The Prevalence of Nonalcoholic Fatty Pancreas by Endoscopic Ultrasonography
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
OBJECTIVES: Pancreatic steatosis or fatty pancreas refers to the fat accumulation in the pancreas, which can lead to inflammation and fibrosis, β-cell dysfunction, fibrosis, and, possibly, pancreatic cancer. This study aimed to study the prevalence of fatty pancreas and its risk factors in patients referred to an endosonography center. METHODS: During 18 months, 228 patients who were referred to our endosonography center for various reasons were evaluated for fatty pancreas. Fatty pancreas was defined as hyperechoic pancreas echotexture compared with spleen echotexture. Demographic characteristics, past medical history, and laboratory measurements were compared between groups with and without fatty pancreas to determine the risk factors for fatty pancreas. RESULTS: The prevalence of fatty pancreas was 25.9%. Patients with fatty pancreas had a significantly higher mean level of uric acid (P = 0.04), frequency of ischemic heart disease (P = 0.03), hyperlipidemia (P = 0.04), frequency of fatty liver (P < 0.001), and aortic intima thickness (P = 0.01). There was no significant difference in age, sex, body mass index, smoking status, substance abuse, and use of oral contraceptives in the 2 groups. CONCLUSIONS: Fatty pancreas is a common disorder. There are meaningful relationships between coronary artery disease, nonalcoholic fatty liver, and atherosclerosis with fatty pancreas.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| 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) | 0.000 | 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 it