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Record W2143315824 · doi:10.1093/ejo/cjv048

Effectiveness of the open bite treatment in growing children and adolescents. A systematic review

2015· review· en· W2143315824 on OpenAlexaff
Murilo Fernando Neuppmann Feres, Lucas Guimarães Abreu, Natalia Martins Insabralde, Márcio Rodrigues de Almeida, Carlos Flores‐Mir

Bibliographic record

VenueEuropean Journal of Orthodontics · 2015
Typereview
Languageen
FieldDentistry
TopicOrthodontics and Dentofacial Orthopedics
Canadian institutionsUniversity of Alberta
Fundersnot available
KeywordsOpen biteMedicineDentistryMalocclusionPediatrics

Abstract

fetched live from OpenAlex

BACKGROUND: The extensive literature concerning the early treatment of anterior open bite (AOB) is still controversial and covers a wide variety of therapeutic approaches. OBJECTIVES: The objective of this study was to provide a comprehensive review evaluating the effectiveness of the orthodontic correction of AOB in growing individuals. SEARCH METHODS: Search was conducted on PubMed, Embase, Cochrane Library, Web of Science, Scopus, Google Scholar, Scielo, and Lilacs databases. Trials registries were consulted for ongoing trials, and grey literature was also contemplated. SELECTION CRITERIA: Selection process was performed to include controlled trials enrolling growing subjects who underwent orthodontic treatment to correct AOB and/or hyperdivergent facial pattern. DATA COLLECTION AND ANALYSIS: Data were grouped and analysed descriptively. Qualitative appraisal was performed according to the Cochrane risk of bias tool, for randomized clinical trials (RCTs), and MINORS tool for non-RCTs. RESULTS: The 22 studies included in this review mostly considered mixed dentition subjects, and there was a considerable variation regarding therapeutic approaches. Because of poor-quality and/or insufficient evidence, consistent results were not found. However, some useful clinical inferences and suggestions for future studies were provided for each therapeutic modality considered here. CONCLUSIONS: Additional efforts must still be directed to perform, whenever possible, RCTs; or to conduct prospective controlled trials with adequate sample sizes, consecutively assembled subjects, with the comparison of contemporary and equivalent groups.

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 distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.012
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Systematic review · Consensus signal: Systematic review
GenreCandidate signal: Review · Consensus signal: Review
Teacher disagreement score0.038
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0120.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0050.001
Bibliometrics0.0000.001
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0010.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0000.000

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 head0.056
GPT teacher head0.350
Teacher spread0.294 · 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 teacher head, not a consensus.

Study designSystematic review
Domainnot available
GenreReview

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

Citations47
Published2015
Admission routes1
Has abstractyes

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