Challenges in Diagnosis and Treatment of Pancreatic Exocrine Insufficiency among Patients with Pancreatic Ductal Adenocarcinoma
Bibliographic record
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is the most common malignancy of the pancreas and is associated with an extremely poor prognosis. Many PDAC patients suffer from profound nutritional complications such as nutrient deficiencies, weight loss, malnutrition, and cancer cachexia. These complications cause barriers to effective anticancer treatments, gravely influence their quality of life, and decrease their overall survival. Pancreatic exocrine insufficiency (PEI) is defined as impaired digestion due to inadequate secretion of pancreatic enzymes and is a common cause of malnutrition in PDAC. This review first summarizes the existing literature around malnutrition in PDAC, with a particular focus on PEI and its management with pancreatic enzyme replacement therapy (PERT). Second, we summarize existing guidelines and recommendations for the management of PEI among patients with PDAC. Lastly, we highlight potential gaps of knowledge of PEI among healthcare providers resulting in underdiagnosis and treatment, which may have implications for the quality of life and overall survival of PDAC patients.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.004 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".