Screw- vs. Cement-retained Implant-supported Prosthesis in Partially Edentulous Patients
Bibliographic record
Abstract
Understanding the morbidity events, incidence, and cost associated with each type of retention system used for implant supported prosthesis will help the clinician in better decision making. This study assessed the clinical and cost-effectiveness of the screw- and cement-retained implant-supported single crown and fixed partial denture for the replacement of teeth in partially edentulous jaws, from a health services perspective. A systematic literature search conducted in 10 databases, complemented by 4 journal databases and International Association for Dental Research abstracts, identified 92 studies on the single crown and 40 studies on the fixed partial denture. Minor and major technical complication events, as well as failure events, were extracted from strong- and medium-quality studies. Studies based on similar designs were pooled with a random-effects Poisson regression model. A decision tree was developed to estimate the cost-effectiveness over a 15-y period posttreatment. The initial and maintenance costs to treat technical complication events were based on an American Dental Association survey of 2011 to 2012. Probabilistic sensitivity analysis was used to examine the uncertainty in the data input parameters. Clinical evidence generated from the meta-analysis suggested no statistical difference between the 2 retention systems. The cost-effectiveness is presented as an incremental cost-effectiveness ratio. The evidence from this report suggests that cement retention is the more cost-effective strategy as compared with screw retention prosthesis. Knowledge Transfer Statement: Evidence generated by this study will help clinicians make an appropriate cost-effective treatment decision in choosing the retention system for partially edentulous 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 | 0.006 | 0.017 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.010 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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".