@article{Wang2026, 
author = {Moxu Wang and Zhi Wang and Chengqi Xu},
title = {The omics translational gap: a large language model-augmented landscape analysis of systemic endpoints in periodontal clinical trials (2016–2026)},
year = {2026},
journal = {Oral Science and Homeostatic Medicine},
volume = {2},
number = {2},
pages = {9610060},
keywords = {periodontitis, clinical trials, omics, large language model, translational gap},
url = {https://www.sciopen.com/article/10.26599/OSHM.2026.9610060},
doi = {10.26599/OSHM.2026.9610060},
abstract = {Substantial evidence has linked the oral microbiome to various systemic diseases, but it remains unclear whether periodontal clinical trials have incorporated omics-level or systemic endpoints. We conducted a dual-modality analysis covering January 2016 to January 2026, including 2,031 Web of Science records and 1,199 interventional periodontal trials from ClinicalTrials.gov. Trial endpoints were classified into three hierarchical tiers using a standardized schema: microbiome/omics, systemic biomarkers, and local clinical parameters. The results showed that although annual publication volume on the oral-systemic axis increased approximately 7-fold, 87.2% of trials still used only local clinical endpoints, only 11.5% included systemic biomarkers, and only 1.3% included microbiome/omics endpoints, with no increase over the decade. Thus, despite substantial research growth, the endpoint structure of periodontal trials has remained largely unchanged, revealing a significant translational gap. Future trials should consider incorporating composite microbial endpoints and biobanking.}
}