Clinical outcomes for permanent incisor luxations in a pediatric population. II. Extrusions
Bibliographic record
Abstract
A longitudinal outcome study was undertaken to identify variables that significantly influenced outcomes for extruded permanent maxillary incisors of children and adolescents. Clinical and radiographic data was available for 35 patients (18 males, 17 females) representing 55 incisors. Mean age at the time of injury was 10.6 years (range: 7.1-17.8 years). Mean time elapsed to follow up was 1320 days (range: 423-2887 days). Survival analysis was used to identify variables significantly related to the prognosis of these teeth. The loss of an incisor following extrusion was uncommon as only one tooth (1/55) required extraction. There was no statistically significant difference in survival between severely extruded teeth and avulsions that had been stored in physiological media (P > 0.10). Pulp necrosis (PN) was the most common complication following injury (43%) and it most often occurred during the first year. Although not statistically significant, a trend towards increased PN was found with more severely extruded teeth (P = 0.20, relative risk = 2.08). Pulp canal obliteration (PCO) was the second most common outcome (35%). The degree of extrusion was proven to be significantly associated with the development of PCO (P = 0.03, relative risk = 0.33). Root resorption was an uncommon outcome (3/55). This study represents the first outcome data on extrusions to permanent maxillary incisors in an exclusively pediatric population.
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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 | 0.003 |
| 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 | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".