Peri‐Implant Response and Microflora in Organ Transplant Patients 1 Year after Prosthetic Loading: A Prospective Controlled Study
Bibliographic record
Abstract
BACKGROUND: A recent study conducted in humans demonstrated for the first time that bone loss in the immediate period after implant insertion before loading did not significantly differ in organ transplant recipients with respect to normal subjects. PURPOSE: The purpose of this study is to evaluate bone and periodontal response and peri-implant microflora in a group of organ-transplanted patients 1 year after prosthetic loading. MATERIALS AND METHODS: The study population included 13 consecutive organ-transplanted (11 hearts, two livers) patients and 13 normal (healthy) control subjects who received 29 and 28 submerged dental implants, respectively. Crestal bone level, peri-implant probing depth (PIPD), and bleeding on probing were evaluated at prosthetic loading and after 1 year. Samples for microbiological testing were taken from the subgingival microbiota of each implant 1 year after loading and analyzed with polymerase chain reaction. All samples were examined for the presence of five microorganisms: Treponema denticola, Porphyromonas gingivalis, Prevotella intermedia, Tannarella forsythensis, and Actinobacillus actinomycetemcomitans. RESULTS: A mean bone loss of 0.17 ± 0.10 and 0.20 ± 0.10 mm at 1 year was observed in the group of transplant recipients and in controls, respectively (N.S.). Similar results were obtained considering PIPD changes at 1 year (respectively 0.06 ± 0.71 mm in transplants vs 0.11 ± 0.74 mm in controls). Detection frequencies of pathogens were not statistically different between normal and transplanted patients. CONCLUSIONS: The present pilot study seems to indicate that bone and periodontal response and microbiological status around submerged dental implants in immunocompromised organ-transplanted patients do not differ 1 year after loading from those observed in control patients and that this particular population of patients may be successfully rehabilitated with dental implants.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".