Coeliac and cardiovascular disease: a possible relationship between two apparently separate conditions
Bibliographic record
Abstract
Coeliac disease (CD) is an autoimmune condition with a high prevalence among general population and multisystemic involvement: a more complex scene than a merely gastrointestinal disease. Therefore, an early diagnosis and treatment with a gluten-free diet is mainly important to reduce mortality and comorbidities. Together with autoimmune diseases (as Hashimoto thyroiditis, insulin-dependent diabetes mellitus, autoimmune liver disease and connective tissue diseases), also an accelerated progression of atherosclerosis and a higher prevalence of heart disease have been reported in coeliacs. In the present paper we tried to collect from literature the emergent data on the probable relationship between coeliac and cardiovascular disease, focusing on pathophysiological bases of vascular injury. Data and opinions on the development of cardiovascular risk in patients with CD are conflicting. However, the major evidence supports the theory of an increased cardiovascular risk in CD, due to many mechanisms of myocardial injury, such as chronic malabsorption, abnormalities of intestinal permeability, and direct immune response against self-proteins. The conclusions that come from these data suggest the utility of a careful cardiovascular follow up in coeliac patients.
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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 | 0.003 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.000 | 0.002 |
| Scholarly communication | 0.001 | 0.002 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 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".