Evidence map›Paper›PMID 40235140›Full record

ArticleUnited European gastroenterology journal2025

Minimal Hepatic Encephalopathy in Cirrhotic Patients: A New Simple and Fast Digital Screening Method.

Henrike Dobbermann, Raffael Schlüter, Yevgeniy Lyubchenko, Johanna Beder, Sven Danneberg, Katharina Mitzlaff, Iris Engelbart, Jakob Jessberger, Felix Braun, Thomas Becker and 5 more

Abstract read
In one paragraph

Article in United European gastroenterology 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

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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

15 authors.

Henrike DobbermannDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Raffael SchlüterDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Yevgeniy LyubchenkoDepartment of Electrical Engineering and Computer Science, Technische Hochschule Lübeck, University of Applied Sciences, Lübeck, Germany.
Johanna BederDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Sven DannebergDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Katharina MitzlaffDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Iris EngelbartDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Jakob JessbergerDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.
Felix BraunDepartment of General, Visceral-, Thoracic-, Transplantation- and Pediatric Surgery, University Medical Centre Schleswig-Holstein (UKSH), Kiel, Germany.
Thomas BeckerDepartment of General, Visceral-, Thoracic-, Transplantation- and Pediatric Surgery, University Medical Centre Schleswig-Holstein (UKSH), Kiel, Germany.
Christian LabenzDepartment of Internal Medicine I, University Medical Center of the Johannes Gutenberg-University, Mainz, Germany.ORCID https://orcid.org/0000-0001-8390-9663
Monique JanneckDepartment of Electrical Engineering and Computer Science, Technische Hochschule Lübeck, University of Applied Sciences, Lübeck, Germany.
Denys MatthiesDepartment of Electrical Engineering and Computer Science, Technische Hochschule Lübeck, University of Applied Sciences, Lübeck, Germany.
Friedhelm SaykDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.ORCID https://orcid.org/0000-0002-3437-3265
Jens U MarquardtDepartment of Medicine I, University Medical Center Schleswig-Holstein, Lübeck, Germany.ORCID https://orcid.org/0000-0002-8314-2682

Funding

Merz Pharmaceuticals
6 · The paper itself

Abstract

backroundMinimal hepatic encephalopathy is a common and prognostically severe complication of cirrhosis with a significant impact on the quality of life. Detailed diagnostic work-up of minimal hepatic encephalopathy is time-consuming and difficult to integrate into daily clinical routine.

objectiveWe aimed to develop a new, simple, and easy-applicable smartphone-based self-assessment method for screening of minimal hepatic encephalopathy.

methods92 patients with cirrhosis and 20 healthy controls were recruited to perform 3 different short digital tests on smartphones (Tip test (TT), number connection test (dNCT) and modified Stroop test (ST)). Results were correlated with the Psychometric Hepatic Encephalopathy Score (PHES) as the presumed gold standard for minimal hepatic encephalopathy. The impact of age, gender, education, CHILD and MELD scores was further investigated.

resultsAll 3 digital tests showed good correlation with PHES (TT r = -0.76, dNCT r = -0.58, and ST r = -0.65; all p < 0.001). Digital tests were performed significantly faster (TT median 41s (IQR 36-51s); dNCT median 21s (IQR 8-16s); ST median 76s (IQR 55-99s) than PHES (median 322s; IQR 261-434s); There were significant differences between age groups and different levels of education (p < 0.05). AUC for TT was 0.835 (95% confidence interval 0.747-0.922, p < 0.001) and highest among all digital tests.

conclusionAll 3 digital tests proved to be suitable for screening of minimal hepatic encephalopathy. TT showed the highest correlation with reference PHES and was not affected by language skills or color blindness, and, thus, might represent a new and fast method for minimal hepatic encephalopathy detection. Intra-individually adjusted smartphone-based thresholds might further eliminate the influence of age, gender, educational level or training, to refine early app-based alerts in case of cognitive deterioration in cirrhotic patients.

Indexed as

Hepatic EncephalopathyLiver CirrhosisMass ScreeningSmartphoneAdultAgedCase-Control StudiesFemaleHumansMaleMiddle AgedNeuropsychological TestsPsychometricsQuality of LifeSeverity of Illness IndexStroop TestappCHILDcirrhosiscognitive deteriorationdiagnosisdigitalMELDpsychometric hepatic encephalopathy scoresmartphoneStroop test

Identifiers

PMID40235140
PMCPMC12463687

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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 OpenQuestion graph.