Data analysis showed that there were significant differences in the detection rate of MAFLD among different age groups, and showed an increasing trend with age ( Figure 2 ).
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Development and validation of a non-invasive prediction model for identifying high-risk children with metabolic dysfunction-associated fatty liver disease.
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