Dexamethasone Injection Into Pterygomandibular Space Versus Sublingual Space on Post-Operative Sequalae of Lower Third Molar Intervention
Bibliographic record
Abstract
BACKGROUND: The surgical removal of lower third molar is still the most common surgical procedure that is done in oral and maxillofacial surgery field and creates the predictable post-operative sequelae such as pain, swelling, stiffness and difficulty in mouth opening. The purpose of this study is to compare pre-operative dexamethasone injection into pterygomandibular space (PGS) and sublingual space (SLS) in lower third molar intervention of post-operative pain, swelling, and limited mouth opening. METHODS: This study is the split-mouth, randomized crossover clinical trial in 30 healthy patients (mean age 21 years). These patients had similar bilateral lower third molar impactions. The patients were randomly divided into two groups receiving either 8-mg dexamethasone injection into SLS or PGS with the 4-week washout period intervention. Clinical assessment of facial swelling and maximum mouth opening was performed before operation and on day 2 and day 7 after operation. The post-operative pain was also measured by patients' response on pain visual analogue scale (VAS) on the first, second and third day after intervention. RESULTS: There is no significant difference between PGS group and SLS group in pain and swelling on the second and seventh day after operation. However, PGS group showed a greater degree of limited mouth opening than SLS group on the second day after operation. CONCLUSIONS: This study showed that 8-mg dexamethasone injection into PGS or SLS was not different in reduction of pain, swelling, and limited mouth opening. This result suggests that dexamethasone injection into PGS or SLS is similarly effective.
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How this classification was reachedexpand
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 | 0.015 | 0.013 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.003 |
| Insufficient payload (model declined to judge) | 0.001 | 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 teacher head, 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".