Aortic Stiffening Is an Extraintestinal Manifestation of Inflammatory Bowel Disease: Review of the Literature and Expert Panel Statement
Bibliographic record
Abstract
Current guidelines state that systemic inflammation, together with endothelial dysfunction, calcification, and hypercoagulability, predispose to premature atherosclerosis in patients with inflammatory bowel disease (IBD). We assessed whether IBD can affect aortic stiffness, a well-recognized vascular biomarker and an independent risk factor for cardiovascular (CV) disease (CVD) in several populations. Recent studies reported that aortic stiffness is increased in adults with IBD compared with matched controls. This association is dependent on inflammatory burden and disease duration, and is reduced by antitumor necrosis factor therapy. Considered together, current findings suggest that increased aortic stiffness is an extraintestinal manifestation of IBD. This is clinically relevant since measuring aortic stiffness in patients with IBD could improve risk assessment, especially in those without established CVD. Moreover, effective control of inflammation could lower CV risk in patients with IBD by reducing aortic stiffness. Further longitudinal studies are needed to better clarify (i) the relationship between disease duration and irreversible changes of the arterial wall, (ii) the clinical characteristics of patients with IBD that have an increased arterial stiffness at least in part reversible, and (iii) whether arterial stiffness is useful to evaluate the efficacy of immunosuppressive therapy.
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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 | 0.002 | 0.002 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.004 | 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".