Pharmacodynamic effects of ketoprofen on crevicular fluid prostanoids in adult periodontitis
Bibliographic record
Abstract
The reported therapeutic benefits of nonsteroidal anti-inflammatory drugs (NSAIDs) in slowing periodontal disease progression appear intimately linked to the effective inhibition of local prostaglandin synthesis. This randomized, partially double-blind, controlled trial was conducted to evaluate the pharmacodynamic effects of the NSAID, ketoprofen (KTP), on gingival crevicular fluid (GCF) prostanoids. 42 subjects, ages 35-57 years, with moderate to advanced adult periodontitis were recruited and monitored for 22 days. On day 1, subjects were randomized for 1 of 5 treatments: i) 0.5% KTP gel; ii) 1.0% KTP gel; iii) 1.0% KTP alternate gel; iv) 2.0% KTP gel; v) 25 mg KTP capsule (positive control). Subjects applied 1 ml of gel topically to their gingiva or administered one capsule p.o., b.i.d. for 14.5 days. GCF samples were collected from posterior, interproximal sites on days 1 (pre-dosing; 1, 2, 3, 6 h), 8 (pre-dosing; 2 h), 15 (pre-dosing; 2 h) and 22 (post-treatment). GCF levels of prostaglandin E2 (PGE2) and leukotriene B4 (LTB4) were determined using RIA, and expressed in ng/ml and % reduction from baseline (%Effect). Neither a significant difference among groups nor a dose response in % effect for either prostanoid was evident, both overall and among cohorts with elevated baseline mediator levels ([PGE2]>34 ng/ml; [LTB4]>300 ng/ml). When data were combined from all groups, significant (p<0.01) % reductions in GCF PGE2 were noted at 1 and 2 h post-dosing (29% and 24% respectively). In comparing topical versus systemic formulations, all topical formulations were as equipotent as systemic dosing in altering local prostaglandin levels despite lower KTP exposures with gel treatments. These data indicate that both topical and systemic KTP therapies pharmacodynamically reduce GCF PGE2 levels in adult periodontitis subjects, allowing for potential inhibition of disease progression.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".