Dietary intake in patients with chronic pancreatitis: A systematic review and meta-analysis
Bibliographic record
Abstract
BACKGROUND: A progressive reduction in the secretion of pancreatic enzymes in patients with chronic pancreatitis (CP) results in malabsorption and ultimate malnutrition. However, the pathogenesis of malnutrition is multifactorial and other factors such as chronic inflammation, alcohol excess and poor dietary intake all contribute. Patients may restrict their dietary intake due to poor appetite or to avoid gastrointestinal symptoms and abdominal pain. Whilst up to half of patients with chronic pancreatitis are reportedly malnourished, the dietary intake of patients with CP is relatively understudied and has not been systematically reviewed to date. AIM: To perform a systematic review and meta-analysis of the dietary intakes of patients with CP compared to healthy controls, and to compare the dietary intake of patients with alcohol-related CP and non-alcohol-related CP. METHODS: , 2019. Adult subjects with a diagnosis of CP who had undergone dietary assessment were included in the systematic review (qualitative analysis). Studies on patients with other pancreatic diseases or who had undergone pancreatic surgery were not included. Studies comparing the dietary intake of patients with CP to that of healthy controls were included in the meta-analysis (quantitative analysis). Meta-analysis was performed using Review Manager 5.3. Newcastle Ottawa Scale (NOS) was used to assess quality of studies. RESULTS: = 0.046], as well as more protein, fat, but not carbohydrate. CONCLUSION: Although patients with CP had similar calorie intake to controls, studies that analysed the contribution of alcohol to energy intake showed that patients with CP consumed fewer non-alcohol calories than healthy controls. A high calorie intake, made up to a large degree by alcohol, may in part contribute to poor nutritional status in CP.
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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 | 0.009 | 0.022 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.014 | 0.027 |
| Bibliometrics | 0.006 | 0.009 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.003 | 0.001 |
| Open science | 0.002 | 0.001 |
| Research integrity | 0.002 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 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".