Commentary: Bone Density in Women with Inflammatory Bowel Disease
Bibliographic record
Abstract
Conventional wisdom suggests that children who develop inflammatory bowel disease are at particularly increased risk of osteopenia and osteoporosis because of the effects of disease activity, nutritional factors and medications, especially glucocorticoids, during critical periods of bone growth. In this study, Bernstein et al endeavoured to determine the prevalence of reduced bone mineral density (BMD) in a population-based cohort of women with onset of inflammatory bowel disease (IBD) before 20 years of age. A secondary goal of the study was to compare estimates of the rates of osteopenia and osteoporosis using two different techniques: the more conventional areal BMD and volumetric BMD. The latter measure is designed to account for the reduction in bone size that can occur because of growth delay associated with childhood IBD. On the other hand, areal BMD is said to underestimate true bone density. The authors identified a cohort of patients using their research registry of IBD patients in Manitoba. Women who developed IBD before 20 years of age and who were younger than age 45 at the time of the study were invited to complete a questionnaire and undergo dual energy x-ray absorptiometry (DEXA). Of the 148 subjects who were approached, 70 were eligible and agreed to participate. More than 80% of the participating subjects had Crohn's disease (CD) and more than 80% affected had onset of disease after puberty. BMD did not appear to differ between the patients with prepubertal and those with postpubertal onset. Twenty-five of the 70 subjects had an areal T score less than -1 at one or more site. Only three had osteoporosis (T score less than -2.5). Individuals with a T score less than -1 had lower body weight and were more likely than other patients to have experienced amenorrhea in the year prior to DEXA testing. When T scores were adjusted for abnormalities in bone size, the mean volumetric T score was slightly but statistically significantly higher than the corresponding areal T score at each site.
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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 | 0.004 | 0.027 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.002 | 0.002 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.003 | 0.003 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.006 | 0.001 |
| Research integrity | 0.039 | 0.033 |
| Insufficient payload (model declined to judge) | 0.008 | 0.007 |
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".