Conséquences d'un traumatisme des dents temporaires sur les dents définitives : une revue systématique
Bibliographic record
Abstract
Objective: dental trauma is a frequent reason for consultation in pediatric dentistry and its consequences may be observed on the permanent dentition. As these consequences are not immediately visible, the dentist should be able to anticipate complications based on the clinical situation during the emergency or follow-up appointment. The aim of this study is to verify whether the age at the time of trauma and/or the type of trauma are associated with sequelae on permanent teeth. Materials and methods: this is a systematic review of the literature using the PRISMA protocol. The PUBMED and DOSS databases were searched using a combination of keywords. Articles were selected by title, abstract, and full-text reading, provided that they met the inclusion and exclusion criteria. Bias and study quality were analyzed using the Newcastle-Ottawa Scale. Results: 15 articles were included in the review and their data were extracted and analyzed. Sequelae were observed in 35.65% of permanent teeth. The highest incidence of sequelae was 49% and was observed in the 1-2 year age group, decreasing as the child grew. The type of trauma also influences the future of the permanent teeth. Intrusions and expulsions had the highest incidence with 29% and 27.1% of sequelae respectively. Conclusion: age and type of trauma are among the most important risk factors: the younger the child is at the time of the trauma, the more frequent and severe are the sequelae on permanent teeth, in particular for intrusions and expulsions. The dentist will have to increase his vigilance in front of one of these parameters. A regular follow-up will be essential in order to diagnose possible complications and to quickly propose an adequate treatment.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.015 | 0.040 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.005 |
| Bibliometrics | 0.011 | 0.010 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.006 | 0.006 |
| Open science | 0.002 | 0.002 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.004 | 0.001 |
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".