An epidemiological study of Heyde's syndrome: an association between aortic stenosis and gastrointestinal bleeding.
Bibliographic record
Abstract
BACKGROUND AND AIM OF THE STUDY: An association between aortic stenosis (AS) and gastrointestinal (GI) bleeding attributed to intestinal angiodysplasia has been termed Heyde's syndrome. Case-control studies of patients with AS or intestinal angiodysplasia assessing the degree of association have produced discrepant findings. METHODS: Data were examined for all patients discharged from public hospitals in the Republic of Ireland between 1997 and 2001 (3.8 million events) with a primary or secondary discharge diagnosis of AS (ICD-9-CM code 424.1), GI bleeding presumed due to intestinal angiodysplasia (ICD-9-CM codes 569.84, 569.85, 578.1, 578.9), or both. Proportions were compared using chi-squared testing. RESULTS: There was a significant (p <0.0001) association between AS and GI bleeding, with an odds ratio of 4.5 (95% confidence interval 3.0-6.8). Age was a significant confounding factor; patients with both conditions were significantly older than patients with one or none of the conditions (p <0.0001). The incidence of GI bleeding in patients with AS was 0.9%, and the incidence of AS in patients with GI bleeding was 1.5%. CONCLUSION: The results of this large retrospective analysis support the existence of an association between AS and GI bleeding presumed due to intestinal angiodysplasia. However, the percentage of patients with both conditions was low, and this may explain why some smaller studies have failed to demonstrate such an association.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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".