Predictors of Satisfaction with Dentures in a Cohort of Individuals Wearing Old Dentures: Functional Quality or Patient‐Reported Measures?
Why this work is in the frame
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Bibliographic record
Abstract
PURPOSE: To examine the extent to which denture satisfaction can be determined by a measure of the denture's functional quality and by patient-reported measures. MATERIALS AND METHODS: This study used data obtained from 117 edentulous individuals with a mean age of 73.7 (SD = 5.6) years in southern Brazil. The edentulous individuals rated their levels of general satisfaction with their actual dentures, using a visual analog scale. Explanatory variables included the individual's information about ability to chew, ability to speak, esthetics, and sociodemographic factors. The dentures were evaluated using the validated 9-item Functional Assessment of Dentures instrument. Bivariate statistical analyses and Poisson regression models (prevalence ratio [PR]; 95% CI; p < 0.05) were used to test the association of explanatory variables with patients' general satisfaction with their complete dentures. RESULTS: There was a statistically significant association between patients' general satisfaction and stability of maxillary (rocking movement) (adjusted PR = 1.28; 95% CI: 1.07-1.52) and mandibular dentures (occlusal displacement) (adjusted PR = 1.68; 95% CI: 1.16-2.43), masticatory ability (adjusted PR = 1.54; 95% CI: 1.08-2.19), and the age of the mandibular denture (adjusted PR = 1.47; 95% CI: 1.10-1.97). CONCLUSIONS: The results of this study indicated that measures of denture stability, masticatory ability, and age of dentures appeared to be determinants of patients' satisfaction with dentures.
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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 | 0.002 | 0.001 |
| 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 it