Association of Venous Thromboembolism and Inflammatory Bowel Disease
Bibliographic record
Abstract
Introduction: Studies have shown that patients with inflammatory bowel disease (IBD) have an increased risk for venous thromboembolism (VTE). VTEs causes significant morbidity and mortality.Methods: We carried out a comprehensive search through different online databases including PubMed, Google Scholar, Scopus, and Medline. We focused on some of patients-related factors that may affect the risk of VTE incidence among IBD patients and also reviewed current guidelines on the prophylactic regimen of the IBD patients.Results: Based on the previous studies, the hypercoagulable nature of the disease results from a complex interaction between the systems participating in the coagulation cascade, including endothelial cells, platelets, and coagulation factors. There are a number of clinical factors that increase the probability of VTE development which include disease activity, age, pregnancy, surgery, and medical treatment.Conclusion: Taken together, these data suggest to initiate prophylactic regimen in IBD patients and to adjust it regarding to the patient’s condition and the presence of other predisposing factors.
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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 | 0.005 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.004 | 0.009 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.008 | 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".