The Relation Between Malnutrition and the Exocrine Pancreas
Bibliographic record
Abstract
OBJECTIVE: The relation between malnutrition and exocrine pancreatic insufficiency (EPI) has been described previously, but it is unclear if malnutrition leads to EPI or vice versa. We systematically synthesized current evidence evaluating the association between malnutrition and EPI in children. METHODS: Pubmed, Embase, and Cochrane databases were searched from inception until February 2017. We included cohort or case-controlled studies in children reporting on prevalence or incidence of EPI and malnutrition. Data generation was performed independently by 2 authors. Quality was assessed by using quality assessment tools from the National Heart, Lung, and Blood Institute. RESULTS: Nineteen studies were divided into 2 groups: 10 studies showing EPI leading to malnutrition, and 9 studies showing malnutrition leading to EPI. Because of heterogeneity in design, definitions, and outcome measures, pooling of results was impossible. Quality was good in 4 of 19 studies. Pancreatic insufficiency was linked to decreased nutritional status in 8 of 10 articles, although this link was not specified properly in most articles. In malnourished children, improvement was seen in pancreatic function in 7 of 9 articles after nutritional rehabilitation. The link between the 2 was not further specified. Heterogeneity exists with respect to definitions, outcome measures, and study design. CONCLUSIONS: There is sufficient evidence for an association between EPI and malnutrition. We could not confirm whether there is a correlation or causality between EPI or malnutrition. It was therefore not possible to draw firm conclusions from this systematic review on underlying pathophysiological mechanisms between EPI and malnutrition. More observational clinical trials are crucially needed.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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".