Comparing p<scp>atient‐reported</scp> outcomes and experiences among static, dynamic c<scp>omputer‐aided</scp>, and conventional freehand dental implant placement: A randomized clinical trial
Bibliographic record
Abstract
OBJECTIVE: The purpose of this study was to compare patient-reported outcomes and experiences (PROs and PREs) among three techniques of dental implant placement, including (a) conventional freehand, (b) dynamic, and (c) static computer-aided implant surgery (CAIS). MATERIAL AND METHODS: Ninety patients were randomly assigned to have dental implant placed with one of the three protocols. Participants were asked to fill in a series of self-administered questionnaires assessing (1) preoperative expectations, (2) postoperative healing events during the first week after surgery, and (3) experiences and overall satisfaction with the procedures at 2 weeks. Differences within the groups were analyzed by Wilcoxson signed-rank test. Kruskal-Wallis test was used for comparisons among the three groups. RESULTS: Eighty-eight patients completed the study. Patients' expectations on chewing difficulty, the postoperative experience of duration of pain, speaking limitations, and impact on routine activities were significantly different among groups (p = 0.04, 0.01, 0.038, and 0.046, respectively). Overall, patients appeared to significantly underestimate the duration of postoperative pain (p = 0.035) and swelling (p = 0.001). No significant difference in magnitude of postoperative pain, swelling, and painkiller consumption was found among the groups. The short-term functional limitations after surgery were deemed acceptable by most participants and 89% were satisfied by the overall procedure. CONCLUSIONS: Surgical placement of dental implant with conventional freehand, static, and dynamic CAIS techniques did not result in any difference in the level of postoperative pain and swelling, and appeared to lead to equal levels of satisfaction as expressed by the patients postoperatively.
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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 | 0.004 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.003 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".