Robust Predictive Performance of the <scp>SALT</scp>‐M Score for Clinical Outcomes in Asian Patients With Acute‐on‐Chronic Liver Failure

SALT-M outperformed previous MELD systems for predicting posttransplant mortality in Asian LT cohort with severe ACLF. Transplantability for patients with severe ACLF could be determined based on SALT-M.

Authors

Institutions

Publication Details

Journal
Alimentary Pharmacology & Therapeutics
Published
2024-10-11
DOI
https://doi.org/10.1111/apt.18335
Citations
2
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
0.74
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Robust Predictive Performance of the SALT‐M Score for Clinical Outcomes in Asian Patients With Acute‐on‐Chronic Liver Failure

Sang Hoon Ahn, Seung Hyuk Yim, Dong Jin Joo, Deok Gie Kim et al.
2 citations
Alimentary Pharmacology & Therapeutics
Liver Disease and Transplantation
0.74
article

Robust Predictive Performance of the SALT‐M Score for Clinical Outcomes in Asian Patients With Acute‐on‐Chronic Liver Failure

Sang Hoon Ahn, Seung Hyuk Yim, Dong Jin Joo, Deok Gie Kim, Jae Geun Lee, Myoung Soo Kim, Jun Yong Park, Hye Won Lee, K. Kim
article en
2 citations

Abstract

SALT-M outperformed previous MELD systems for predicting posttransplant mortality in Asian LT cohort with severe ACLF. Transplantability for patients with severe ACLF could be determined based on SALT-M.

Alimentary Pharmacology & TherapeuticsVol. 61(1)
Yonsei University (KR), Severance Hospital (KR)
Good health and well-being
Openalex Percentile: Top 27%
Liver Disease and Transplantation
0.74
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.