Corticosteroids for managing acute pain subsequent to surgical extraction of mandibular third molars
Bibliographic record
Abstract
BACKGROUND: Corticosteroids are used to manage pain after surgical tooth extractions. The authors assessed the effect of corticosteroids on acute postoperative pain in patients undergoing surgical tooth extractions of mandibular third molars. TYPES OF STUDIES REVIEWED: The authors conducted a systematic review and meta-analysis. The authors searched the Epistemonikos database, including MEDLINE, Embase, Cochrane Central Register of Controlled Trials, and the US clinical trials registry (ClinicalTrials.gov) from inception until April 2023. Pairs of reviewers independently screened titles and abstracts, then full texts of trials were identified as potentially eligible. After duplicate data abstraction, the authors conducted random-effects meta-analyses. Risk of bias was assessed using Version 2 of the Cochrane Risk of Bias tool and certainty of the evidence was determined using the Grading of Recommendations Assessment, Development and Evaluation approach. RESULTS: Forty randomized controlled trials proved eligible. The evidence suggested that corticosteroids compared with a placebo provided a trivial reduction in pain intensity measured 6 hours (mean difference, 8.79 points lower; 95% CI, 14.8 to 2.77 points lower; low certainty) and 24 hours after surgical tooth extraction (mean difference, 8.89 points lower; 95% CI, 10.71 to 7.06 points lower; very low certainty). The authors found no important difference between corticosteroids and a placebo with regard to incidence of postoperative infection (risk difference, 0%; 95% CI, -1% to 1%; low certainty) and alveolar osteitis (risk difference, 0%; 95% CI, -3% to 4%; very low certainty). PRACTICAL IMPLICATIONS: Low and very low certainty evidence suggests that there is a trivial difference regarding postoperative pain intensity and adverse effects of corticosteroids administered orally, submucosally, or intramuscularly compared with a placebo in patients undergoing third-molar extractions.
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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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.002 |
| Bibliometrics | 0.000 | 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 | 0.001 |
| 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 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".