Interleukin-34: A Potential Diagnostic and Therapeutic Target for Rheumatoid Arthritis
Bibliographic record
Abstract
To the Editor: Recently, we read with great interest the article titled “Increased Levels of Interleukin 34 in Serum and Synovial Fluid Are Associated with Rheumatoid Factor and Anticyclic Citrullinated Peptide Antibody Titers in Patients with Rheumatoid Arthritis,” published in The Journal of Rheumatology 1, showing that serum levels of interleukin 34 (IL-34) were positively correlated with rheumatoid factor (RF) and anticyclic citrullinated peptide antibody (anti-CCP) titers, but not with systemic osteoporosis and radiographic joint damage in rheumatoid arthritis (RA). Further, IL-34 levels were significantly increased in the serum of patients with RA (p < 0.001) or ankylosing spondylitis (p < 0.001) compared with controls2. These studies … Address correspondence to Dr. H. Wu, Department of Pharmacy, Binhu Hospital of Hefei City, The Third Affiliated Hospital of Anhui Medical University, 230001, Hefei, Anhui Province, China. E-mail: wuhuaedu{at}163.com
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.010 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.002 | 0.003 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.014 | 0.020 |
| Insufficient payload (model declined to judge) | 0.003 | 0.003 |
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 source (direct Gemma or distilled Codex), 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".