Factor V Leiden and the etiology of inflammatory bowel disease
Bibliographic record
Abstract
Inflammatory bowel disease (IBD) refers to two chronic diseases that cause inflammation of the intestines: ulcerative colitis and Crohn's disease. Patients suffering from IBD have a three-fold increased risk of venous thrombosis compared with matched controls. Importantly, thromboembolic disease is a significant cause of morbidity and mortality in patients with IBD. However, despite several supporting observations it is still elusive whether activation of the blood coagulation cascade is involved in the etiology and pathogenesis of IBD. To confirm or refute the hypothesis that activated blood coagulation aggravates the development of IBD, we subjected wildtype and homozygous FV Leiden mice to a model of DSS-induced colitis. Experimental colitis led to a reduction in body weight, shortening of the colon and increased colon weight. In addition, DSS treatment led to ulcerations, edema formation, crypt loss, fibrosis and the influx of inflammatory cells into the colon. However, the FV Leiden genotype had no significant effect on any of the DSS-induced symptoms of colitis. We therefore conclude that the FV Leiden allele has no effect in murine colitis and we thus question the importance of activated blood coagulation in the etiology or pathogenesis of IBD.
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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 | 0.000 | 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) | 0.001 | 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".