Factors influencing the response to periodontal therapy in patients with diabetes: post hoc analysis of a randomized clinical trial using machine learning
The combination of nine baseline periodontal, metabolic, and demographic factors from patients with periodontitis and type 2 DM may indicate the response to periodontal therapy. Lower levels of full mouth PD, CAL, plaque index, and HbA1c at baseline increased the chances of achieving the endpoint for treatment at 6-month follow-up. However, all nine features included in the model should be considered for treatment outcome predictability. Clinicians may consider the characterization of periodontal therapy response to implement personalized care and treatment decision-making. Clinical trial registration ID: NCT02800252.
Authors
- Nídia C. Castro dos Santos (ORCID: https://orcid.org/0000-0003-2041-9426)
- Thomas E. Van Dyke (ORCID: https://orcid.org/0000-0003-0568-124X)
- Rafael Nascimento de Brito Silva (ORCID: https://orcid.org/0000-0002-3863-7790)
- Magda Feres (ORCID: https://orcid.org/0000-0002-2293-3392)
- Ana Carolina Lorena (ORCID: https://orcid.org/0000-0002-6140-571X)
- Mauro Pedrine Santamaría (ORCID: https://orcid.org/0000-0001-9468-0729)
- Arthur Dantas Mangussi (ORCID: https://orcid.org/0000-0003-2086-532X)
- T. P. Ribeiro
Institutions
- Instituto Tecnológico de Aeronáutica (BR)
- American Dental Association (US)
- Hospital Israelita Albert Einstein (BR)
- Guarulhos University (BR)
- Universidade Paulista (BR)
- Universidade Estadual Paulista (Unesp) (BR)
Publication Details
- Journal
- Journal of Applied Oral Science
- Published
- 2025-01-01
- DOI
- https://doi.org/10.1590/1678-7757-2025-0211
- Citations
- 3
- Primary Topic
- Oral microbiology and periodontitis research
- Type
- article
- Field-Weighted Citation Impact
- 4.40
Funders
- Fundação de Amparo à Pesquisa do Estado de São Paulo