Pharmacokinetic comparison of an oral diclofenac potassium liquid-filled soft gelatin capsule with a diclofenac potassium tablet
Bibliographic record
Abstract
OBJECTIVE: To compare the pharmacokinetic profiles of diclofenac potassium liquid-filled soft gelatin capsules (DPSGC) using patented ProSorb dispersion technology with an immediate-release, diclofenac potassium 50-mg comparator tablet in two open-label, single-dose, randomized, crossover relative bioavailability studies in healthy volunteers. METHODS: In Study 1, volunteers (n = 21) received DPSGC 50 mg or a diclofenac potassium 50-mg comparator tablet in two inpatient study periods. In Study 2 (n = 54), volunteers received DPSGC 25 mg, DPSGC 50 mg, or a diclofenac potassium 50-mg comparator immediate-release tablet in three inpatient study periods. RESULTS: In both studies, DPSGC 50 mg displayed a significantly shorter T(max) and higher C(max) than the 50-mg diclofenac potassium comparator tablet. DPSGC 25 mg (Study 2) produced a shorter T(max) (0.45 h) and an equivalent C(max) (1125 ng/ml) to the 50-mg comparator drug. Plasma diclofenac concentration-time courses for the diclofenac potassium 50-mg comparator tablet showed many low, delayed, or multiple peaks compared with DPSGC treatments. CONCLUSIONS: DPSGC 25 mg and 50 mg were more rapidly and consistently absorbed than diclofenac potassium 50-mg comparator tablets. The C(max) of DPSGC 25 mg was equivalent to the 50-mg diclofenac potassium comparator tablet. These characteristics may be beneficial when fast, consistent drug absorption is needed.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| 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 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".