Peri‐implant soft tissue status and crestal bone levels around adjacent implants placed in patients with and without type‐2 diabetes mellitus: 6 years follow‐up results
Bibliographic record
Abstract
BACKGROUND: The long-term success and survival of dental implants type-2 diabetic subjects is debatable. PURPOSE: The present 6 years' follow-up prospective clinical study compared the peri-implant soft tissue status and crestal bone loss (CBL) around adjacent implants placed among type-2 diabetic and nondiabetic subjects. MATERIALS AND METHODS: Type-2 diabetic (Group-1) and nondiabetic individuals (Group-2) with adjacent dental implants were included. Hemoglobin A1c (HbA1c) levels were recorded; and a questionnaire was used to collect demographic information. Information regarding implant dimensions, duration in function, loading protocol, and type of restoration was recorded. Peri-implant bleeding-on-probing (BOP), plaque index (PI), probing depth (PD), and mesial and distal CBL were measured. P < .05 were considered statistically significant. RESULTS: Eighty-six male participants (44 in Group-1 and 42 in Group-2) were included. The mean age of individuals in groups 1 and 2 were 57.6 ± 5.5 and 61.6 ± 4.3 years, respectively. In Group-1, the mean duration of type-2 diabetes was 10.1 ± 3.5 years. A family history of diabetes was more often reported by individuals in Group-1 than Group-2. In groups 1 and 2, 44 and 42 pairs of adjacent implants, respectively were placed in the regions of missing premolars and molars in both arches. All implants were delayed loaded and were fixed with non-splinted screw-retained restorations. In groups 1 and 2, tooth-brushing twice daily was reported by 79.5% and 85.7% individuals, respectively. There was no difference in peri-implant PI, BOP, PD, mesial and distal CBL and HbA1c levels among individuals in groups 1 and 2. CONCLUSION: Adjacent implants can remain esthetically and functionally stable in type 2 diabetic patients in a manner similar to healthy individuals provided glycemic levels are strictly controlled and maintained.
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".