Patient satisfaction versus retention of implant overdentures with two attachment systems: A randomized trial
Bibliographic record
Abstract
BACKGROUND: Clinical success with mandibular implant overdentures is highly dependent on a reliable attachment system connecting prosthesis and implants. PURPOSE: To compare the levels of retention and patient-based outcomes on implant overdentures retained/supported by cylindrical (LA) and ball (RA) attachment systems overtime and investigate their relationship. MATERIALS AND METHODS: Attachment retention (Newtons), and patient satisfaction with the treatment, prosthesis stability, and ability to chew (VAS, 100 mm) were assessed in a crossover trial for both attachment systems at baseline, 1 week, 3, 6, and 12 months and compared to preintervention values. Patients' preference was also recorded. RESULTS: Mean retention of worn attachments and patient satisfaction with denture retention assessed in the preintervention phase were 3.2 N (SD 4.9) and 23.5 mm (IQR 6.5-65.5), respectively. Overall mean retention along the study was higher for RA than LA (difference of 5.0 N, 95%CI: 2.5-7.6; P = 0.0005), declining significantly overtime (P < 0.0001), more steeply for the cylindrical attachment. Differences in VAS ratings between attachments were nonsignificant in the crossover phase (P > 0.05), but general satisfaction, satisfaction with retention, and comfort were significantly higher when compared with preintervention scores (P < 0.05). Ratings of retention decreased significantly overtime for both systems and earlier for LA than RA. Satisfaction was lower when retention was either too low or too high, although there was large variation in this association. At the end of the study, all participants chose to remain with the attachment system that they had received last. CONCLUSIONS: Attachment selection should be based on patients' individual characteristics and expectations as satisfaction with the attachment retention and denture stability vary largely among 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 | 0.007 | 0.008 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.005 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.004 | 0.004 |
| Insufficient payload (model declined to judge) | 0.010 | 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".