CONSORT_GPT-CONSORT Compliance Analysis

Example

Item 6a requires a completely defined prespecified primary and secondary outcome measures. CONSORT_GPT can verify if an article clearly outlines these measures and suggest improvements if the descriptions are not sufficiently detailed.

Scenario

When authors prepare their manuscript for submission, they can use CONSORT_GPT to ensure that their article complies with the critical aspects of trial reporting, such as the clarity and completeness of their outcome measures.

Example

For Item 14a, concerning the dates defining the periods of recruitment and follow-up, CONSORT_GPT can identify if this information is missing or incomplete and recommend how to accurately include it.

Scenario

Before finalizing their manuscript, a research group can use CONSORT_GPT to review the draft for any missing or inadequately reported information, such as recruitment periods, to enhance the article's quality and adherence to CONSORT guidelines.

Example

If an article's Discussion section lacks a balanced interpretation of results as required by Item 22, CONSORT_GPT can highlight this issue and suggest ways to improve the discussion to align with CONSORT standards.

Scenario

After receiving peer review comments, authors can employ CONSORT_GPT to address specific concerns about their discussion of trial results, ensuring a balanced and comprehensive interpretation in line with the CONSORT guidelines.