Open reduction versus close treatment in management of children mandibular fracture: A systematic review
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Mandibular fractures in children are the most common facial bone injury, which is 39% of all fractures. Adequate treatment of mandible fractures was still debated to restore the best physiological and aesthetic outcome. This systematic review aims to compare open reduction and closed treatment outcomes in children with mandibular fractures based on evidence from the current study. Four electronic databases were used: PubMed, ScienceDirect, Directory of Open Access Journals (DOAJ), and Google Scholar. Studies included were randomized and non-randomized clinical studies written in English and published in the last 10 years (2014). Children patients under 18 years of age, of any sex, with any mandible fracture treated with any functional appliance. Data was collected using a standard form agreed upon by two independent reviewers. The risk of bias and quality were assessed using the Newcastle-Ottawa Quality Assessment Scale (NOS). Ten studies were selected for this systematic review, including 554 patients. Half of studies chosen had a high risk of bias, 4 were deemed to have a moderate risk of bias, and one had a low risk of bias. Comparing ORIF and close treatment, we get the incidence of complications versus cases respectively, 9/182 versus 5/372. The data collected, although there is still a lot of bias in this review. We support close treatment as the first line treatment for children’s mandible fractures because the minimal number of possible complications.
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.
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.005 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it