Amino Acid Imbalance Is an Independent Factor for Mortality in Patients With Liver Cirrhosis

Amino acid imbalance is an independent factor for poor prognosis in patients with cirrhosis. Notably, decreased BCAA and increased tyrosine levels were identified as independent prognostic factors.

Authors

Institutions

Publication Details

Journal
Alimentary Pharmacology & Therapeutics
Published
2026-01-07
DOI
https://doi.org/10.1111/apt.70525
Citations
4
Primary Topic
Liver Disease and Transplantation
Type
article
Field-Weighted Citation Impact
93.53
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Amino Acid Imbalance Is an Independent Factor for Mortality in Patients With Liver Cirrhosis

Shinji Unome, M. Shiraki, Masashi Aiba, Masahito Shimizu et al.
4 citations
Alimentary Pharmacology & Therapeutics
Liver Disease and Transplantation
93.53
article

Amino Acid Imbalance Is an Independent Factor for Mortality in Patients With Liver Cirrhosis

Shinji Unome, M. Shiraki, Masashi Aiba, Masahito Shimizu, Naoki Katsumura, Yuki Utakata, Naoya Masuda, Koji Takai, Takao Miwa, Mikita Oi, Kenji Imai
article en
4 citations

Abstract

Amino acid imbalance is an independent factor for poor prognosis in patients with cirrhosis. Notably, decreased BCAA and increased tyrosine levels were identified as independent prognostic factors.

Alimentary Pharmacology & Therapeutics
University of California San Diego (US), Sapporo Kosei General Hospital (JP), Gifu University (JP)
Good health and well-being
Openalex Percentile: Top 0%
Liver Disease and Transplantation
93.53
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.