The value of non-invasive tests for risk stratification in patients with compensated cirrhosis
Bibliographic record
Abstract
Liver cirrhosis is characterized by a long compensatedphase, with a median survival from diagnosis of around12 years. When decompensation occurs (variceal bleeding,jaundice, hepatic encephalopathy or ascites) the expectedmedian survival is around two years [1,2]. Whereas there area number of well-validated scores for prognosis predictionand risk stratification in patients with decompensatedcirrhosis, these are very limited in the case of compensatedcirrhosis [1]. The two most widely validated prognosticfactors in compensated cirrhosis are the presence of clinicallysignificant portal hypertension (CSPH) [3], defined asa hepatic venous pressure gradient ≥10 mmHg, and thepresence of esophageal varices [1]. The gold standard teststo assess CSPH and varices are hepatic vein catheterismand endoscopy, respectively [4]. However, these tests,especially hepatic vein catheterism, are relatively invasiveand impractical for the frequent follow-up of these patients.This has fostered the interest in the use of non-invasive toolsfor the assessment of patients with compensated cirrhosis.
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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 | 0.004 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| 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".