2149. Risk of dental abnormalities after tetracycline exposure in children: A retrospective, population-based study in Korea, 2003-2015
Bibliographic record
Abstract
Abstract Background Despite its clinical usefulness, the use of tetracycline antibiotics (TCs) in children has historically been limited because of the risk of permanent tooth discoloration and enamel deformity, although age restrictions have varied across countries (e.g., contraindicated under 8 years of age in Taiwan, USA, and Canada, and under 12 years of age in Korea and UK). We explored whether the incidence of dental abnormalities in Korean children with a history of TCs use differed by age. Furthermore, the relative risk compared to the TCs non-exposed group was calculated. Methods From 2002 to 2015, 1 million standard sample subjects data was provided from National Health Insurance Service in Korea. Children younger than 18 years were included and divided into groups A (0-7 years), B (8-12 years), and C (13-17 years). Subjects in 2002 were excluded for wash-out, as were those diagnosed with dental abnormalities within 6 months after TCs prescription. For comparison, 1:4 matching between the TCs exposure and non-exposure groups was performed according to age and gender. Results Among 14,831 individuals included as study subjects (487 (3%) in group A; 1,695 (11%) in group B; and 12,649 (85%) in group C), 201 (1.4%) were diagnosed with dental abnormalities. The 5-year cumulative incidence of dental abnormalities after exposure to TCs in the group A was 4.7%, which was significantly higher than that of the control group C (0.9%; p< 0.0001), but that of group B was 1.3% and not significantly different from that of group C. In the risk analysis of dental abnormalities according to exposure of TCs, there was no significant difference (adjusted RR=1.03, 95%CI=0.71 to 1.50 in group A; adjusted RR=1.13, 95%CI=0.76 to 1.69 in group B; adjusted RR=1.18, 95%CI=0.97 to 1.43 in group C). Fig 1.Cumulative incidence rate and relative risk analysis.A. Cumulative incidence rate of dental abnormalities after TCs exposure by age group (p = <.00001). B. Relative risk analysis by TCs exposure and age group.Abbreviation; TCs: tetracycline and its derivatives. Conclusion Korean children aged 0-7 years who were exposed to TCs had a higher cumulative incidence and relative risk of dental deformities compared to the 13-17-year-old group but not the 8-12-year-old group. No significant increase in dental abnormalities was observed with TCs exposure among pediatric age groups. Disclosures All Authors: No reported disclosures.
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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 | 0.001 |
| Meta-epidemiology (broad) | 0.000 | 0.001 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".