Comparing the Effects of Oleoresin of Pistacia atlantica Tree and Diclofenac Gel on the Knee Osteoarthritis Improvement
Bibliographic record
Abstract
Background: Osteoarthritis (OA) is one of the most common chronic rheumatoid diseases, which affects the cartilage and tissue surrounding the joints. OA causes pain and disability among the old population in most of the developing and developed countries. This disease does not have a definitive treatment, and a conventional treatment only controls the symptoms and pain. Pistacia atlantica cream can inhibit many of the enzymes involved in the inflammation process of OA. Objectives: The current study aimed at evaluating the effect of the topical cream of P. atlantica oleoresin on pain relief in patients with knee OA. Methods: P. atlantica cream formulated in the current study was used to reduce the pain, inflammation, and problems of patients with knee OA; it also descended the serious side effects of conventional therapies. The present clinical trial was conducted on 84 patients with knee OA (grade 2 or 3) parallelly for three-month periods, and diclofenac gel was used as a control drug in the same dosage and period. The formulation was analyzed for standardization with the gas chromatography–mass spectrometry apparatus. The Western Ontario and McMaster universities OA index questionnaire was used to assess the treatment trends. Results: The improvement trend was observed in both groups, while patients who received P. atlantica cream had a significantly higher rate of symptoms improvement than those receiving diclofenac gel (P < 0.05). Conclusions: P. atlantica cream significantly reduced pain and stiffness of joints in patients while performing daily living activities. High analgesic effect of α-pinene and the anti-inflammatory effect of P. alantica were the main reasons for the high inflammatory effect of P. atlantica. Finally, the topical use of P. atlantica cream formulated in the current study, along with other common drugs, can be suggested.
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 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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 | 0.000 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".