Association of advanced glycation end products with peri‐implant inflammation in prediabetes and type 2 diabetes mellitus patients
Bibliographic record
Abstract
BACKGROUND: It is postulated that peri-implant sulcular fluid (PISF) levels of advanced glycation end products (AGEs) are higher with high glycemic levels. PURPOSE: In the present clinico-biochemical study, we explored the clinical and radiographic peri-implant parameters and levels of AGEs among prediabetic, type 2 diabetic (T2DM), and non-diabetic patients and to evaluate the correlation of AGEs with clinical peri-implant parameters. MATERIALS AND METHODS: Ninety patients were divided into three groups of 30 patients each; group 1: patients with prediabetes; group 2: patients with T2DM; and group 3: non-diabetic individuals. Clinical and radiographic peri-implant parameters assessed included plaque index (PI), bleeding on probing (BOP), probing depth (PD), and marginal bone loss (MBL). PISF was collected and analyzed for AGEs levels using enzyme-linked immunosorbent assay. Between-group comparison of means was verified with Kruskal-Wallis test and Pearson correlation coefficient for correlations of AGE levels with peri-implant parameters. RESULTS: Mean peri-implant PI, BOP, PD, and MBL was significantly higher in group 1 and 2 as compared with non-diabetic patients (P < .05). Mean PI, BOP, PD, and MBL were comparable between group 1 and group 2 patients (P > .05). Mean levels of AGEs in PISF were significantly higher among prediabetic and T2DM patients as compared with non-diabetic patients (P < .05). Between group 1 and group 2, mean levels of AGEs was significantly higher in group 2 (P < .05). A significant positive correlations were found between levels of AGEs and PD (P = .0371) and MBL (P = .0117) in T2DM patients, respectively. CONCLUSION: Clinical and radiographic peri-implant parameters were worse and levels of AGEs in PISF were increased in individuals with prediabetes and T2DM. AGEs may play an important role in peri-implant inflammation in prediabetes and T2DM.
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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 | 0.002 | 0.003 |
| 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".