Comparable Efficacy of Abatacept Used as First-line or Second-line Biological Agent for Severe Juvenile Idiopathic Arthritis-related Uveitis
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
OBJECTIVE: Abatacept (ABA) has recently been proposed as second-line treatment in patients with juvenile idiopathic arthritis (JIA)-associated uveitis refractory to anti-tumor necrosis factor-α (anti-TNF) agents, but little is known about its efficacy as a first-line approach. The aim of the present study was to compare the safety and efficacy of ABA as a first-line biological agent (ABA-1) with that of ABA as a second-line treatment after 1 or more anti-TNF agents (ABA-2), in patients with severe JIA-related uveitis. METHODS: In this multicenter study, we collected data on patients with severe JIA-related uveitis treated with ABA as a first-line or second-line biological agent. Changes in frequency of uveitis flares/year and ocular complications before and after ABA treatment, clinical remission, and side effects were recorded. RESULTS: Thirty-five patients with a mean age of 10.8 years were treated with ABA for a mean period of 19.6 months. In 4 patients, ABA administration was discontinued, owing to inefficacy on arthritis in 3 cases and allergic reaction in 1. Thirty-one patients, 14 in the ABA-1 group and 17 in the ABA-2 group, completed the 12-month followup period; of these, 17 (54.8%) had clinical remission. The mean frequency of uveitis flares decreased from 4.1 to 1.2 in the ABA-1 group (p = 0.002) and from 3.7 to 1.2 in the ABA-2 group (p = 0.004). Preexisting ocular complications improved or remained stable in all but 5 patients, all in the ABA-2 group. No significant difference was found between the efficacy of the 2 treatment modalities. ABA confirmed its good safety profile. CONCLUSION: ABA, used as first-line biological treatment or after 1 or more anti-TNF agents, induces a comparable improvement in severe refractory JIA-related uveitis.
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.
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) | 0.001 | 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) | 0.003 | 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