Bone loss in the anterior edentulous maxilla opposing two-implant-supported overdentures vs complete dentures: a systematic review and meta-analysis.
Bibliographic record
Abstract
OBJECTIVE: To investigate bone loss in the anterior edentulous maxilla restored with maxillary complete dentures and opposed by mandibular two-implant-supported overdentures (2-IODs) or complete dentures. METHOD AND MATERIALS: A systematic search was conducted using the Ovid MEDLINE, Embase, Web of Science, CINAHL, and Cochrane databases for studies investigating bone loss in the anterior edentulous maxilla with mandibular 2-IODs or complete dentures. Two reviewers assessed the eligibility of studies and risk of bias assessment was conducted according to the Newcastle-Ottawa Scale. A meta-analysis was performed using statistical software to estimate weighted mean difference in bone loss with 95% confidence interval (CI). The level of significance was defined as P value (< .05). RESULTS: A total of 2,510 studies were identified through electronic and manual searching. Six studies were selected and compounded for quantitative synthesis of 163 patients. Bone loss in the anterior edentulous maxilla was greater with 2-IODs than with complete dentures. The total estimate of weighted mean difference between 2-IODs and complete dentures was -1.40 (95% CI -3.12 to 0.31). However, the difference was not statistically significant (P = .11). The data were heterogenous across the studies based on chi-square statistics (χ2 [df = 7] = 52.75, P < .0001; τ2 = 5.53, I2 = 95.21%). In addition, the impact of implant splinting on bone loss was not significant (P > .29). None of the included studies were considered to be at high risk of bias. CONCLUSION: Within the limitations of the current systematic review and meta-analysis, the estimate of bone loss in the anterior edentulous maxilla was greater with 2-IODs than with complete dentures. However, the difference was not statistically significant. A well-designed randomized clinical study needs to be conducted to validate the results of this systematic review.
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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 | 0.010 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.017 | 0.027 |
| Bibliometrics | 0.006 | 0.005 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| 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".