Evidence map›Paper›PMID 40177206›Full record

ReviewWorld journal of hepatology2025

Hepatic cirrhosis and decompensation: Key indicators for predicting mortality risk.

Sara Del Cioppo, Jessica Faccioli, Lorenzo Ridola

Abstract readReview
In one paragraph

Review in World journal of hepatology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Article
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Sara Del CioppoDepartment of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome 00185, Italy.
Jessica FaccioliDepartment of Translational and Precision Medicine, Sapienza University of Rome, Rome 00185, Italy.
Lorenzo RidolaDepartment of Medical and Surgical Sciences and Biotechnologies, Sapienza University of Rome, Rome 00185, Italy. lorenzo.ridola@uniroma1.it.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cirrhosis represents the final stage of liver diseases. The transition from the compensated to the decompensated form is a critical phase, as it is associated with a negative impact on patient prognosis. Therefore, having a tool to identify patients at higher risk of complications and mortality is an ideal goal. Currently, the validated scores for this purpose are the model for end-stage liver disease score and the Child-Pugh score. However, these scores have limitations, as they do not account for other factors associated with liver cirrhosis that are equally relevant from a prognostic perspective. Among these, alterations in body composition, particularly sarcopenia, increase the risk of mortality and should therefore be considered in the comprehensive assessment of patients with liver cirrhosis.

Indexed as

Artificial intelligenceChild-PughDecompensationLiver cirrhosisModel for end-stage liver diseaseMortalityObesityPrognostic scoreSarcopeniaSurvival

Identifiers

PMID40177206
PMCPMC11959669

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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 Socratic graph.