Efficacy and Tolerability of Nonprescription Ibuprofen versus Celecoxib for Dental Pain
Bibliographic record
Abstract
Many clinicians appear confused about the purported clinical advantages of the new generation COX-2 inhibitors compared to both over-the-counter and prescription nonsteroidal anti-inflammatory analgesic agents (NSAIDs). Infact, there is a paucity of published information comparing the safety and efficacy of these two classes of drugs when used to treat acute pain. This study was designed to compare the safety and analgesic efficacy of an over-the-counter (OTC) analgesic, ibuprofen (Advil Liqui-Gels), to the leading prescription COX-2 inhibitor celecoxib (Celebrex). Ibuprofen liquigel is an encapsulated, solubilized potassium salt of ibuprofen that has a higher Cmax and shorter tmax than traditional ibuprofen solid-dosage formulations. This trial evaluated the maximum approved OTC dosing regimen (400 mg x 3, q4-6h) of ibuprofen liquigels compared to a single dose of celecoxib (200 mg) and placebo in 174 patients with moderate orsevere pain following surgical extraction of impacted third molars. The study design was multiple dose, randomized (stratified by baseline pain and gender), placebo controlled, double blind, double dummy, and parallel group. The onset of pain relief was determined using a two-stopwatch procedure. Treatments were also compared using standard indices of pain intensity and pain relief. The study demonstrated assay sensitivity in that both active medications were significantly more effective than placebo for all efficacy measures. In comparing the two active medications, the time to meaningful relief was significantly shorter, and the mean 4-, 8-, and 12-hour summed pain relief combined with pain intensity difference scores were significantly higher for ibuprofen liquigels compared with celecoxib (p < 0.001). Analyses of other key efficacy variables, including the time to rescue medication and the patients' overall assessment of study medication, confirmed the superior efficacy of ibuprofen liquigels over celecoxib. Both active treatments were well tolerated, with no differences in incidence or severity of adverse events. Of particular interest, there were no differences in gastrointestinal-related side effects when comparing these doses of ibuprofen liquigels to celecoxib. In conclusion, ibuprofen liquigels were a significantly more effective analgesic and provided relief significantly faster compared with celecoxib in the treatment of postsurgical pain.
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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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".