Osteoporosis and other complications of inflammatory bowel disease
Bibliographic record
Abstract
Osteoporosis has received increasing attention as a potential complication of inflammatory bowel disease (IBD). The first population-based data on incidence of fractures in an IBD population were published this past year. The incidence of fractures was one per 100 patient years. Compared with the general population, the fracture rate was increased; however, the relative risk was 1.4 and, therefore, not as high as might be expected from the myriad of studies reporting high rates of osteopenia measured by dual energy x-ray absorptiometry (DXA). Another area receiving increasing attention is that of the enhanced risk of venous thrombosis in patients with IBD. The first population-based incidence rates of venous thrombosis in IBD were also published this past year and showed that IBD patients are affected by venous thrombosis at a rate of approximately one per 200 patient years. The relative risk for venous thrombosis compared with the general population was 3.5. Several studies have reported on associated risk markers or genetic clotting abnormalities, but no clear paradigm has emerged to account for those patients who will suffer a clot. Finally, the first North American population-based study was published, quantifying the prevalence rates of extraintestinal manifestations in patients with IBD for at least 10 years. Some gender- and disease-specific findings emerged. This study found that iritis and uveitis were more common in female patients with ulcerative colitis (3.2%), primary sclerosing cholangitis (PSC) was most common in male patients with ulcerative colitis (3%), ankylosing spondylitis was most common in male patients with Crohn disease (2.7%), and erythema nodosum was most likely to occur in female patients with Crohn disease (1.9%).
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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 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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".