Changes of serum inflammatory factors and miR-145 expression in patients with osteoarthritis before and after treatment and their clinical value
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
BACKGROUND: Osteoarthritis is a chronic degenerative disease with an incidence of 50% in people over 65 years old and 80% in people over 80 years old worldwide. It is the second leading reason of loss of working capacity after cardiovascular diseases and severely affects the society and families. Therefore, finding biological markers related to the diagnosis and treatment of osteoarthritis is of great significance in clinical practice. AIM: To observe the changes and clinical value of serum inflammatory factors and miR-145 expression in patients with osteoarthritis before and after treatment. METHODS: Eighty-three patients with knee osteoarthritis (observation group) who were admitted to our hospital from April 2013 to June 2015, and 60 healthy people (control group) during the same period were selected. After 4 wk of treatment, the levels of miR-145, tumor necrosis factor (TNF)-α, interleukin (IL)-6, and IL-10 were compared between the control group and the observation group before treatment. The correlation of miR-145, TNF-α, IL-6, and IL-10 levels with visual analogue scale (VAS), Lysholm, and Western Ontario and McMaster Universities Osteoarthritis Index (WOMAC) scores was assessed by Pearson correlation analysis. The correlation of the expression of miR-145, TNF-α, IL-6, and IL-10 with Kellgren-Lawrence (K-L) grades was assessed by Spearman correlation analysis. The critical levels of miR-145, TNF-α, IL-6, and IL-10 in distinguishing different K-L grades were determined by receiver operating characteristic (ROC) curve analysis. RESULTS: < 0.05). The area under the ROC curve (AUC) and specificity of TNF-α in differentiating K-L grades I-II were the highest, which were 0.785 and 97.45%, respectively, and miR145 had the highest sensitivity of 94.59%; the AUC and sensitivity of IL-6 in differentiating K-L grades II-III were the highest, which were 0.766 and 97.30%, respectively, and TNF-α had the highest specificity of 86.68%. CONCLUSION: MiR-145 and inflammatory factors have certain diagnostic value in osteoarthritis, and they are expected to become potential indicators for the diagnosis and evaluation of osteoarthritis in the future.
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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 | 0.000 | 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 | 0.000 |
| 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 it