Pancreatic Enzyme Therapy and Nutritional Status of Outpatients With Chronic Pancreatitis
Bibliographic record
Abstract
Patients with chronic pancreatitis are at risk for poor nutritional status. The two major clinical features of chronic pancreatitis are abdominal pain and maldigestion, both resulting in malnutrition. Abdominal pain often results in decreased oral intake, and decreased enzyme production results in maldigestion. Enzyme therapy often is included in treating chronic pancreatitis. There is limited data on the nutritional assessment of outpatients with chronic pancreatitis, and the efficacy of the use of enzyme therapy remains controversial. Serum albumin level and measurement of ideal body weight are two simple measures of nutritional status that can be obtained by gastroenterology nurses. A retrospective chart review was done of patients seen in our outpatient clinic for management of chronic pancreatitis. Serum albumin levels, an indicator of protein calorie malnutrition, were reviewed for 34 patients. Thirty-three percent of these patients were found to have mild-to-moderate protein calorie malnutrition as evidenced by low serum albumin levels. Enzyme therapy information was reviewed for 33 patients. Patients receiving enzyme therapy had better nutritional status based on both serum albumin levels and percent of ideal body weight. Gastroenterology nurses can be instrumental in the recognition and treatment of nutritional deficiencies in chronic pancreatitis.
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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 | 0.000 | 0.006 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".