Bibliographic record
Abstract
Tooth replacement by means of dental implants has been widely adopted. In many clinical situations, it is the preferred option, or the sole solution, to replace missing teeth with a fixed implant supported prothesis. Over four decades, dental implant therapy has evolved significantly and the current state of knowledge is supported by substantial scientific evidence. We have gained understanding of all phases of implant dentistry and implant behavior over years of clinical use. Like in other interventions in healthcare, there are associated complications, development of peri-implant disease being one of the most significant ones in implant dentsitry. This special issue was designed to compile the current state of knowledge on peri-implantitis, with a comprehensive approach that focuses on the physiopathology, predisposing factors, preventions strategies, surgical and chemotherapy treatment approaches, and the role of the abutment/prosthetic design in the development of this disease. The reader will have the opportunity to understand the mechanisms of the peri-implant disease and how the peri-implant tissues are affected by it. The latest information on the regenerative techniques for both soft and hard peri-implant tissues is provided in depth. There is also a broad assessment on peri-implantitis as a multifactorial condition triggered or influenced not only by microorganisms but by an array of factors such as implant type, implant position, peri-implant phenotype, abutment configuration, prosthetic design, occlusion, and all systemic and habitual patient-related factors. The ultimate scope of this compilation of original articles presented by select leaders in the field is to serve the dental profession with an across-the-board analysis of the current state of knowledge on peri-implantitis. Deep understanding of the disease and its pluri-factorial nature could help attune the dental profession to minimizing the incidence of peri-implantitis. By applying treatment strategies and protocols guided by a treatment planning philosophy that encompasses all of the aspects discussed in this special issue, we will be undertaking the initial step toward the prevention of peri-implant diseases. My deepest gratitude to all the authors and co-authors for their dedication to the profession and for sharing their wealth of knowledge for the betterment of our patients.
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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 | 0.006 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.004 | 0.006 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.005 | 0.004 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.003 |
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".