Effects of joint irrigation combined with ozone injection on bone metabolism, inflammatory factors, and joint function in knee osteoarthritis.
Bibliographic record
Abstract
OBJECTIVE: To explore the effects of joint irrigation combined with ozone injection on bone metabolism, inflammatory factors, and joint function in patients with knee osteoarthritis (KOA). METHOD: In this retrospective study, a total of 132 KOA patients admitted to No. 215 Hospital of Shaanxi Nuclear Industry from October 2019 to July 2021 were enrolled. Among them, 62 patients received arthroscopic irrigation alone were assigned into a control group, and the remaining 70 patients who received arthroscopic irrigation combined with ozone injection were assigned into an observation group. Therapeutic efficacy and adverse reactions during the treatment were compared in the two groups. Bone metabolism, inflammatory factor levels and joint function of patients before and after treatment were observed; patients were further divided into a good prognosis group and a poor prognosis group regarding their prognosis. Multivariate analysis was performed to explore the independent risk factors affecting prognosis. RESULTS: After treatment, compared to the control group, the total effective rate of the observation group was higher (P<0.05), and there was no notable difference in the incidence of adverse reactions between the two groups (P>0.05). The bone metabolism indexes, osteocalcin (OC) and osteoprotegerin (OPG), in the observation group were also significantly higher (P<0.05), while the level of nuclear transcription factor κB receptor activator ligand (RANKL) in the observation group was markedly lower. The inflammation level in the observation group was lower (P<0.05). Lysholm score in the observation group was strikingly higher (P<0.05), while its Western Ontario McMaster (WOMAC) score and visual analogue scale (VAS) were lower (P<0.05). The observation group had a lower rate of poor prognosis (P<0.05). Age (OR: 1.786, 95% CI: 1.347-2.370), disease duration (OR: 1.132, 95% CI: 1.002-1.279), VAS after treatment (OR: 2.316, 95% CI: 1.089-4.925), and post-treatment IL-6 (OR: 1.186, 95% CI: 1.017-1.382) were all independent risk factors for poor prognosis. CONCLUSION: Joint irrigation combined with ozone injection shows good efficacy in the treatment of KOA, and could effectively relieve the clinical symptoms of patients, improve their bone metabolism indexes, and help the recovery of knee joint function.
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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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) | 0.000 | 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".