Decompensation as initial presentation in patients with liver cirrhosis is associated with an increased risk of future decompensation and mortality
Bibliographic record
Abstract
Background and Aims The clinical course of patients with liver cirrhosis and adherence to hepatocellular carcinoma (HCC) screening guidelines are not well studied in the Netherlands. We investigated this and potential risk factors for decompensation and transplant-free survival (TFS) in a large regional cohort.Methods We performed a retrospective cohort study of patients with confirmed liver cirrhosis in Amsterdam, the Netherlands. Clinical parameters, decompensation events, development of HCC, and medication use were extracted from medical records.Results In total, 681 hospitalized and outpatients were included. Mortality risk was increased by: age (aHR 1.07, p < 0.01), smoking (aHR 1.83, p < 0.01), decompensated initial presentation (aHR 1.43, p = 0.04) and increased MELD (aHR 1.07, p < 0.01). PPI use tended to increase mortality risk (aHR 1.35, p = 0.05). The risk of future decompensation was increased with increased age (aHR 1.02, p < 0.01), decompensated initial presentation (aHR 1.37, p = 0.03) and alcohol misuse as etiology (aHR 1.34, p = 0.04). Adequately screened patients for HCC had a longer TFS compared to patients who were not (48 vs 22 months), p < 0.01).Conclusions In patients with cirrhosis, decompensation at initial presentation was associated with an increased risk of future decompensation and mortality. Alcoholic cirrhosis was associated with an increased risk of future decompensation. Adequate HCC surveillance was associated with markedly better survival.
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How this classification was reachedexpand
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) | 0.000 | 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 | 0.000 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".