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
The aim of this study was to assess the impact of long-term treatment with TNF blockers on the radiographic progression of hip disease in spondyloarthritis (SpA). This retrospective multicentric cohort study included 2 groups of patients with SpA and hip involvement. Patients of group 1 were treated with anti-TNF alpha for at least 2 years, whereas those of group 2 were anti-TNF-naïve patients. Clinical, laboratory and radiologic parameters were assessed at baseline and after at least 2 years. Groups 1 and 2 included respectively 48 and 46 patients. The radiological features of hip disease were comparable between the two groups at baseline. The second evaluation was performed after an average duration of 4.1 ± 2.9 years [2-10] in group 1 and 4.8 ± 2.1 years [2-14] in group 2 (p = 0.116). The absence of hip structural damage was more frequently found in group 1 (72 hips vs 52, p < 0.0001, odds ratio [OR] = 4.7, 95% confidence interval [CI] = 2.1-10.4). The better outcome in group 1 remained significant even after adjusting for BASDAI (p < 0.05, (adjusted odds ratio [aOR] = 3.3, 95% CI = 1.2-9.2), BASFI (p < 0.0001, aOR = 3.1, 95% CI = 1.1-8.9), and CRP (p < 0.01, aOR = 4.2, 95% CI = 1.8-9.8). Our finding suggests that anti-TNF therapy may inhibit hip joint damage in patients with SpA.
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 | 0.000 | 0.000 |
| 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 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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