Bone Density in A Population-Based Cohort of Premenopausal Adult Women With Early Onset Inflammatory Bowel Disease
Bibliographic record
Abstract
OBJECTIVE: We aimed to determine the bone mineral density (BMD) using dual energy x-ray absorptiometry in a population-based sample of women with inflammatory bowel disease who were diagnosed before age 20 yr and who are currently premenopausal and less than 45 yr. METHODS: The University of Manitoba Inflammatory Bowel Disease Epidemiology Research Registry was accessed to find eligible women. Of 171 eligible subjects, 82 agreed to participate, and 70 appeared for dual energy x-ray absorptiometry. All subjects completed demographic, clinical, and lifestyle questionnaires and underwent dual energy x-ray absorptiometry with analyses for both areal and volumetric BMD. RESULTS: The mean areal T scores at the lumbar spine, femoral neck, total hip, and total body were −0.14 ± 1.05, −0.15 ± 1.04, −0.25 ± 1.17, and +0.09 ± 1.04, respectively. Forty-five subjects had normal BMD, and 25 had a T score < −1. There were no significant differences between these groups for predictive variables. Only three (4%) had osteoporosis (T score < −2.5 at any site). There were 12 with disease onset before puberty and 58 after puberty. There were no differences between these groups for BMD. Volumetric BMD was slightly higher than areal BMD at the lumbar spine (p < 0.0002), femoral neck (p < 0.01), and total hip (p < 0.001). CONCLUSIONS: In a population-based sample of women diagnosed with IBD before 20 yr of age and who are currently premenopausal, their average BMD is normal and the prevalence of osteoporosis is very low. Despite the potential for children with IBD to develop osteoporosis, their BMD as adults is generally normal.
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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 | 0.000 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 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".