ArticleAnnals of surgery2020
Predictors of Survival After Liver Transplantation in Patients With the Highest Acuity (MELD ≥40).
Article in Annals of surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- AASLD AST Practice Guideline on adult liver transplantation: Candidate evaluation.Hepatology (Baltimore, Md.) · 2026Guideline
- Outcomes of a Modified Portal Venovenous Bypass Technique During Liver Transplantation in High-MELD Recipients.Clinical transplantation · 2026Article
- Application of modified Charlson comorbidity index for predicting outcomes following adult living donor liver transplantation.World journal of hepatology · 2026Article
- Metabolic dysfunction-associated steatotic liver disease as a systemic disorder: extrahepatic manifestations and the need for data-driven phenotyping.Frontiers in endocrinology · 2026Review
- Comparison of time-to-event machine learning models in predicting biliary complication and mortality rate in liver transplant patients.Scientific reports · 2025Article
- The Colorado Heart Failure Acuity Risk Model: A Mortality Model for Waitlisted Cardiac Transplant Patients.JACC. Advances · 2025Article
- Consequences of low estimated glomerular filtration rate either before or early after kidney donation.American journal of transplantation : official journal of the American Society of Transplantation and the American Society of Transplant Surgeons · 2024Article
- Outcomes of critically ill patients with liver failure who require mechanical ventilation: A retrospective, single-center study.Health science reports · 2024Article
- Changing landscape of liver transplant in the United States-Frontiers in transplantation · 2024Review
- Does COVID-19 infection significantly affect liver transplantation? Results of liver transplantation in the COVID-19 era at a single, high-volume centre.BMJ open gastroenterology · 2023Article
Corrections and comments
- Commented on by
Authors and funding
12 authors.
Funding
Abstract
objectiveTo identify factors that accurately predict 1-year survival for liver transplant recipients with a MELD score ≥40.
backgroundAlthough transplant is beneficial for patients with the highest acuity (MELD ≥40), mortality in this group is high. Predicting which patients are likely to survive for >1 year would be medically and economically helpful.
methodsThe Scientific Registry of Transplant Recipients database was reviewed to identify adult liver transplant recipients from 2002 through 2016 with MELD score ≥40 at transplant. The relationships between 44 recipient and donor factors and 1-year patient survival were examined using random survival forests methods. Variable importance measures were used to identify the factors with the strongest influence on survival, and partial dependence plots were used to determine the dependence of survival on the target variable while adjusting for all other variables.
resultsWe identified 5309 liver transplants that met our criteria. The overall 1-year survival of high-acuity patients improved from 69% in 2001 to 87% in 2016. The strongest predictors of death within 1 year of transplant were patient on mechanical ventilator before transplantation, prior liver transplant, older recipient age, older donor age, donation after cardiac death, and longer cold ischemia.
conclusionsLiver transplant outcomes continue to improve even for patients with high medical acuity. Applying ensemble learning methods to recipient and donor factors available before transplant can predict survival probabilities for future transplant cases. This information can be used to facilitate donor/recipient matching and to improve informed consent.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.