Time and predictors of response to tumour necrosis factor- blockers in psoriatic arthritis: an analysis of a longitudinal observational cohort
Bibliographic record
Abstract
OBJECTIVE: To determine predictors and time to response to treatment with TNF-alpha blockers in patients with PsA in a longitudinal observational cohort. METHODS: We performed a cohort analysis of patients who were followed prospectively in a large PsA clinic. Response to treatment was defined as an improvement of at least 40% in active (tender and/or swollen) and swollen joint count (SJC) and 50% improvement in the Psoriasis Area and Severity Index (PASI) score. RESULTS: Ninety-five patients were included in the analysis. Of the total patients, 72.6 and 77.9% demonstrated 40% improvement in active joint counts at 3 and 12 months, respectively. Also, 80.5 and 87.4% of the patients showed 40% improvement in SJC at 3 and 12 months, respectively. A PASI50 was achieved by 54 and 60.4% after 3 and 12 months of treatment, respectively. Of 17 patients who did not achieve 40% improvement in total SJC at 3 months, 11 (64.7%) responded at 12 months. In multivariate analysis, the number of swollen joints at baseline predicted response of total active joints at 12 months [odds ratio (OR) 1.34; P = 0.02], whereas past use of TNF-alpha blocker decreased odds of response (OR 0.05; P = 0.01). CONCLUSION: TNF-alpha blockers are effective in most PsA patients with the majority responding within 3 months of treatment. A significant proportion of the early non-responders will have a delayed response to treatment. Higher SJC at baseline and no prior use of TNF-alpha blockers predict response.
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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 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 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".