Comparison of postinsertion adjustments between conventional and immediate complete dentures and their association with denture survival
Bibliographic record
Abstract
STATEMENT OF PROBLEM: Patient satisfaction with complete dentures has been linked to the number of postinsertion adjustments. However, evidence on the number of postinsertion appointments and adjustments and their link to denture survival is limited. PURPOSE: The purpose of this retrospective clinical study was to compare patient demographics, the number of postinsertion appointments and types of adjustments between conventional and immediate complete dentures and their association with denture survival 5 years after insertion of the prosthesis. MATERIAL AND METHODS: The records of patients at a university clinic for whom standard and immediate conventional complete dentures were inserted between 2013 and 2015 and followed up for 5 years were examined. The outcome variables included postinsertion appointments, types of major and minor adjustments, and denture survival. Statistical analyses included descriptive statistics for data summarization and chi-squared and Fisher exact tests for categorical variables. Survival analysis (Kaplan-Meier, Cox regression) and logistic regression (simple, multivariable) assessed denture failure risks, while Poisson regression evaluated numerical outcomes (α=.05). RESULTS: The study comprised 246 participants with 195 standard and 113 immediate dentures. There were 135 (54.9%) men, 111 (45.1%) women, with a mean ±standard deviation age of 66.80 ±11.86 years with no significant differences between sexes. Twenty-five dentures failed, representing a failure rate of 8.1%. (Kaplan Meier estimated failure-free time mean=4.39 years with 95% confidence interval 4.16 to 4.61 years). Immediate dentures had a significantly higher failure rate (n=15, 13.3%) compared with standard dentures (n=10, 5.1%), Fisher exact P=.016, and were associated with significantly more postinsertion appointments compared with nonfailed dentures (OR=1.49, 95% CI 1.12 to 1.99, P=.007). The mean number of postinsertion appointments for all dentures was 4.07, median=3; the majority of participants (68.8%) had no major and 68.8% had 4 or fewer minor adjustments. Immediate dentures in general were associated with more postinsertion appointments (Poisson regression, P<.001) with minor (P<.001) and major adjustments, (P<.001) compared with standard dentures. Immediate dentures were separately associated with more minor (multiple Poisson regression), (P<.001) and major adjustments (P=.001) compared with standard dentures. Participants with cardiovascular disorders (mean=0.63) had significantly more major adjustments than those with other medical conditions (mean=0.38), P=.022). CONCLUSIONS: The 5-year survival rate for complete dentures was 91.9%. Immediate dentures had a higher failure rate and required more appointments and adjustments than standard complete dentures.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".