Causative Factors of Tooth Wear among Patients Visiting a Tertiary Care Hospital in Lahore
Bibliographic record
Abstract
Background: Tooth wear, or as it is also often referred to as non-carious tooth surface loss (TSL), can be described simply as ‘the pathological non-carious loss of tooth tissue’. Tooth wear is often multifactorial in nature, making clinical diagnosis difficult. Identification of the etiology is essential for the successful management of the pathology. Methods: A total of 120 patients of both male and female with tooth wear were selected from dental OPD. Patients with age group 25-65years with tooth wear in at least two teeth according to basic erosive wear examination (BEWE) were included. Questionnaire covering primary risk factors that might cause tooth wear was used Data was analyzed using SPSS version 24.0. Results: Out of the 120 tooth wear patients, 69(57%) were male and 51(43%) were females. tooth wear presented more in males as compared to females. 42.24% patients reported with habit of tea consumption and 32.5% with cold drinks. 45% males and 43.4% females had gastric reflex disease. 60.9% male patients had problem of bruxism and clenching. Conclusion: This study reported that TSL has a multifactorial etiology. Parafunction, gastro esophageal reflux disease (GORD) and consumption of carbonated drinks were the most commonly observed causative factors. Keywords: Tooth wear, Erosion, Abrasion, Attrition, Causative factor
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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) | 0.001 | 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".