Short- and long-term dental arch spatial changes following premature loss of primary molars
Bibliographic record
Abstract
Aim: The aim of this study was to evaluate the dental arch spatial changes in maxillary and mandibular arches after premature loss of primary molars. Introduction: Primary teeth must be maintained during the change from primary to mixed and then permanent dentition, to preserve and maintain the dental arch. When this normal process is disturbed, usually due to severe decay requiring extraction before normal exfoliation, it can result in migration of adjacent teeth toward the missing space resulting in decreased arch length and malocclusion in the permanent dentition. Materials and Methods: A comprehensive search was conducted using electronic databases such as PubMed Central, Cochrane Database of Systematic Reviews, Google Scholar, LILACS, and ScienceDirect. The title and abstract were screened to find relevant articles, which were then reviewed in full to see if they were worthy of inclusion. All longitudinal and observational studies that looked at space changes after the loss of primary first or second molars were included. Quality assessment of the studies was done based on the Newcastle-Ottawa scale as all the included studies were non-randomized studies. Results: Four thousand five hundred and seventy-eight articles were identified by screening electronic database and assessed for eligibility, 12 full-text articles were assessed, and 4 full-text articles were excluded as they did not match the inclusion criteria. Thus, eight articles were included in this systematic review. Short term and long term space changes and loss of maxillary and mandibular molars were studied individually. In the short term changes, the distal migration of the primary cuspid towards the missing space within 1 month was attributable to early space changes after premature loss of the mandibular first molar, and the greatest space loss was recorded in the first 3 months after premature loss. After the premature loss of the maxillary first molar, immediate space loss of 1mm was documented due to distal migration of the primary canine. Studies found that space loss was caused by the distal migration of primary canines in the case of mandibular primary first molar loss, and that space loss was larger in the mandibular arch after premature loss of second primary molars. Conclusion: The greatest repercussions occurred during the first 3 months after the deciduous molars were extracted, and a space maintainer was recommended in the majority of cases, mainly when there is premature loss of mandibular second primary molar as it leads to mesial displacement of the first permanent molar.
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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 | 0.004 | 0.016 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.003 | 0.004 |
| Bibliometrics | 0.004 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".