Summary of Best Evidence for the Dietary Management in Patients with High-Output Ileostomy
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
Objective: This study aims to systematically search, screen, evaluate, and summarize the best evidence related to the dietary management of patients with high-output ileostomy, providing an evidence-based reference for the dietary management tailored to this specific demographic. Methods: A comprehensive search was conducted across multiple databases, including BMJ best practice, Up to Date, Guidelines International Network, Medlive, National Institute for Health and Care Excellence, Scottish Intercollegiate Guidelines Network, Registered Nurses Association of Ontario, JBI, Cochrane Library, PubMed, CNKI, Wanfang, and VIP databases. Additional searches included websites of professional organizations such as the European Society for Clinical Nutrition and Metabolism, Chinese Society for Parenteral and Enteral Nutrition, American Society for Parenteral and Enteral Nutrition, World Council of Enterostomal Therapists, United Ostomy Associations of America, and International Ostomy Association. Two researchers independently evaluated the quality of the included literature and extracted and summarized the evidence. Results: Eighteen articles were included: 2 clinical decision documents, 5 guidelines, 3 expert consensus statements, 6 expert opinions, and 2 evidence summaries. Thirty pieces of evidence were synthesized, covering nutritional risk screening, dietary guidance, dietary behavior guidance, health education, and follow-up care. Conclusion: The summarized best evidence is scientific and comprehensive, offering an evidence-based guide for healthcare professionals managing the dietary needs of patients with high-output ileostomy.
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.
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) | 0.002 | 0.001 |
| 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 | 0.001 |
| 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 it