Comparison of the efficiency of CAD/CAM and Conventional Brackets
Bibliographic record
Abstract
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.
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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 | 0.018 | 0.035 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.007 | 0.012 |
| Bibliometrics | 0.005 | 0.003 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 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".