Oral Health-related Quality of Life of Children with Early Childhood Caries before and after Receiving Complete Oral Rehabilitation under General Anesthesia
Bibliographic record
Abstract
Introduction: Early childhood caries (ECC) significantly affects the quality of life of children due to recurrent pain, infection, and other associated problems. Aim and objective: To assess the change in oral health-related quality of life of children aged <5 years undergoing complete oral rehabilitation under general anesthesia. Materials and methods: A total of 50 healthy children affected with ECC were enrolled for the present study. Oral health-related quality of life (OHRQoL) of every child was assessed by interviewing the mothers using a prevalidated Early Childhood Oral Health Impact Scale (ECOHIS) questionnaire one day prior to the treatment appointment and comparing the scores with those at 1 and 3 months post-treatment to evaluate the changes in the OHRQoL, if any and assess the stability of the changes. Results: The oral health-related quality of life showed a significant improvement after complete oral rehabilitation under general anesthesia and the improvement persisted beyond the immediate post-treatment period. How to cite this article: Oral Health-related Quality of Life of Children with Early Childhood Caries before and after Receiving Complete Oral Rehabilitation under General Anesthesia. Int J Clin Pediatr Dent 2021;14(S-2):S117-S123.
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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 | 0.000 | 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) | 0.001 | 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 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".