Osteoporosis in systemic lupus erythematosus: factors associated with referral for bone mineral density studies, prevalence of osteoporosis and factors associated with reduced bone density
Bibliographic record
Abstract
The purpose of this study was to evaluate the clinical characteristics of women with systemic lupus erythematosus (SLE) sent for a dual energy X-ray absorptiometry (DEXA) study, and to analyse the factors associated with a lower bone mineral density in these patients. Women with SLE who had a DEXA done between 1 January 1995 and 31 December 2000 were compared with those who did not have DEXA scans performed. SLE patients with osteoporosis (OP) were compared with those with a normal bone density. Of 516 women with SLE, 205 had a DEXA done. These patients had more traditional risk factors for osteoporosis, higher lupus disease activity, renal involvement, increased damage, higher mean steroid dose, increased use of immunosuppressants and occurrence of avascular necrosis. Of the 205 patients with DEXA, 18% had osteoporosis, 48.8% had osteopenia and 33.2% had normal bone mineral density. The two statistically significant predictors of a low bone density were a higher age at time of DEXA (P = 0.0003) and a higher SDI score (P = 0.0019). Osteoporosis is a significant comorbidity in SLE. Lupus patients referred for a DEXA have more traditional risk factors and use more corticosteroids. The main factors associated with a low bone density were however found to be age and increased damage. Interestingly, disease activity and corticosteroid use were not associated with osteoporosis in this study which may suggest other potential causes such as decreased physical activity associated with damage.
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 | 0.005 |
| 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 | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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 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".