Evaluating Compliance of Randomized Controlled Trial Abstracts in Plastic Surgery Journals with CONSORT Guidelines Using GPT-4 AI
Our study's innovative use of the GPT-4 AI model for analysis demonstrated the potential of AI technology in streamlining and enhancing the evaluation of research compliance. We advocate for heightened awareness and more rigorous application of CONSORT guidelines among authors, reviewers, and journal editors. Emphasizing the role of AI technology in the evaluative process can further improve the reporting quality of future RCTs in plastic surgery, contributing to more reliable and transparent research in the field.
Authors
- Dana Waleed Alkuwaity
- Amro Hajja
- Hussain Alobaidi
- Eman N. Chaudhri (ORCID: https://orcid.org/0000-0003-3162-5655)
- Adnan G. Gelidan
- Abdullah A. Al Qurashi (ORCID: https://orcid.org/0000-0001-8999-140X)
- Ibrahim R. Halawani (ORCID: https://orcid.org/0009-0004-7098-4065)
- Adnan M. Osama Al Dwehji
- Hala Abdullah Almusa
- Ruba Ibrahim Alharbi
- Ghazi F. Alabdul Razzak
- Alanoud Hammam Asaad
Institutions
- Alfaisal University (SA)
- King Abdulaziz University (SA)
- King Saud bin Abdulaziz University for Health Sciences (SA)
- King Saud University (SA)
- King Abdullah International Medical Research Center (SA)
- Batterjee Medical College
- King Faisal University (SA)
Publication Details
- Journal
- Plastic & Reconstructive Surgery Global Open
- Published
- 2024-10-01
- DOI
- https://doi.org/10.1097/gox.0000000000006227
- Citations
- 3
- Primary Topic
- Meta-analysis and systematic reviews
- Type
- article
- Field-Weighted Citation Impact
- 1.38