Bibliographic record
Abstract
The aim of this, randomized, double-blind, placebo-controlled study is to evaluate the effect of using 40mg atorvastatin on the progression of joint structural changes and symptoms over 3months in Iraqi patients with symptomatic knee osteoarthritis.This study was performed at Department of Rheumatology, Baghdad Teaching Hospital during the period from September 2020 to January 2021.A total of 44 patients with knee osteoarthritis were assigned to the placebo group (n=21) and atorvastatin group (n=23)that was received atorvastatin 40mg once daily. Both groups received etoricoxib tablets 60mg as a rescue medicine on need. Both groups were treated continuously for 12 weeks.Serum levels of C-terminal telopeptide of type II collagen CTXII, high sensitive c-reactive protein HS-CRP and Western Ontario and McMaster Universities Osteoarthritis Index WOMAC was measured before and after three months of treatment.Resultsshowed that after three months of treatment, the atorvastatin group showeda significant symptomatic improvement in total WOMAC scoring (P<0.0001) associated with a significant reduction (P<0.001) in serum CTXII, HS-CRP level.These results confirmed that the atorvastatin treatment in patients with knee osteoarthritis has clinical efficacy in reducing symptoms through the improvement of WOMAC index and reduction of serum level of CTXII and HS-CRP. In conclusions: Atorvastatin in a dose of 40mg daily can reduce the symptoms of 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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| 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 | 0.001 |
| 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".