Nutritional support in chronic liver disease and cirrhotics
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
The liver is a major organ and an essential component in maintaining an appropriate nutritional status in healthy individuals through metabolism of protein, carbohydrates, and fat. In individuals with chronic liver disease (CLD), along with a number of other essential functions that the liver serves, its role in nutrition maintenance is severely impaired. Common causes of CLD include hepatitis C, alcoholic liver disease, and non-alcoholic liver disease. Amongst this population, the most common manifestation of impaired nutritional maintenance is protein-calorie malnutrition. Aside from inherent abnormalities in metabolism, such as malabsorption and maldigestion, CLD can be associated with anorexia as well as increased metabolic requirements, all of which contribute to a state of malnutrition. Given the systemic implications and impact on prognosis of malnutrition, proper nutritional assessment is essential and can be achieved through a thorough history and physical, as well as biochemical investigations and anthropometry as needed. Following an appropriate assessment of a patient's nutritional status, an approach to management can be decided upon and is based on the extent of malnutrition which directly reflects the severity of disease. Management options can be grossly separated into enteral and parenteral nutrition. The former is usually sufficient in the form of oral supplements in less severe cases of malnutrition, but as the CLD worsens, parenteral nutrition becomes necessary. With appropriate assessment and early intervention, many of the complications of CLD can be avoided, and ultimately better outcomes can be achieved.
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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 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 | 0.000 |
| 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 it