Evidence map›Paper›PMID 41531589›Full record

ReviewCureus2025

Advancing Diagnosis of Liver Cirrhosis: Why Non-invasive Methods Are the Future?

Ram Prasad Chaulagain, Khuzin Dinislam, Yelona Shrestha, Dhananjay Kumar Yadav, Abid Ali

Abstract readReview
In one paragraph

Review in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. 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

5 authors.

Ram Prasad ChaulagainInternal Medicine, Second Affiliated Hospital of Harbin Medical University, Harbin, CHN.
Khuzin DinislamGeneral Chemistry, Bashkir State Medical University, Ufa, RUS.
Yelona ShresthaDermatology, First Affiliated Hospital of Xinxiang Medical University, Xinxiang, CHN.
Dhananjay Kumar YadavInternal Medicine, Kunming Medical University, Kunming, CHN.
Abid AliImmunology, Harbin Medical University, Harbin, CHN.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Liver cirrhosis is the irreversible end-stage of chronic liver disease and remains a significant health burden to the global society. Although traditional methods, such as liver biopsy and hepatic venous pressure gradient (HVPG) measurement, are considered the gold standard, they are limited by bleeding, sampling variability, and patient discomfort. This review explores recent advancements in non-invasive methods (NIMs) for diagnosing and monitoring cirrhosis. The primary NIMs include serum biomarkers (e.g., Enhanced Liver Fibrosis {ELF} test, Fibrosis-4 {FIB-4} index), which allow for dynamic monitoring of fibrosis progression, and elastography techniques (e.g., vibration-controlled transient elastography {VCTE}, magnetic resonance elastography {MRE}), which demonstrate high accuracy in detecting advanced fibrosis. Further improving diagnostic accuracy and early detection are emerging technologies, such as AI-driven radiomics and multimodal techniques that combine imaging with genetic and epigenetic markers (e.g., circulating cell-free DNA). Despite its benefits - safety, cost-effectiveness, and reproducibility - NIMs have drawbacks, including inconsistent outcomes due to obesity and unequal availability throughout the world. NIMs are increasingly recommended as first-line tools in clinical guidelines, especially in metabolic dysfunction-associated steatotic liver disease (MASLD). To close implementation gaps in the real world, future developments will focus on standardization, point-of-care devices, and the integration of machine learning models. This review emphasizes NIMs as the foundation of a precision hepatology paradigm that is patient-centered. They are poised to replace invasive techniques as standard practice, lowering costs and improving results.

Indexed as

artificial intelligenceelastographyliver cirrhosismultimodal diagnosticsnon-invasive diagnosisserum biomarkers

Identifiers

PMID41531589
PMCPMC12790941

What OpenQuestion holds

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Registered trials

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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.