Tendinous and Ligamentous Derangements in Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: We assessed the prevalence of selected clinical and radiological features of tendinous and ligamentous derangements in a consecutive sample of patients with systemic lupus erythematosus (SLE). METHODS: Consecutive patients with SLE with no comorbidities attending a tertiary care center were prospectively assessed and underwent plain radiographic evaluation of the pelvis. Radiographs were analyzed by 2 blinded observers; radiographic sacroiliitis was graded 0 to IV. To better assess sacroiliac (SI) involvement, a computed tomography (CT) scan of the SI joints was performed in patients with grade III sacroiliitis. Hip joints and pubis were also assessed as described. RESULTS: Of the 192 included patients, 89% were female, mean age was 36 years, and mean disease duration was 10 years. Inflammatory low back pain was reported by 10% of patients. Sacroiliitis of any grade was observed in 31 patients (16%), and grade III (confirmed on CT scan) sacroiliitis was observed in 6% (95% CI 3% to 9%). Osteitis pubis was diagnosed in 6% (95% CI 3% to 10%) and coxofemoral migration in 8% (95% CI 2% to 9%). Jaccoud's arthropathy was found in 23%. Demographic and clinical variables were not statistically associated with radiographic sacroiliitis. CONCLUSION: Sacroiliitis and other tendinous and ligamentous derangements are not uncommon in patients with SLE. Based on these features and on previous reports, the term "SLE-related tendinous and ligamentous derangements" may be used to establish a common framework for further research and reporting.
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.
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 | 0.001 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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) | 0.002 | 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 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".