Bibliographic record
Abstract
Background & Aims: Type 1 hepatorenal syndrome (HRS) is a severe complication of cirrhosis associated with a short median survival time (<2 weeks).Although the administration of terlipressin improves renal function, its effect on survival is unknown.This study investigated predictive factors of survival in patients with type 1 HRS treated with terlipressin.Methods: Ninety-nine patients with type 1 HRS treated with terlipressin in 24 centers were retrospectively studied.Terlipressin-induced improved renal function was defined as a decrease in serum creatinine value to <130 micromol/L or a decrease of at least 20% at the end of treatment.Results: At inclusion, the Child-Pugh score was 11.8؎1.6 (mean؎SD).Terlipressin (3.2؎1.3 mg/day) was administered for 11؎12 days.Renal function improved in 58 (64%) patients (serum creatinine decreased by 46%؎17% from 272؎114 micromol/L).Median survival time was 21 days.Survival rate was 40% at 1 month.Multivariate analysis showed that improved renal function and Child-Pugh score <11 at inclusion were independent predictive factors of survival (P<0.0001 and 0.02, respectively).Thirteen patients underwent liver transplantation (92؎95 days after HRS onset), 10 of whom had received terlipressin and had had improved renal function.Conclusions: This retrospective uncontrolled study shows that in patients with type 1 HRS, terlipressin-induced improved renal function is associated with an increase in survival.Thus, a randomized trial investigating the effect of terlipressin on survival in patients with type 1 HRS should be performed.
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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 | 0.003 |
| 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 | 0.001 |
| 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 | 0.000 |
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 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".