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Create a science illustration with AI. Refine drawings, build editable diagrams, and convert images to SVG.

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MIT
MIT
Imperial College London
Imperial College London
University of Oxford
University of Oxford
Harvard University
Harvard University
ETH Zurich
ETH Zurich
National University of Singapore
National University of Singapore
UCL
UCL
Peking University
Peking University
Nanyang Technological University
Nanyang Technological University
Tsinghua University
Tsinghua University
Princeton University
Princeton University
EPFL
EPFL
IIT Madras
IIT Madras
Shanghai Jiao Tong University
Shanghai Jiao Tong University
Technical University of Munich
Technical University of Munich
Australian National University
Australian National University
Fudan University
Fudan University
Seoul National University
Seoul National University
Columbia University
Columbia University
Monash University
Monash University
University of Tokyo
University of Tokyo
King's College London
King's College London
New York University
New York University
Zhejiang University
Zhejiang University

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Tool overview

Explore the use cases, workflow, and key things to know.

Report what happened

Counts should come from eligibility, allocation and follow-up records. A template is not evidence that the trial followed that sequence.

Separate follow-up from analysis

An intention-to-treat strategy may retain participants with missing follow-up using an appropriate stated method. Do not subtract losses automatically.

Choose the correct guideline

A simple two-arm parallel trial is only one design. Consult current CONSORT guidance and relevant extensions for other designs.

Check participant count arithmetic

Enter counts from a two-arm parallel randomized trial. This checks arithmetic only; it does not validate trial conduct or CONSORT compliance.

Local checker · no information is uploaded

These counts pass the arithmetic checks. Verify reasons, denominators and the analysis population against your trial records.

Analyzed is not automatically allocated minus lost to follow-up. An intention-to-treat analysis can include participants with missing outcomes using a stated method. Describe that method and any exclusions.

Concept reference

CONSORT Flow Diagram: a worked example

The fictional example assesses 120 people, excludes 20 and randomizes 100 into two arms of 50. Follow-up losses are shown separately; analysis retains all 50 randomized participants per arm under an explicitly stated missing-data approach. These are teaching counts, not a real trial.

Fictional two-arm CONSORT diagram with 120 assessed 20 excluded 100 randomized and two allocation groups of 50
Original AI-generated consort flow diagram reference commissioned by AcaDraw. Fictional two-arm trial counts; not research findings or evidence of compliance.

CONSORT Flow Diagram reference key

Use the reference and definitions together. On a small screen, scroll the table horizontally.

ElementMeaningReview check
EnrollmentAssessed and excluded before randomizationExplain exclusions and reconcile assessed minus excluded with randomized.
RandomizationParticipants assigned to trial armsCheck that allocated totals equal the randomized population.
AllocationParticipants allocated to each interventionReport receipt of intervention and reasons for nonreceipt where relevant.
Follow-upLosses and discontinuations by armFollow-up loss does not automatically mean exclusion from analysis.
AnalysisParticipants included in each defined analysisState the population, exclusions and missing-data methods.

Plan your consort flow diagram

Keep participant flow separate from trial outcomes, and distinguish follow-up status from analysis membership.

Report what happened

Counts should come from eligibility, allocation and follow-up records. A template is not evidence that the trial followed that sequence.

Separate follow-up from analysis

An intention-to-treat strategy may retain participants with missing follow-up using an appropriate stated method. Do not subtract losses automatically.

Choose the correct guideline

A simple two-arm parallel trial is only one design. Consult current CONSORT guidance and relevant extensions for other designs.

Common mistakes to avoid

Arms that do not add up

Allocated counts should reconcile with randomized participants under the stated design.

Lost equals excluded

Participants lost to follow-up may still belong in a defined analysis population.

Template treated as compliance

A flow diagram alone does not establish reporting completeness, trial quality or guideline compliance.

CONSORT Flow Diagram Generator: from brief to checked draft

Reading the reference is free. Generating a new draft requires an account and available credits. See current pricing.

Choose Science Drawing for an illustrated draft, or Editable Diagram for separate shapes and labels. Review all definitions, labels and connections before sharing.

  1. 1

    Confirm the trial design

    Choose the applicable guideline and collect verified participant counts.

  2. 2

    Check counts and reasons

    Reconcile enrollment and allocation, then document follow-up and analysis separately.

  3. 3

    Draft the flow diagram

    Generate the layout and compare every box with the trial records and reporting checklist.

A prompt you can adapt

Create an editable flow diagram for a fictional two-arm parallel trial: assessed 120, excluded 20, randomized 100, allocated 50 to A and 50 to B. Show follow-up losses of 3 and 2 separately. Analyze all 50 in each arm with a placeholder for the stated missing-data method. Label the example fictional and do not invent trial outcomes.

Use this prompt in the generator

CONSORT Flow Diagram FAQ

What does a CONSORT flow diagram show?

It summarizes participant progress through enrollment, allocation, follow-up and analysis in a randomized trial.

Is it the same as a PRISMA flow diagram?

No. CONSORT follows trial participants; PRISMA describes identification and selection of reports for a systematic review.

Should follow-up losses be subtracted from analysis?

Not automatically. The analysis population and missing-data method determine how participants are handled. Explain them explicitly.

Does the count checker validate my trial?

No. It checks a few arithmetic relationships only, not protocol adherence, missing-data validity or CONSORT compliance.

Sources and editorial notes

Prepared by the AcaDraw product team. Source and diagram check: . This is a simplified educational model; independent expert review has not been completed. AI-generated drafts need checking against reliable references.