Evidence map›Paper›PMID 40678663›Full record

ArticleCanadian liver journal2025

Underestimation of Liver Fibrosis Using Vibration-Controlled Transient Elastography on Cirrhosis. Are There Predictors?

Gloria Horta, Iyiad Alabdul Razzak, Xinyuan Zhang, Xuehong Zhang, Michelle Lai

Abstract read
In one paragraph

Article in Canadian liver journal, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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.

Gloria HortaDivision of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center-Harvard Medical School, Boston, Massachusetts, USA.
Iyiad Alabdul RazzakDivision of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center-Harvard Medical School, Boston, Massachusetts, USA.
Xinyuan ZhangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Xuehong ZhangChanning Division of Network Medicine, Department of Medicine, Brigham and Women's Hospital and Harvard Medical School, Boston, Massachusetts, USA.
Michelle LaiDivision of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center-Harvard Medical School, Boston, Massachusetts, USA.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Detection of liver fibrosis helps to make therapeutic decisions and with screening in patients with chronic liver diseases. Transient elastography (TE) is an accurate, noninvasive technique to assess liver fibrosis but sometimes it is underestimated. Here we aimed for associations and predictors related to the underestimation of liver fibrosis using TE. Methods: We conducted a prospective cohort study involving adult patients with cirrhosis who underwent TE and had their clinical data analyzed. Patients were categorized into two groups based on liver stiffness measurement (LSM), either ≥10 kPa or <10 kPa, which was considered an underestimation of liver fibrosis. Multivariate analysis and logistic regression models were used to identify predictors and their associated strengths. One-way analysis of variance and multiple Tukey comparisons were used to determine the association with cirrhosis etiology. Results: Of 248 patients included, 29.4% had underestimation of liver fibrosis, and when compared with the ≥10 kPa group, significant differences were found in cirrhosis etiology ( Conclusions: Underestimation of liver fibrosis using TE in cirrhosis likely occurs with hepatitis C virus, nonalcoholic fatty liver disease, and low ALT levels.

Indexed as

fibroscanliver fibrosisliver stiffnesstransient elastography

Identifiers

PMID40678663
PMCPMC12269324

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.