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Editorial
. 2023 Mar 24;7(4):e0112.
doi: 10.1097/HC9.0000000000000112. eCollection 2023 Apr 1.

Clustering NAFLD: phenotypes of nonalcoholic fatty liver disease and their differing trajectories

Konstantinos Kantartzis  1   2   3 , Norbert Stefan  1   2   3
Affiliations
Editorial

Clustering NAFLD: phenotypes of nonalcoholic fatty liver disease and their differing trajectories

Konstantinos Kantartzis et al. Hepatol Commun. .
No abstract available

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Conflict of interest statement

The authors have no conflicts to report.

Figures

FIGURE 1
FIGURE 1
Hypothetical depiction of risk clusters in patients with fatty liver and their relationships with the incidence of diseases and mortality. Several risk clusters can be identified in patients with NAFLD. For the hypothetical clusters, A–C parameters that are often used to generate the clusters are depicted. The font size used for these parameters indicates that the parameters have a large, moderate, or small impact on the assignment of subjects to the individual clusters. The hypothetical clusters X and Y represent additional clusters that can be identified in case additional parameters (1-7) are being used to generate clusters. In most cases, the pathomechanisms linking fatty liver and these risk clusters are unknown. Furthermore, it is unclear whether the risk clusters mediate the fatty liver–associated incidence of diseases and mortality.
See this image and copyright information in PMC

Comment on

References

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MeSH terms