Management of Clinically Significant Itch in Cholestatic Liver Disease
Bibliographic record
Abstract
Cholestatic liver diseases include primary biliary cholangitis (PBC), primary sclerosing cholangitis (PSC), and progressive familial intrahepatic cholestasis (PFIC). In all of these conditions, cholestatic itch is a major symptom that can severely and chronically impact a person’s quality of life (QoL). At a satellite symposium presented at the 2022 meeting of the American Association for the Study of Liver Diseases (AASLD) in Washington, D.C., USA, leading experts discussed the importance of assessing itch in all patients with one of these cholestatic liver diseases. The experts presented patient cases to illustrate the challenges of managing itch in these cholestatic liver diseases. Studies show that many of these patients are not being adequately treated for this important symptom. However, while there are several treatments for itch, although not all are specifically approved medications, finding the right one for each patient may be a process of trial and error. In some cases, for people with severe, chronic, non-treatment-responsive cholestatic itch, a liver transplant may be the only treatment option.
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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 | 0.001 | 0.002 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.002 | 0.001 |
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".