Long-term stability of retreated defective restorations in patients with vertical food impaction
Bibliographic record
Abstract
BACKGROUND: Vertical food impaction (VFI) is a common complaint among patients receiving interproximal restorations. However, there is a gap in the literature regarding outcomes of treating defective restorations with VFI. This study sought to determine 10-year stability of retreated defective restorations in patients diagnosed with VFI. MATERIALS AND METHODS: A total of 150 teeth (75 pair), in 38 patients comprised our study population. All the participants had been diagnosed with VFI due to faulty restorations and treated by means of redoing the restoration to build a stable contact in at least one restored tooth. The criteria for building an optimum dental contact were defined. Demographic characteristics, date and frequency of redoing the restoration, type and material of restoration, number of restored surfaces, occlusal intercuspal relationship, missing adjacent and/or opposing teeth, cemento enamel junction to alveolar crest distance, recurrence of VFI symptoms, recurrent caries, and periapical pathology as well as periodontal variables were recorded. RESULTS: Kaplan-Meier estimator revealed that the mean ± standard deviation of 1, 3, 5, and 10-year stability of reconstructed contacts was 89/2% ± 3/6%, 79/2% ± 5%, 70/7% ± 0/06%, and 66/3% ± 7/1%, respectively. The overall cumulative stability rate was 74/4%. Further analysis predicted that over a 12-year period, restored contacts were stable for 8.86 ± 0.6 years. Cox regression model indicated that having cusp to marginal ridge occlusal relationship (95% confidence interval [CI] for hazard risk (HR) = 1/1-13/9, HR = 3/93), and being over 40 years of age (95% CI for HR = 0/88-17/66, HR = 3/95) were major determinants of contact stability. CONCLUSIONS: Long-term stability of retreated and restructured tooth contacts with a history of VFI was 66%-89% in this specific sample.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 teacher head, 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".