Assessment of Knowledge and Practices about Denture Hygiene among Complete Denture Wearers in Lahore City
Bibliographic record
Abstract
OBJECTIVE:The aim of this study was to determine the level of awareness about knowledge and practices of complete denture hygiene in a tertiary care dental hospital of Lahore.METHODOLGY: A descriptive, cross-sectional study was conducted in the Department of Prosthodontics, Punjab Dental Hospital/de'Montmorency College of Dentistry, Lahore.A total of 150 patients were included in the study.All patients were selected randomly who were seeking treatment from this tertiary care dental hospital.The questionnaire included data about gender, age, duration of prosthesis use, cleaning methods and materials etc.The collected data was analyzed using SPSS version 20.0.Chi-square test of significance was applied for statistical analysis with a significance level of 5% (p=0.05). RESULTS:The results showed that 49 (32.7%)subjects were wearing the same prosthesis for more than 5 years.Data analysis showed that 44 out of 150 subjects (29.3%) normally slept with their prosthesis in mouth.86 patients (57.3%) told that they were given only verbal instructions about methods of cleaning while 64 (42.7%) were not even told or shown any method of cleaning of denture by dentist.It was observed that 63 individuals (42%) believe that denture can last from 5-10 years.CONCLUSIONS: Within the limitations of this study, it was concluded that complete denture wearers had limited awareness of denture hygiene and oral care despite using dentures for long time.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".