The Influence of Diabetes on Orthodontic Treatment: A Systematic Review of the Clinical Considerations and Challenges in Response
Bibliographic record
Abstract
Background/Objectives: Diabetes mellitus is defined as a group of metabolic diseases characterized by chronically elevated blood glucose levels. This condition influences the course of orthodontic treatment, as it affects various clinical aspects of the patient that must be taken into consideration prior to initiation. Therefore, achieving adequate control and management of diabetic patients undergoing orthodontic therapy is essential. This article presents a qualitative synthesis of studies addressing how diabetes affects orthodontic treatments, emphasizing the importance of understanding the necessary considerations prior to initiating treatment and how to manage potential complications. Methods: This systematic review was conducted in accordance with the PRISMA (Preferred Reporting Items for Systematic Reviews and Meta-Analyses) guidelines. A database search was performed on 5 May 2025, in PubMed, Scopus, Scielo, and The Cochrane Library, using terms related to “diabetes mellitus” and “orthodontic treatments”. Studies meeting the search criteria were included, particularly those that were published in the past ten years and reported on the influence of diabetes on orthodontic treatment. The quality of the case–control studies was assessed using the Newcastle–Ottawa Scale (NOS); for cross-sectional studies, the Joanna Briggs Institute (JBI) critical appraisal checklist was used; and for experimental studies, the SYRCLE’s Risk of Bias Tool was applied. Results: Fourteen studies ultimately met the inclusion criteria. The evidence showed that diabetes increases gingival bleeding due to elevated levels of advanced glycation end-products (AGEs) and pro-inflammatory cytokines; reduces the efficiency of tooth movement; increases root resorption and affects bone remodeling; and compromises both periodontal and pulpal responses, thereby hindering tissue regeneration. It was also observed that the use of insulin or antidiabetic agents such as metformin may partially mitigate these adverse effects. Conclusions: This systematic review reveals a clear relationship between diabetes and various clinical aspects that influence the progression of orthodontic treatments. Nonetheless, further studies are needed to better understand the impact of this systemic condition on dental treatment outcomes.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.017 | 0.069 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.008 | 0.009 |
| Bibliometrics | 0.009 | 0.012 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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 source (direct Gemma or distilled Codex), 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".