Comparison of long-term skeletal stability following maxillary advancement using rigid external distraction in growing and non-growing patients with cleft lip and palate: a systematic review and meta-analysis
Bibliographic record
Abstract
OBJECTIVES: To compare the long-term skeletal stability following maxillary advancement using Rigid External Distraction (RED) in growing and non-growing patients with Cleft Lip and Palate (CLP). METHODS: Data sources: A systematic literature search was performed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines from database inception till August 2020 in MEDLINE-PubMed, Cochrane Central Register of Controlled Trials (CENTRAL), Science Direct, Google Scholar and a manual search in the institutional library. Study eligibility criteria, participants and intervention: All available literature published in English, with a minimum of six human subjects with well-defined age range either 7-14.9 years or 15-30 years, follow up period of a minimum of 12 months assessing the skeletal stability as horizontal change at Point A (Subspinale) following maxillary advancement using a RED device, without the use of rigid internal fixation or bone grafts were included in the study. Study appraisal and synthesis method: The quality assessment of selected articles was done using the Newcastle-Ottawa scale. The meta-analysis was carried out with Q statistic method, I-squared statistics, fixed-effect model to estimate pooled mean and Begg-Mazumdar bias indicator. RESULTS: Selected nine articles that were qualitatively assessed for relapse rate following maxillary advancement using a RED device, showed consistent and stable results. The meta-analysis found no significant difference in long-term skeletal stability of maxillary advancement by RED device in growing and non-growing patients with CLP [(growing group: Pooled proportion = 0.2927; 95% CI = 0.1534 to 0.4319) (non-growing group: Pooled proportion = 0.23077; 95% CI = 0.09854 to 0.36300)]. LIMITATIONS: No study, as revealed by the search, was available that compared the two groups as defined by the inclusion criteria. Data for the two groups were retrieved from different studies and meta-analysed. CONCLUSION: RED is an effective modality for correction of maxillary hypoplasia secondary to CLP, requiring large maxillary advancement. The technique can be used in young and adult patients with similar long-term results. PROSPERO REGISTRATION NUMBER: CRD42020205513.
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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 | 0.011 | 0.024 |
| Meta-epidemiology (narrow) | 0.003 | 0.001 |
| Meta-epidemiology (broad) | 0.018 | 0.035 |
| Bibliometrics | 0.006 | 0.006 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.002 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.003 | 0.002 |
| 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".