Single implant‐supported crowns in the aesthetic zone: patient satisfaction with aesthetic appearance compared with appraisals by laypeople and dentists
Bibliographic record
Abstract
OBJECTIVE: To appraise the patients' satisfaction with aesthetic outcomes following an implant restoration in the anterior maxilla as compared to appraisals made by dentists and laypeople. MATERIAL AND METHODS: Randomly selected patients (n = 116) restored with an implant-retained crown in the anterior maxilla were invited to rate their satisfaction with aesthetic outcomes using a questionnaire containing seven criteria, each graded from excellent to poor. Projected images of the patient smiles were appraised by dentists (n = 8) and laypeople (n = 6) using the same assessment criteria in a room setting. In addition, the laypeople judged the same cases on printed 10 × 15 cm photographs in a separate setting. Jemt papilla scores, pink aesthetic score (PES) and white esthetic score (WES) were assigned by the dentists. Differences in the levels of satisfaction between the patient, and appraisals by the dentists and the laypeople were compared using non-parametric statistical tests. RESULTS: Patients' opinions of their aesthetic appearance following the placement of a single implant-supported crown in the aesthetic zone were in general very favourable. The laypeople were more critical than the dentists when the aesthetic outcomes were appraised on magnified images projected onto a screen. Laypeople became less critical when evaluating the aesthetic outcomes on printed photographs compared to appraisals on a screen. Patient satisfaction with their aesthetic appearance differed from dentists' and laypeople's appraisals. CONCLUSION: Factors other than the actual aesthetic outcome itself appear to influence patients' satisfaction with their end results. Laypeople's appraisal is influenced by the magnification and method used for appraising the aesthetic outcomes.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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".