Clinical performance of tooth implant–supported removable partial dentures: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVE: To assess the clinical performance of tooth implant-supported removable partial dentures in terms of abutment survival in relation to the attachment system used. METHODS: An electronic search in MEDLINE/PubMed Web of Science and Cochrane Central Register of Controlled Trials databases was performed. The methodological quality of the studies was assessed using the Newcastle-Ottawa Scale. Survival rates after 3 years and 5 years, loss, and complication rates per 100 years were estimated by Poisson regression. RESULTS: A total of twelve studies were included; eleven studies were used for the meta-analysis. Survival analysis for mixed attachments showed an estimated survival rate of 100% after 3 years and 5 years. For uniform attachments, the estimated survival rate was 99.3% after 3 years and 98.8% after 5 years. Tooth abutment survival analysis for mixed attachments estimated a survival rate of 95% after 3 years and 91.7% after 5 years: Uniform attachments reached a survival rate of 97.2% after 3 years and 95.4% after 5 years. The prosthetic survival rate was 100% for mixed and uniform abutments after 3 years and 5 years of function. CONCLUSIONS: Tooth implant-supported removable partial dentures can be considered as a reliable option with excellent prosthetic and implant survival rates and favorable rates for the abutments after 3-year and 5-year follow-ups. Complications may be reduced when 5 or more abutments are used. CLINICAL RELEVANCE: Tooth implant-supported removable partial dentures are a favorable and potential alternative to restore a partially edentulous arch by optimizing the number and distribution of abutments.
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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 | 0.013 | 0.027 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.019 | 0.033 |
| Bibliometrics | 0.008 | 0.008 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".