Ten-year Absolute Fracture Risk and Hip Bone Strength in Canadian Women with Systemic Lupus Erythematosus
Bibliographic record
Abstract
OBJECTIVE: Women with systemic lupus erythematosus (SLE) are at risk of osteoporosis (OP) and fractures because of SLE or its treatments. We aimed to determine in women with SLE (1) the prevalence of low bone mass (LBM) in those < 50 years of age and OP in those > 50 years of age; (2) the 10-year absolute fracture risk in those > 40 years of age using the Canadian Fracture Risk Assessment Tool (FRAX); (3) bone quality using hip structural analysis (HSA); and (4) the associations between HSA and age, SLE duration, and corticosteroid exposure. METHODS: Women without prior OP fractures were eligible. Bone mineral densities at the hip, spine, and femoral neck were determined using dual-energy x-ray absorptiometry. OP was determined using World Health Organization definitions for participants aged ≥ 50 years (32.8%), and LBM was defined as Z-scores ≤ -2.0 for those aged < 50 years. For those aged ≥ 40 years (63.5%), the 10-year probabilities of a major fracture (FRAX-Major) and hip fracture (FRAX-Hip) were calculated. FRAX-Major ≥ 20% or Hip ≥ 3% was considered high risk. HSA was done in a subgroup (n = 81) of patients. RESULTS: The study group was 271 women. Mean (SD) age was 43.8 (13.1) years and SLE duration was 11.6 (10.4) years. OP was diagnosed in 14.6% and LBM in 8.8%. FRAX-Major ≥ 20% was seen in 9 patients (5.3%), of whom 6 were taking OP medications. FRAX-Hip ≥ 3% occurred in 16 patients (9.4%), of whom 9 were taking OP medications. Buckling ratio at the left hip narrow neck was positively correlated with FRAX-Major, FRAX-Hip, SLE duration, and duration of corticosteroid use. CONCLUSION: LBM is prevalent in women with SLE who are < 50 years of age. FRAX may identify those at higher risk of fractures while HSA can assess bone structure noninvasively.
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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".