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Record W4403542697 · doi:10.1016/j.identj.2024.07.1027

Comparison of the efficiency of CAD/CAM and Conventional Brackets

2024· article· en· W4403542697 on OpenAlexaboutno aff
Afeefa Peerzada, Faizan Javed, Kanza Tahir, Rashna Hoshang Sukhia, Mubassar Fida

Bibliographic record

VenueInternational Dental Journal · 2024
Typearticle
Languageen
FieldEngineering
TopicManufacturing Process and Optimization
Canadian institutionsnot available
Fundersnot available
KeywordsCADDentistryEngineering drawingMedicineOrthodonticsComputer scienceEngineering

Abstract

fetched live from OpenAlex

Fixed brackets are classified into various types among which the most recently used are CAD/CAM. They have customized slot, exhibit tooth movement independent of bracket position, and demonstrate enhanced bond strength. Thus, assessing the effectiveness and efficiency of CAD/CAM and conventional brackets was the goal of this research. A thorough search was conducted of the following online databases: PubMed, Dentistry and Oral Science, CINAHL, Cochrane Central Register of Controlled Trials, and Scopus. Randomized clinical trials and cohort studies on human subjects were considered regardless of language or year of publication. Orthodontic patients in which CAD/CAM brackets were used as intervention and conventional brackets as control group were included. Effectiveness and efficiency was evaluated as the outcome. The risk of bias in clinical trials was assessed using the Cochrane guidelines with the Risk of Bias 2.0 tool and the quality of retrospective cohort studies were evaluated by using Newcastle Ottawa scale. The RevMan software version 5.4 was used to conduct the meta-analysis. Cochrane's heterogeneity test (I2 Test) was used to evaluate the heterogeneity of the studies Five studies that met the requirements for inclusion were incorporated into the qualitative and three into quantitative synthesis. It was found that the bracket failure was slightly higher in the CAD/CAM group. However, this difference was not statistically significant (95% CI,-1.83, 4.14). Within the constraints of insufficient evidence, this systematic review and meta-analysis found that the bracket failure was slightly higher in the CAD/CAM group. It was also noted that this difference was not statistically significant.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.193
Threshold uncertainty score0.168

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
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 head0.010
GPT teacher head0.276
Teacher spread0.267 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designSimulation or modeling
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

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