| erythrocyte sedimentation rate |
140 |
| hemoglobin |
140 |
| kawasaki disease |
140 |
| meta-analysis |
140 |
| mycoplasma |
140 |
| pooled prevalence |
140 |
| antibody |
099 |
| igg3 |
099 |
| immunoglobulin |
099 |
| pfapa |
099 |
| serum |
099 |
| fibrosis |
052 |
| questionnaire |
052 |
| reliability |
052 |
| scleroderma |
052 |
| validity |
052 |
| covid-19 |
010 |
| cost analysis |
010 |
| intravenous immunoglobulin |
010 |
| ankylosing spondylitis |
123, 020, 115 |
| aryl hydrocarbon receptor |
123 |
| interlukin-17 |
123 |
| t helper 17 |
123 |
| fibromyalgia syndrome |
020 |
| fibromyalgianess |
020 |
| polysymptomatic distress scale |
020 |
| rheumatoid arthritis |
020, 089 |
| widespread pain |
020 |
| choroidal thickness |
089 |
| Δhrct |
089 |
| artificial intelligence |
001 |
| deep learning |
001 |
| image analysis machine learning |
001 |
| rheumatology |
001, 033 |
| kinematics |
033 |
| knee |
033 |
| muscle strength |
033 |
| osteoarthritis |
033, 081 |
| rheumatic diseases |
033 |
| bronchoalveolar lavage |
046 |
| connective tissue disease |
046 |
| high-resolution computer tomography |
046 |
| interstitial lung disease |
046 |
| progressive pulmonary fibrosis |
046 |
| pulmonary function test |
046 |
| genetic interaction |
060 |
| primary sjögren’s syndrome |
060 |
| ptpn22 |
060 |
| tnfaip3 |
060 |
| traf1-c5 |
060 |
| adverse effects |
071 |
| anti-il-17 |
071 |
| anti-tnf&alpha |
071 |
| psoriatic arthritis |
071 |
| secukinumab |
071 |
| corticosteroid |
081 |
| hyaluronic acid |
081 |
| monosodium iodoacetate |
081 |
| unique cartilage matrix-associated protein |
081 |
| axial spondyloarthropathy |
115 |
| basdai |
115 |
| disease activity |
115 |
| sparcc score |
115 |
| heart failure |
149 |
| left ventricular global longitudinal strain |
149 |
| systemic lupus erythematosus |
149 |
| behçet’s disease |
107 |
| inflammation |
107 |
| tenascin-c |
107 |
