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Record W7162774300 · doi:10.4103/jcds_202412_20

Effect of orthodontic initiation time on autotransplanted teeth outcome

2024· article· en· W7162774300 on OpenAlexaboutno aff
Refal Almatrodi, Gharam Alharbi, Shatha Aljaber, Ghada Alaglan

Bibliographic record

VenueJournal of Contemporary Dental Sciences · 2024
Typearticle
Languageen
FieldHealth Professions
TopicDental Trauma and Treatments
Canadian institutionsnot available
Fundersnot available
KeywordsAutotransplantationDental alveolusInterdental consonantOutcome (game theory)MEDLINE

Abstract

fetched live from OpenAlex

Background: Tooth autotransplantation is one of the treatment options to compensate for tooth loss with the advantage of preserving alveolar bone volume and interdental papilla. Several studies have investigated the influence of orthodontic movement timing on autotransplanted teeth with different prognosis outcomes. Thus, the aim of this systematic review is to investigate the effect of orthodontic movement time on autotransplanted teeth outcomes. Methods: A bibliographic search was carried out on PubMed, EBSCO, and Cochrane databases for English articles with no limitations in the year of publication. Eligible articles were included for data retrieval, followed by the Newcastle-Ottawa Scale for the risk of bias assessment. Results: A total of five articles have met the inclusion criteria. The initiation of orthodontic movement timing has varied among the included studies between 4 and 8 weeks, 2 months, 6 months, and 3-9 months with different findings. Conclusions: Autotransplanted teeth that have received orthodontic forces showed integrity in the periodontium. However, the effect of orthodontic initiation time was controversial, and further clinical studies are warranted.

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 imitation

Not 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.

metaresearch head score (Codex)0.010
metaresearch head score (Gemma)0.052
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.010
Threshold uncertainty score0.055

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0100.052
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0050.009
Bibliometrics0.0060.006
Science and technology studies0.0010.001
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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.

Opus teacher head0.103
GPT teacher head0.474
Teacher spread0.372 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations0
Published2024
Admission routes1
Has abstractyes

Explore more

Same venueJournal of Contemporary Dental SciencesSame topicDental Trauma and TreatmentsFrench-language works237,207