Clinical Overview of Sarcopenia, Frailty, and Malnutrition in Patients With Liver Cirrhosis
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
Sarcopenia, frailty, and malnutrition in patients with liver cirrhosis are commonly observed and are associated with higher long-term mortality. Therefore, recognizing patients with increased nutritional risk and providing recommended interventions are essential in the long- and short-term management of cirrhosis, especially as alcoholic and non-alcoholic fatty liver disease continues to rise. Various assessment tools are available to gauge frailty and malnutrition but are infrequently used. Given the global burden of liver cirrhosis, periodic screening for malnutrition, sarcopenia, and frailty is desperately needed as it improves liver transplantation outcomes. Necessary steps include addressing knowledge gaps in professional healthcare workers and patients and using standardized assessment tools to counteract physical deconditioning as early as possible. One potential method for assessing sarcopenia involves using computed tomography to evaluate the skeletal muscle index. Regarding frailty, useful tools for longitudinal assessment include the liver frailty index and the Karnofsky performance status. Addressing educational requirements related to malnutrition involves seeking guidance from dieticians, who can provide counseling on achieving sufficient calorie and protein intake to combat the progression of malnutrition.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 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 it