Subperiosteal Implants: A Lost Art Worth Revisiting?
Bibliographic record
Abstract
BACKGROUND: Subperiosteal implants were commonly used for dentally rehabilitating atrophic maxillae and mandibles in the 1940s-1980s, losing popularity following the introduction of endosseous root-formed osseointegrated implants. RESULTS: Historically, subperiosteal implants had regular complications of hardware exposure, implant mobility, and pain, resulting in the removal of the implant. The transmucosal posts appear to be the primary cause of failure due to bacterial colonization and propagation down the implant substructure. These implants are currently regaining interest due to their applications for dentally rehabilitating patients following an oncological ablation. CONCLUSION: For these implants to return to the dental and maxillofacial industry, contemporary techniques of bone grafting and implant materials should be explored. This review discusses the historical issues with subperiosteal implants and avenues for the improvement of long-term outcomes in the 21st century.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.003 | 0.001 |
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".