Implant rehabilitation of the esthetic area: A five‐year retrospective study comparing conventional and fully guided surgery
Bibliographic record
Abstract
INTRODUCTION: To compare the clinical outcomes of anterior single maxillary implants placed using conventional or guided implant surgery. METHODS: In this retrospective clinical study 44 patients rehabilitated with a single anterior implant in the maxillary arch were included. Twenty-four implants were inserted applying a guided surgery approach (GS), and 20 applying a conventional freehand approach (CS). Outcome measures were: implant survival rate and complications; mean bone level (MBL) evaluated at surgery (T0), after 6 weeks (6 W), and after 1 year (1Y), 2 years (2Y), 3 years (3Y), 4 years (4Y), and 5 years (5Y); patients' satisfaction evaluated through a questionnaire filled out before surgery (BS) and at 1 week, 6 W, 2Y and 5Y; Pink esthetic score (PES) and white esthetic score (WES) evaluated at 1Y, 3Y and 5 Y. Significance of differences between groups were tested by Fisher's exact test, Mann-Whitney U test, and Wilcoxon's signed rank test. RESULTS: During the 5-year follow-up there were no drop-outs and no implant failed. No significant differences between groups were found in MBL. A significant difference between groups was found in VAS scores regarding speech at 2 years, aesthetics at 6 weeks, confidence at 1 week and 6 weeks, satisfaction at T0 and at 1 W, pain/comfort at 1 W and at 6 W; all VAS scores resulted significantly improved compared to baseline. No significant differences in WES were found, while significant differences in PES scores between CS and GS groups were found at 3 and 5 years (p value = 0.023 and 0.004 respectively) with better outcomes for GS. A significant difference over time was found in PES between 5-year and one-year values. CONCLUSIONS: Guided surgery and conventional surgery implants did not show any difference in MBL during the 5-year observation period. Guided surgical procedure guarantee optimal esthetic outcome and seems able to guarantee better soft tissue result over time, even though more long-term studies are necessary to confirm this data.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".