Adalimumab significantly reduces inflammation and serum <scp>DKK</scp>‐1 level but increases fatty deposition in lumbar spine in active ankylosing spondylitis
Bibliographic record
Abstract
AIM: To investigate whether adalimumab is effective for active ankylosing spondylitis (AS) patients and whether it has an impact on the formation of fatty deposition lesions (FDL) and serum Dickkopf homolog 1 (Dkk-1) level in AS patients. METHOD: This was a randomized, double-blind, placebo-controlled study. Active AS patients received 40 mg adalimumab (n = 26) or placebo (n = 20) every other week during an initial 12-week double-blind period, and all switched to adalimumab treatment for another 12 weeks. Bath Ankylosing Spondylitis Disease Activity Index (BASDAI), Bath Ankylosing Spondylitis Function Index (BASFI), C-reactive protein (CRP), Ankylosing Spondylitis Disease Activity Scores (ASDAS) and serum DKK-1 levels were measured and magnetic resonance imaging (MRI) of both the lumbar spine and sacroiliac joints were obtained at baseline, week 12 and week 24. Spinal and sacroiliac joint inflammations were evaluated using the Spondyloarthritis Research Consortium of Canada (SPARCC) MRI index, and FDL were assessed in a dichotomous manner. RESULTS: Obvious improvements in clinical assessments (BASDAI, BASFI, CRP and ASDAS reduced, all P < 0.05), as well as MRI inflammation measurements (both lumbar spine and sacroiliac joints SPARCC scores decreased, all P < 0.05) were shown in active AS patients treated by adalimumab for 12 weeks, but FDL in the lumbar spine seen by MRI increased significantly (P < 0.05) accompanied by decrease of serum DKK-1 levels (P < 0.05), while FDL remained stable after the treatment of placebo in AS patients. CONCLUSION: Our study found that adalimumab was highly effective in reducing inflammation in active AS patients, but it was accompanied by the formation of FDL in the lumbar spine and decrease in serum DKK-1 levels.
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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 | 0.001 |
| 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".