What Is Dentists’ Role in Modulating Environmental and Epigenetic Determinant in Oral Health of Diabetic Patients?
Bibliographic record
Abstract
Background and Purpose: With the unexpectedly rapid increase in the prevalence of types of diabetes worldwide, this chronic disease is no longer being viewed as a systemic health issue, but also treated as the start of the deadly disease. As the sixth complication of diabetes, periodontitis is a chronic inflammatory condition that leads directly and indirectly to a severer condition of diabetes via its underlying mechanisms. Interestingly, both diseases are not been fully identified in their bidirectional relationships by researchers. Thus, healthcare agencies must pay appropriate attention. This literature review paper aims to investigate and discuss dentists’ role in modulating environmental and epigenetic determinants in the oral health of diabetic patients based on the bidirectional relationship between these diseases, their prevalence and how treatment of one disease affects the other. Methods: The authors conducted electronic searches in PubMed, Google Scholar, One Search UofT, ScienceDirect, and the National Library of Medicine. The paper also included gray literature from government resources related to the topic. The paper will review the epidemiology, pathogenesis, and epigenetics of both diabetes and periodontal disease and their functions with each other. Results: The literature has consistently shown that diabetes and periodontal disease have responded to the formation and severity of each other. Patients with pre- and diabetes have potentially higher risks of causing periodontal disease and other complications if adequate diagnosis and treatment are not involved timely. The combination of risk factors, including individual, social, environmental, and genetic, play a crucial role in the development of diabetes and the severity of periodontitis. Conclusions: Based on the results, the collaboration between dentists and other healthcare practitioners is inevitable in the overall development of treatment for both diseases. With the proper and updated knowledge, dentists can benefit patients’ overall physical conditions through strategic intervention in diabetes patients.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".