ArticleOrthopaedic journal of sports medicine2025
Large Language Model-Based Writing in Published Sports Medicine Research: Uncovering a Growing Influence.
Article in Orthopaedic journal of sports medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Evolution of Artificial Intelligence Adoption inOrthopaedic journal of sports medicine · 2026Article
- Generative artificial intelligence and large language models in sports medicine: a scoping review of applications, accuracy, and ethical implications.Frontiers in public health · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background: In the past few years, there has been an increase in the use of artificial intelligence (AI)-based large language models, including ChatGPT, in scientific research. This has shown promise in its ability to draft high-quality articles; however, there has been concerns regarding its ethical use in generating original research. Purpose/Hypothesis: The purpose of this study was to quantify the percentage of AI use in articles that were published in major sports medicine journals before and after the release of ChatGPT. It was hypothesized that AI use has changed and increased over time. Study Design: Cross-sectional study. Methods: All articles that were published from 2023 to 2024 in the 5 sports medicine journals with the highest impact factors were identified ( Results: Among the 3596 articles published after the release of ChatGPT and included in this study, 3.28% exceeded the established threshold. Moreover, Conclusion: AI use in sports medicine research remains low but is steadily rising. Editorial policies allowing AI usage may, in turn, perpetuate its use in published sports medicine articles.
Indexed as
Identifiers
What Socratic holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.