Occurrence and Predictors of Postoperative Preauricular and Masticatory Muscle Pain Symptoms After Surgical Removal of Third Molars: A Single-Blind Randomized Controlled Trial Comparing Dental Assistants Supporting the Mandible and the Restful Jaw Device
Bibliographic record
Abstract
BACKGROUND: During third molar removal, the mandible is supported by a dental assistant (DA) to counter downward forces during surgery, and with sedation, to maintain airway patency. The Restful Jaw device (PEP Design; Saint Paul) provides this support instead of the DA. PURPOSE: This study compared the occurrence of postoperative preauricular and masticatory muscle pain symptoms (PMMPS) between the device and DAs providing mandibular support, using two outcome measures. Secondary aims identify predictors of outcome and providers' opinions of the device. STUDY DESIGN, SETTING, SAMPLE: In this multisite, single-blind, two-arm parallel randomized trial, participants without preoperative PMMPS had surgical removal of third molars, with sedation and bite blocks were randomly assigned to manual support or the device. EXPOSURE VARIABLE: The exposed group was randomly assigned to the device and the nonexposed group to manual support. MAIN OUTCOME VARIABLE(S): The primary outcome was patient-reported PMMPS. Two secondary outcomes were pain assessed with the temporomandibular disorder Pain Screener and providers' views on the device. Outcomes were assessed at 1-, 3-, and 6-month postsurgery. COVARIATES: The covariates are baseline demographics (eg, sex), clinical characteristics (eg, eruption status), and third molar surgeries. ANALYSES: For occurrence of pain, generalized estimating equations assessed differences between groups. Logistic regression analysis assessed predictors of pain at 1 month, per the Screener. The level for statistical significance was 5%. RESULTS: Enrollment was 86 and 83 participants in the device and DA groups, respectively. The average age was 20.8 years; the majority were female (65%) and Caucasian (66%). The retention rate was ≥95.9%. The groups did not differ significantly for occurrence of pain using the primary and secondary outcome measures at any follow-up (P ≥ .46). Fully impacted molars were associated with occurrence of pain (odds ratio = 3.44; 95% confidence interval 1.49-7.92; P = .004). CONCLUSION AND RELEVANCE: Occurrence of pain using the primary and secondary outcome measures did not differ significantly between groups at any follow-up and was associated with removal of fully impacted third molars. Four out of five surgeons reported wanting to use the device on a regular basis when performing this procedure in sedated patients.
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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 | 0.003 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.003 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.007 | 0.001 |
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".