Patient satisfaction after orthodontic treatment combined with orthognathic surgery: A systematic review
Bibliographic record
Abstract
OBJECTIVE: To synthesize available evidence about factors associated with patients' satisfaction after orthodontic treatment combined with orthognathic surgery. MATERIALS AND METHODS: Studies that evaluated any factor associated with patients' satisfaction after the conclusion of an orthodontic treatment combined with an orthognathic surgery were identified. Orthognathic surgical procedures should have been undertaken after completion of craniofacial growth. Any satisfaction psychometric tool was considered. No language limitation was set. A detailed individual search strategy for each of the following bibliographic databases was crafted: MEDLINE, PubMed, EBM Reviews, Web of Science, EMBASE, LILACS, and Scopus. The references cited in the identified articles were also cross-checked, and a partial gray-literature search was undertaken using Google Scholar. RESULTS: Eight articles satisfied the inclusion criteria of this systematic review and accounted for 998 patients. The included studies showed large variation in sample size (range = 44 to 505 patients), age (range = 15 to 72 years old), distinct psychological evaluation tools, and time elapsed between the assessment and the completion of surgery and postorthodontic treatment. Most of the studies (five of eight) were classified as having high risk of bias. CONCLUSION: Factors associated with satisfaction were final esthetic outcome, perceived social benefits from the outcome, type of orthognathic surgery, sex, and changes in patient self-concept during treatment. Factors associated with dissatisfaction were treatment length; sensation of functional impairment and/or dysfunction after surgery, and perceived omitted information about surgical risks.
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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 | 0.008 | 0.041 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.006 | 0.006 |
| Bibliometrics | 0.009 | 0.011 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.004 | 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".