Failure Rate of Dental Implants in the Esthetic Zone: A Systematic Review and Meta-Analysis
Bibliographic record
Abstract
The present systematic review and meta-analysis has systematically reviewed and analyzed dental implant failure for the implants placed in the esthetic zone. An electronic database search was performed in PubMed and ScienceDirect, including a manual search through the references using appropriate keywords and the PICO (population, intervention, control, and outcomes) format for the inclusion criteria. A total of 11 relevant articles were included. The quality of the randomized controlled trial (RCT) studies was assessed using the Cochrane Risk of Bias tool while the quality of non-randomized studies was assessed using the Newcastle Ottawa scale. Of the 11 articles included, 5 were RCTs, and 6 were non-randomized. The overall failure rate was found to be 2% (95% CI; 0.00-0.03%). The percentage marginal bone loss was estimated to be 1% (95% CI; 0.00 - 0.02%) and the mean and proportion pink esthetic scores were approximately 11.75 (0.43%) with 2% mid-facial soft tissue recession and the mesial and distal papillary recession was 0.02% and 0.01%, respectively. Based on this systematic review and meta-analysis, the rate of dental implant failure for implant placement in the esthetic zone was minimal. In addition, 1% proportional marginal bone loss and moderately high esthetic scores were found.
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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 | 0.018 | 0.034 |
| Meta-epidemiology (narrow) | 0.003 | 0.002 |
| Meta-epidemiology (broad) | 0.018 | 0.031 |
| Bibliometrics | 0.011 | 0.009 |
| 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".