 60 + 51191191Pass

Why studies can differ from reports

PRISMA 2020 distinguishes studies from reports. One randomized trial may produce a protocol, primary results paper, follow-up paper, and subgroup analysis. Those are multiple reports of one study.

The fictional diagram therefore reports 23 studies and 25 reports. That is not an arithmetic error. It is a reminder that the included-stage relationship is not always a one-to-one subtraction from eligible reports. A robust review workflow maintains a study–report linkage table rather than guessing from citation titles.

Reproducible input

prisma
mode: 2020-dual
identification:
  databases:
    n: 1234
    duplicates-removed: 254
  other:
    n: 56
screening:
  records-screened: 1036
  excluded: 810
  reports-sought: 226
  reports-not-retrieved: 12
eligibility:
  full-text-assessed: 214
  excluded: 191
included:
  studies: 23
  reports: 25

Schematex’s complete DSL additionally records source and exclusion-reason breakdowns, as used in the rendered figure.

A validator should flag contradictions, not silently repair them

If the user reports 1,050 screened records while the identification arithmetic produces 1,036, a renderer has three possible behaviors:

  1. silently trust the reported total;
  2. silently recompute and replace it;
  3. render only after exposing the contradiction.

The third behavior preserves provenance. Silent correction creates a polished diagram that no longer matches the review dataset; silent acceptance creates a polished inconsistency. A useful error should name the two conflicting fields and show the expected equation.

Which official template applies?

The PRISMA Executive publishes templates for new and updated reviews, each with database/register-only and database/register-plus-other-method variants. This worked example uses the latter dual-pipeline form for a new review. An updated review needs the corresponding previous-studies pathway rather than a relabeled new-review figure.

The Schematex PRISMA reference documents the supported modes and vocabulary. The official PRISMA flow-diagram page remains the authority for selecting and citing the reporting template.

References

  1. PRISMA Executive. PRISMA 2020 flow diagram. 2020. https://www.prisma-statement.org/prisma-2020-flow-diagram Accessed August 12, 2026.
  2. Page, M. J.; McKenzie, J. E.; Bossuyt, P. M.; et al.. The PRISMA 2020 statement: an updated guideline for reporting systematic reviews. BMJ 372:n71, 2021. https://doi.org/10.1136/bmj.n71 Accessed August 12, 2026.

Cite this article

Schematex Evidence Lab. “PRISMA 2020 count consistency: a dual-pipeline worked check.” Schematex Research. Version 2026-08-12. Updated August 12, 2026. https://schematex.js.org/research/prisma-2020-count-consistency