Measurements of canine aqueous humor inflammatory mediators and the effect of carprofen following anterior chamber paracentesis
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Phase I: To evaluate levels of prostaglandin E(2) (PGE(2) ), nitrites and nitrates (NO(x) ), tumor necrosis factor-alpha (TNF-α) and expression of inducible cyclo-oxygenase (COX-2), nitric oxide synthase (NOS-2), and matrix metalloproteinases (MMP-3 and -9) in canine aqueous humor following repeated anterior chamber paracenteses (ACP). Phase II: to evaluate the effect of carprofen on PGE(2) , NO(x) , and TNF-α in canine aqueous humor following ACP. ANIMALS STUDIED: Four beagles in phase I and 8 beagles in phase II. PROCEDURES: Phase I: ACP was performed at time (T) 0, 4 and 8 h. Phase II: A randomized, placebo-controlled cross-over design with four dogs per group where carprofen was given 4.4 mg/kg/day on day (D) 1, 2 and 3. ACP was performed at T0 and T1.5 on D3. Statistical analysis was performed with repeated measures anova and post hoc Tukey-Kramer multiple-comparison procedure. In phase II, TNF-α level was analyzed with a Wilcoxon signed-rank test. RESULTS: Phase I: PGE(2) significantly increased (P < 0.0001) to plateau at T4. NO(X) was decreased at T4 (P < 0.06), but increased at T8 (P < 0.0001). COX-2 showed detectable expression only at T8. TNF-α, NOS-2, MMP-3 and -9 were undetectable at all time points. Phase II: At T1.5, PGE(2) was significantly elevated in both groups but was lower in the carprofen group (P = 0.037). NO(x) and TNF-α did not statistically increase in either group. CONCLUSIONS: Following ACP, significant increases in PGE(2) levels confirmed inflammation characterized by a rise of COX-2. The NO(x) pathway took longer to induce as compared with PGE(2) . Carprofen decreased PGE(2) levels and could help control intraocular inflammation.
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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 | 0.001 | 0.000 |
| 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 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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 it