Evidence map›Paper›PMID 37822311›Full record

ArticleHepatology forum2023

Prevalence and predictors of metabolic-associated fatty liver disease in liver transplant recipients: A cross-sectional prospective study.

Gupse Adali, Nermin Mutlu Bilgic, Ahmet Emre Kalaman, Oguzhan Ozturk, Kamil Ozdil

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Article in Hepatology forum, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing 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

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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

10 citing papers in PubMed.

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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.

Gupse AdaliDepartment of Gastroenterology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkiye.
Nermin Mutlu BilgicDepartment of Gastroenterology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkiye.
Ahmet Emre KalamanDeparment of Internal Medicine, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkiye.
Oguzhan OzturkDepartment of Gastroenterology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkiye.
Kamil OzdilDepartment of Gastroenterology, University of Health Sciences, Umraniye Training and Research Hospital, Istanbul, Turkiye.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Aim: Metabolic-associated fatty liver disease (MAFLD) has emerged as a significant global health concern. However, the prevalence and predictors of MAFLD in post-liver transplantation (LT) patients remain uncertain. This study aimed to determine the prevalence and predictors of MAFLD in LT recipients and to assess the effectiveness of controlled attenuation parameter (CAP) values in diagnosing post-transplant MAFLD. Materials and Methods: A cross-sectional prospective study was conducted involving 128 adult patients who had undergone LT, and had received liver imaging, and vibration-controlled transient elastography (VCTE). MAFLD was diagnosed on the basis of the presence of liver steatosis detected through imaging and specific metabolic risk abnormalities. Results: The prevalence of MAFLD after LT was 34.4%, with 22.1% categorized as de novo MAFLD, and 12.3% as recurrent MAFLD. Posttransplant diabetes (OR: 4.88; 95% CI 1.30-18.34; p=0.019) and higher CAP values (OR: 1.04; 95% CI 1.02-1.06; p=0000) were identified as independent predictors of post-LT MAFLD. A CAP cutoff value of 270 dB/m exhibited an area under the receiver operating curve of 0.84 in detecting MAFLD. Conclusion: These findings underscore the notable prevalence of MAFLD in liver transplant recipients and suggest the potential utility of VCTE as a non-invasive tool for its detection.

Indexed as

Controlled attenuation parameter scorefatty liver diseaseliver transplantationmetabolic-associated fatty liver diseasenon-alcoholic fatty liver diseasesteatosis

Identifiers

PMID37822311
PMCPMC10564255

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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.