Body Composition in Iraqi Women With Systemic Lupus Erythematosus
Bibliographic record
Abstract
BACKGROUND & OBJECTIVE: SLE is one of systemic diseases, targeting young patients, so we try to study the one of factors that affected these patients. The aim of our study is to describe the body composition in Iraqi lupus patients, and assess the effect of the disease activity, disease duration, treatment, and patients’ social class in development of sarcopenia. PATIENTS & METHOD: Sixty women, age > 18years with SLE and 56 matched controls were studied. Disease activity measured by systemic lupus erythematosus disease activity index, and functional status measured by systemic lupus erythematosus quality of life questionnaire. Body mass index, waist circumference measured for patients and controls. Body composition analyzed by dual energy absorptiometry x-ray. RESULTS: Mean age for patients was 31.75±10.06 years, and mean disease duration was 19.62±10.76 months. No differences in body mass index, central obesity, lean mass percentage, fat mass percentage, appendicular lean mass index, and bone mineral density between patients and controls. Z score was lower in lupus patients as compared with controls (-1.61±0.8 for patients, -1.26±0.71 for control, p= 0.013). Treatment with azathioprine found to decrease the risk of sarcopenia (p= 0.046). Medical social class and working social class show lower risk for sarcopenia compared to unemployed class (p= 0.003, 0.002 respectively). However disease duration, disease activity, using prednisolone, and functional status had no effect. CONCLUSIONS: No significant differences in body mass index, fat mass percentage, lean mass percentage, and appendicular lean mass index in lupus patients and controls. Lupus patients have higher risk to loss their bone density.
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 | 0.000 | 0.001 |
| 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) | 0.002 | 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".