The CIRrhotic Ascites Severity (CIRAS) model predicts hepatic hydrothorax at all stages of ascites

The CIRAS model predicts the development of HH in cirrhosis patients with any grade of ascites, suggesting a potential for improved pre-emptive HH management. This complements the general movement towards personalised treatments and care.

Authors

Institutions

Publication Details

Journal
Clinics and Research in Hepatology and Gastroenterology
Published
2024-08-23
DOI
https://doi.org/10.1016/j.clinre.2024.102452
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

The CIRrhotic Ascites Severity (CIRAS) model predicts hepatic hydrothorax at all stages of ascites

Rasmus Hvidbjerg Gantzel, Thomas Deleuran, Hendrik Vilstrup, Peter Jepsen et al.
2 citations
Clinics and Research in Hepatology and Gastroenterology
Liver Disease and Transplantation
0.74
article

The CIRrhotic Ascites Severity (CIRAS) model predicts hepatic hydrothorax at all stages of ascites

Rasmus Hvidbjerg Gantzel, Thomas Deleuran, Hendrik Vilstrup, Peter Jepsen, Hugh Watson
article en
2 citations

Abstract

The CIRAS model predicts the development of HH in cirrhosis patients with any grade of ascites, suggesting a potential for improved pre-emptive HH management. This complements the general movement towards personalised treatments and care.

Clinics and Research in Hepatology and GastroenterologyVol. 48(8)
Aalborg University Hospital (DK), Aarhus University Hospital (DK)
Openalex Percentile: Top 28%
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.