Association between synovial fluid prostanoid levels and ultrasonographic findings in knee osteoarthritis
Bibliographic record
Abstract
Purpose. The aim of this study was to investigate the association between prostanoid [thromboxane (TxA2) and prostacyclin (PGI2)] levels in synovial fluid and infrapatellar fat pad (IPFP)/ suprapatellar fat pad (SPFP) thickness as well as other clinical findings in knee steoarthritis (OA) patients. Materials and Methods: 16 patients with knee OA with effusion were included. The average pain levels were evaluated using a Visual Analogue Scale (VAS). The pain, stiffness, and physical functions were evaluated using the Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC). The levels of 6-keto-PGF1α, stable metabolite of PGI2, and TxB2, stable metabolite of TxA2, were measured in synovial fluid using an enzyme immunoassay. Results: 6-keto-PGF1α levels were significantly greater than TxB2 levels in synovial fluid of patients with OA. TxB2 levels and TxB2/6-keto- PGF1α ratio were negatively correlated with SPFP and cartilage thickness, respectively. IPFP thickness was positively correlated with SPFP thickness and effusion volume. WOMAC scores were positively correlated with VAS-activity and VAC-evening scores. Conclusion: In comparison to 6-keto- PGF1α levels in synovial fluid, TxB2 levels seem to be more associated with ultrasonographic findings in patients with OA.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.000 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| 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".